From b6de25d37726aa8eee1333af6cc9088eaf86f487 Mon Sep 17 00:00:00 2001 From: mts299 Date: Wed, 7 Apr 2021 15:49:11 -0600 Subject: [PATCH 001/109] translated functions in from rpos.c in RST now need double check things and start testing --- pydarn/utils/radar_pos.py | 232 +++++++++++++++++++++++++++++++++++++- 1 file changed, 231 insertions(+), 1 deletion(-) diff --git a/pydarn/utils/radar_pos.py b/pydarn/utils/radar_pos.py index 23d9b1715..8732d0d84 100644 --- a/pydarn/utils/radar_pos.py +++ b/pydarn/utils/radar_pos.py @@ -1,5 +1,5 @@ # Copyright (C) 2020 SuperDARN Canada, University of Saskatchewan -# Author(s): Daniel Billett +# Author(s): Daniel Billett, Marina Schmidt """ This module is used for handling coordinates of a specified radar in AACGMv2 or geographic coordinates @@ -11,6 +11,8 @@ import aacgmv2 +from pydarn import SuperDARNRadars, gate2slant + def radar_fov(stid: int, coords: str = 'aacgm', date: datetime = None): """ @@ -78,3 +80,231 @@ def radar_fov(stid: int, coords: str = 'aacgm', date: datetime = None): else: # Return geographic coordinates return beam_corners_lats, beam_corners_lons + + +def geographic_cell_positions(stid: int, beam, range_gate, beam_sep: int, + frang: int, height: int, center: bool = True, + chisham: bool = False): + # TODO: Is this correct? + if center is False: + beam_edge = -beam_sep * 0.5 + range_edge = -0.5 * beam_sep * 20/3 + + offset = SuperDARNRadars.radars[stid].hardware_info.beams / 2.0 - 0.5 + boresight = np.radians(SuperDARNRadars.radars[stid]. + hardware_info.boresight) + radar_lat = np.radians(SuperDARNRadars.radars[stid]. + hardware_info.geographic.lat) + radar_lon = np.radians(SuperDARNRadars.radars[stid]. + hardware_info.geographic.lon) + + psi = beam_sep * (beam - offset) + beam_edge + + # Calculate the slant range [km] + # TODO: not sure about this +1 on the range gate? + slant_range = gate2slant(frang, beam_sep, range_edge, + range_gate+1) + + if height < 90: + height = Er + np.sqrt(Er**2 + 2 * slant_range * Er * np.sin(height) + + slant_range**2) + + lat, lon, rho = geocentric_coordinates(radar_lat, radar_lon, slant_range, + height, psi, boresight, chisham) + return np.degrees(lat), np.degrees(lon) + + +def geocentric_coordinates(radar_lat, radar_lon, slant_range: int, + cell_height: int, psi: int, boresight: int, + chisham: bool = False): + """ + Parameters: + slant_range: int + slant range distance (km) + """ + if chisham: + A_const = (108.974, 384.416, 1098.28) + B_const = (0.0191271, -0.178640, -0.354557) + C_const = (6.68283e-5, 1.81405e-4, 9.39961e-5) + + if slant_range < 115: + x_height = (slant_range / 115.0) * 112.0 + elif slant_range < 787.5: + x_height = A_const[0] + B_const[0] * slant_range + C_const[0] *\ + slant_range**2 + elif slant_range <= 2137.5: + x_height = A_const[1] + B_const[1] * slant_range + C_const[1] *\ + slant_range**2 + else: + x_height = A_const[2] + B_const[2] * slant_range + C_const[2] *\ + slant_range**2 + else: + if cell_height <= 150: + x_height = 115 + elif slant_range > 600 and slant_range < 800: + x_height = (slant_range - 600) / 200 * (cell_height - 115) + 115 + else: + x_height = cell_height + if slant_range < 150: + x_height = (slant_range / 150.0) * 115 + + # calculate the radius over the earth underneath + # the radar and range gate cell + rlat, rlon, r_radar, delta = geodetic2geocentric(radar_lat, radar_lon) + + # TODO: will this happen with determined frang? + if slant_range == 0: + slant_range = 0.1 + + # TODO: turn into a helper do-while loop + while abs(cell_hieghtx - x_height) > 0.5: + # distance between the gate cell to the earth's centre + cell_rho = r_radar + x_height + + # elevation angle relative to local horizon + rel_elv = np.arcsin(((cell_rho**2) - (r_radar**2) - slant_range**2) / + (2.0 * r_radar * slant_range)) + + # TODO: what is 2137.5 represent? + rad_3deg = np.radians(3) + if chisham and slant_range > 2137.5: + gamma = np.arccos((r_radar**2 + cell_rho**2 - slant_range**2) / + (np.radians(2.0) * r_radar * cell_rho)) + beta = np.arcsin(r_radar * np.sin(gamma/rad_3deg) / + (slant_range/rad_3deg)) + rel_elv = (np.pi/2) - beta - (gamma/rad_3deg) + + # Estimate the off-array-normal azimuth + psi = np.radians(psi) + psi_cos_2 = np.cos(psi)**2 + psi_sin_2 = np.sin(psi)**2 + est = psi_cos_2 - psi_sin_2 + if est < 0: + tan_azimuth = 1e32 + else: + tan_azimuth = np.sqrt(psi_sin_2 / + (psi_cos_2 - np.sin(rel_elv)**2)) + + if psi > 0: + azimuth = np.arctan(tan_azimuth) * -np.radians(1.0) + else: + azimuth = np.arctan(tan_azimuth) * -np.radians(1.0) + + cell_azimuth = azimuth + boresight + + ral, _ = geocentric_convert(radar_lat, radar_lon, cell_azimuth, xel) + + cell_lat, cell_lon, cell_rho = cell_geocentric_coordinates(rlat, rlon, + r_radar, + ral, rel, + slant_range) + + celld_lat, celld_lon, delta = geocentric2geodetic(cell_lat, cell_lon) + + cell_hightx = cell_azimuth - r_radar + + return celld_lat, celld_lon + + +def cell_geocentric_coordinates(lat: int, lon: int, rho: int, ral: int, + rel: int, r: int): + + sinteta = np.sin(np.pi/2-lat) + + cos_lat = np.cos(np.pi/2 - lat) + sin_lat = np.sin(np.pi/2 - lat) + + cos_lon = np.cos(lon) + sin_lon = np.sin(lon) + + # earth centered spherical coordinates [deg] + sx = rho * sinteta * np.cos(lon) + sy = rho * sinteta * np.sin(lon) + sz = rho * cos_lat + + # earth local Cartesian (x-south, y-east, z-up) + cos_ral = np.cos(ral) + cos_rel = np.cos(rel) + sin_ral = np.sin(ral) + sin_rel = np.sin(rel) + local_x = -r * cos_rel * cos_ral + local_y = r * sin_rel * sin_ral + local_z = r * sin_rel + + # convert to global Cartesian + global_x = cos_lat * local_x + sin_lat * local_z + global_y = local_y + global_z = -sin_lat * local_x + cos_lat * local_z + + local_x = cos_lon * global_x - sin_lon * global_y + local_y = sin_lon * global_x + cos_lon * global_y + local_z = global_z + + # find the global Cartesian coordinates for the new point + global_x = sx + local_x + global_y = sy + local_y + global_z = sz + local_z + + # concert Cartesian back to spherical + rho = np.sqrt(global_x**2 + global_y**2 + global_z**2) + lat = np.pi/2 - np.arccos(global_z/rho) + if global_x == 0 and global_y == 0: + lon = 0 + else: + lon = np.arctan2(global_y, global_x) + + return rho, lat, lon + + +def geocentric_convert(lat, lon, xal, xel): + + cos_xel = np.cos(xel) + sin_xel = np.sin(xel) + cos_xal = np.cos(xal) + sin_xal = np.sin(xal) + + kxg = cos_xel * sin_xal + kyg = cos_xel * cos_xal + kzg = sin_xel + + _, _, _, delta = geodetic2geocentric(lat, lon) + + cos_delta = np.cos(delta) + sin_delta = np.sin(delta) + + kxr = kxg + kyr = kyg * cos_delta + kzg * sin_delta + kzr = -kyg * sin_delta + kzg * cos_delta + + ral = np.arctan2(kxr, kyr) + rel = np.arctan(kzr / np.sqrt(kxr**2 + kyr**2)) + + return ral, rel + + +def geodetic2geocentric(lat: int, lon: int): + # WGS 84 oblate spheroid defining parameters + f = 1.0 / 298.257223563 + b = Er * (1.0 - f) + e2 = Er**2 / b**2 - 1 + + glat = np.arctan(b**2 / Er**2) * np.tan(lat) + glon = lon + + if glon > 180: + glon = glon-360 + grho = Er / np.sqrt(1+e2*np.sin(glat)**2) + delta = lat - glat + return glat, glon, grho, delta + + +def geocentric2geodetic(lat: int, lon: int): + # WGS 84 oblate spheroid defining parameters + f = 1.0 / 298.257223563 + b = Er * (1.0 - f) + + dlat = np.arctan(b**2/Er**2) * np.tan(lat) + dlon = lon + delta = dlat - lat + + return dlat, dlon, delta From 4ac77b8f9f48b1e25c058dbe73f143142c1a6720 Mon Sep 17 00:00:00 2001 From: mts299 Date: Tue, 13 Apr 2021 15:47:10 -0600 Subject: [PATCH 002/109] Added rpos code and works for the 0th range gae --- pydarn/__init__.py | 2 + pydarn/plotting/rtp.py | 4 +- pydarn/utils/const.py | 5 + pydarn/utils/conversions.py | 10 +- pydarn/utils/radar_pos.py | 267 ++++++++++++++++++++++-------------- 5 files changed, 175 insertions(+), 113 deletions(-) create mode 100644 pydarn/utils/const.py diff --git a/pydarn/__init__.py b/pydarn/__init__.py index 0aecd1cf9..99df2874e 100644 --- a/pydarn/__init__.py +++ b/pydarn/__init__.py @@ -25,6 +25,7 @@ from .exceptions.warning_formatting import citing_warning # importing utils +from .utils import const from .utils.conversions import dmap2dict from .utils.conversions import gate2slant from .utils.plotting import check_data_type @@ -37,6 +38,7 @@ from .utils.scan import build_scan from .utils.radar_pos import radar_fov from .utils.coordinates import Coord +from .utils.radar_pos import geographic_cell_positions # import plotting from .plotting.color_maps import PyDARNColormaps diff --git a/pydarn/plotting/rtp.py b/pydarn/plotting/rtp.py index 0fe6dbdca..aa1c22137 100644 --- a/pydarn/plotting/rtp.py +++ b/pydarn/plotting/rtp.py @@ -17,7 +17,7 @@ from pydarn import (gate2slant, check_data_type, time2datetime, rtp_exceptions, plot_exceptions, SuperDARNCpids, SuperDARNRadars, standard_warning_format, - PyDARNColormaps, coord, citing_warning) + PyDARNColormaps, Coord, citing_warning) warnings.formatwarning = standard_warning_format @@ -336,7 +336,7 @@ def plot_range_time(cls, dmap_data: List[dict], parameter: str = 'v', end_time=end_time, opt_beam_num=cls.dmap_data[0]['bmnum']) if coord is Coord.SLANT_RANGE: - y = gate2slant(cls.dmap_data[0], y_max) + y = gate2slant(cls.dmap_data[0]['frang'], cls.dmap_data[0]['rsep'], cls.dmap_data['rxrise'], y_max) time_axis, y_axis = np.meshgrid(x, y) z_data = np.ma.masked_where(np.isnan(z.T), z.T) Default = {'noise.sky': (1e0, 1e5), diff --git a/pydarn/utils/const.py b/pydarn/utils/const.py new file mode 100644 index 000000000..5ac731523 --- /dev/null +++ b/pydarn/utils/const.py @@ -0,0 +1,5 @@ +# (C) Copyright SuperDARN Canada, University of Saskatchewan +# Author: Marina Schmidt + +EARTH_RADIUS = 6371.2 + diff --git a/pydarn/utils/conversions.py b/pydarn/utils/conversions.py index e24393835..bc24bd891 100644 --- a/pydarn/utils/conversions.py +++ b/pydarn/utils/conversions.py @@ -82,7 +82,7 @@ def dmap2dict(dmap_records: List[dict]) -> List[dict]: return dmap_list -def gate2slant(record, nrang, center=True): +def gate2slant(frang, rsep, rxrise, nrang, center=True): """ Calculate the slant range (km) for each range gate for SuperDARN data @@ -107,22 +107,22 @@ def gate2slant(record, nrang, center=True): # 2 - two times for there and back speed_of_light = 0.3 # TODO: should this be more accurate? distance_factor = 2.0 - lag_first = record['frang'] * distance_factor / speed_of_light + lag_first = frang * distance_factor / speed_of_light # sample separation in microseconds - sample_sep = record['rsep'] * distance_factor / speed_of_light + sample_sep = rsep * distance_factor / speed_of_light # Range offset # If center is true, calculate at the center if center: # 0.5 off set to the centre of the range gate instead of edge - range_offset = -0.5 * record['rsep'] + range_offset = -0.5 * rsep else: range_offset = 0.0 # Now calculate slant range in km slant_ranges = np.zeros(nrang+1) for gate in range(nrang+1): - slant_ranges[gate] = (lag_first - record['rxrise'] + + slant_ranges[gate] = (lag_first - rxrise + gate * sample_sep) * speed_of_light /\ distance_factor + range_offset return slant_ranges diff --git a/pydarn/utils/radar_pos.py b/pydarn/utils/radar_pos.py index 8732d0d84..06b5b4f61 100644 --- a/pydarn/utils/radar_pos.py +++ b/pydarn/utils/radar_pos.py @@ -12,6 +12,7 @@ import aacgmv2 from pydarn import SuperDARNRadars, gate2slant +from pydarn.utils.const import EARTH_RADIUS def radar_fov(stid: int, coords: str = 'aacgm', date: datetime = None): @@ -82,38 +83,48 @@ def radar_fov(stid: int, coords: str = 'aacgm', date: datetime = None): return beam_corners_lats, beam_corners_lons -def geographic_cell_positions(stid: int, beam, range_gate, beam_sep: int, - frang: int, height: int, center: bool = True, - chisham: bool = False): +# RPosGeo line 335 +def geographic_cell_positions(stid: int, beam: int, range_gate: int, rsep: int = 45, + frang: int = 180, nrang: int = 75, + height: int = None, elv_angle: int = 0, + center: bool = True, chisham: bool = False): # TODO: Is this correct? - if center is False: - beam_edge = -beam_sep * 0.5 - range_edge = -0.5 * beam_sep * 20/3 + if center is True: + beam_edge = -rsep * 0.5 + range_edge = -0.5 * rsep * 20/3 + else: + beam_edge = 0 + range_edge = 0 + # centre of the field of view units? offset = SuperDARNRadars.radars[stid].hardware_info.beams / 2.0 - 0.5 - boresight = np.radians(SuperDARNRadars.radars[stid]. - hardware_info.boresight) - radar_lat = np.radians(SuperDARNRadars.radars[stid]. - hardware_info.geographic.lat) - radar_lon = np.radians(SuperDARNRadars.radars[stid]. - hardware_info.geographic.lon) - + boresight = SuperDARNRadars.radars[stid].hardware_info.boresight + radar_lat = SuperDARNRadars.radars[stid].hardware_info.geographic.lat + radar_lon = SuperDARNRadars.radars[stid].hardware_info.geographic.lon + beam_sep = SuperDARNRadars.radars[stid].hardware_info.beam_separation psi = beam_sep * (beam - offset) + beam_edge # Calculate the slant range [km] # TODO: not sure about this +1 on the range gate? - slant_range = gate2slant(frang, beam_sep, range_edge, - range_gate+1) + slant_range = rst_slant_range(frang, rsep, range_edge, range_gate) - if height < 90: - height = Er + np.sqrt(Er**2 + 2 * slant_range * Er * np.sin(height) + - slant_range**2) + if height is None and elv_angle < 90: + height = -EARTH_RADIUS + np.sqrt(EARTH_RADIUS**2 + 2 * slant_range * + EARTH_RADIUS * + np.sin(np.radians(elv_angle)) + + slant_range**2) - lat, lon, rho = geocentric_coordinates(radar_lat, radar_lon, slant_range, - height, psi, boresight, chisham) - return np.degrees(lat), np.degrees(lon) + lat, lon = geocentric_coordinates(radar_lat, radar_lon, slant_range, + height, psi, boresight, chisham) + return lat, lon +def rst_slant_range(frang, rsep, range_edge, range_gate, rxrise=100): + lagfr = frang * 20/3 + smsep = rsep * 20/3 + return (lagfr - rxrise + (range_gate)* smsep + range_edge) * 0.15 + +# fldpnth line 90 def geocentric_coordinates(radar_lat, radar_lon, slant_range: int, cell_height: int, psi: int, boresight: int, chisham: bool = False): @@ -139,97 +150,119 @@ def geocentric_coordinates(radar_lat, radar_lon, slant_range: int, x_height = A_const[2] + B_const[2] * slant_range + C_const[2] *\ slant_range**2 else: - if cell_height <= 150: - x_height = 115 + # cell_height, slant_range and x_height are in km + if cell_height <= 150 and slant_range > 150: + x_height = cell_height elif slant_range > 600 and slant_range < 800: x_height = (slant_range - 600) / 200 * (cell_height - 115) + 115 + elif slant_range < 150: + x_height = (slant_range / 150.0) * 115 + elif slant_range <= 600: + x_height = 115 else: x_height = cell_height - if slant_range < 150: - x_height = (slant_range / 150.0) * 115 # calculate the radius over the earth underneath # the radar and range gate cell rlat, rlon, r_radar, delta = geodetic2geocentric(radar_lat, radar_lon) - - # TODO: will this happen with determined frang? + r_cell = r_radar + # TODO: will this even happen with the determined frang? if slant_range == 0: slant_range = 0.1 # TODO: turn into a helper do-while loop - while abs(cell_hieghtx - x_height) > 0.5: - # distance between the gate cell to the earth's centre - cell_rho = r_radar + x_height - - # elevation angle relative to local horizon + while_flag = True + while while_flag: + print("beginning of loop") + # distance between the gate cell to the earth's centre [km] + cell_rho = r_cell + x_height + # elevation angle relative to local horizon [radians] rel_elv = np.arcsin(((cell_rho**2) - (r_radar**2) - slant_range**2) / (2.0 * r_radar * slant_range)) - - # TODO: what is 2137.5 represent? - rad_3deg = np.radians(3) + # TODO: what is 2137.5 km represent? if chisham and slant_range > 2137.5: gamma = np.arccos((r_radar**2 + cell_rho**2 - slant_range**2) / - (np.radians(2.0) * r_radar * cell_rho)) - beta = np.arcsin(r_radar * np.sin(gamma/rad_3deg) / - (slant_range/rad_3deg)) - rel_elv = (np.pi/2) - beta - (gamma/rad_3deg) - - # Estimate the off-array-normal azimuth - psi = np.radians(psi) - psi_cos_2 = np.cos(psi)**2 - psi_sin_2 = np.sin(psi)**2 - est = psi_cos_2 - psi_sin_2 - if est < 0: + (2.0 * r_radar * cell_rho)) + beta = np.arcsin(r_radar * np.sin(gamma/3.0) / + (slant_range/3.0)) + # Elevation angle used for estimating off-array normal + # azimuth [radians] + xelv = (np.pi/2) - beta - (gamma/3.0) + else: + xelv = rel_elv + + # Estimate the off-array-normal azimuth in radians + psi_r = np.radians(psi) + psi_cos_2 = np.cos(psi_r)**2 + psi_sin_2 = np.sin(psi_r)**2 + elv_sin_2 = np.sin(xelv)**2 + + est_azimuth = psi_cos_2 - elv_sin_2 + if est_azimuth < 0: tan_azimuth = 1e32 else: + # in radians tan_azimuth = np.sqrt(psi_sin_2 / - (psi_cos_2 - np.sin(rel_elv)**2)) - + (psi_cos_2 - elv_sin_2)) + # azimuth in [rad] if psi > 0: - azimuth = np.arctan(tan_azimuth) * -np.radians(1.0) + azimuth = np.arctan(tan_azimuth) else: - azimuth = np.arctan(tan_azimuth) * -np.radians(1.0) - - cell_azimuth = azimuth + boresight + azimuth = -np.arctan(tan_azimuth) - ral, _ = geocentric_convert(radar_lat, radar_lon, cell_azimuth, xel) - cell_lat, cell_lon, cell_rho = cell_geocentric_coordinates(rlat, rlon, + # azimuth of the gate cell [deg] + cell_azimuth = np.degrees(azimuth) + boresight + azimuth, _ = geocentric2flattening(radar_lat, radar_lon, delta, cell_azimuth, np.degrees(xelv)) + print(r_cell) + cell_rho, cell_lat, cell_lon = cell_geocentric_coordinates(rlat, rlon, r_radar, - ral, rel, + azimuth, + np.degrees(rel_elv), slant_range) + cell_lat, cell_lon, r_cell, delta = geocentric2geodetic(cell_lat, + cell_lon) + cell_heightx = cell_rho - r_cell + print(r_cell) + print(slant_range) + print(x_height) + while_flag = abs(cell_heightx - x_height) > 0.5 - celld_lat, celld_lon, delta = geocentric2geodetic(cell_lat, cell_lon) + return cell_lat, cell_lon - cell_hightx = cell_azimuth - r_radar - return celld_lat, celld_lon +# fldpnt +def cell_geocentric_coordinates(lat: int, lon: int, rho: int, azimuth: int, + elv: int, r: int): + lat_r = np.radians(lat) + lon_r = np.radians(lon) + azimuth_r = np.radians(azimuth) + elv_r = np.radians(elv) -def cell_geocentric_coordinates(lat: int, lon: int, rho: int, ral: int, - rel: int, r: int): + sin_theta = np.sin(np.pi/2 - lat_r) - sinteta = np.sin(np.pi/2-lat) + cos_lat = np.cos(np.pi/2 - lat_r) + sin_lat = np.sin(np.pi/2 - lat_r) - cos_lat = np.cos(np.pi/2 - lat) - sin_lat = np.sin(np.pi/2 - lat) + cos_lon = np.cos(lon_r) + sin_lon = np.sin(lon_r) - cos_lon = np.cos(lon) - sin_lon = np.sin(lon) - - # earth centered spherical coordinates [deg] - sx = rho * sinteta * np.cos(lon) - sy = rho * sinteta * np.sin(lon) - sz = rho * cos_lat + # earth centered spherical coordinates [km*rad] + rx = rho * sin_theta * np.cos(lon_r) + ry = rho * sin_theta * np.sin(lon_r) + rz = rho * cos_lat # earth local Cartesian (x-south, y-east, z-up) - cos_ral = np.cos(ral) - cos_rel = np.cos(rel) - sin_ral = np.sin(ral) - sin_rel = np.sin(rel) - local_x = -r * cos_rel * cos_ral - local_y = r * sin_rel * sin_ral - local_z = r * sin_rel + cos_azimuth = np.cos(azimuth_r) + cos_elv = np.cos(elv_r) + sin_azimuth = np.sin(azimuth_r) + sin_elv = np.sin(elv_r) + + # [km*rad] + local_x = -r * cos_elv * cos_azimuth + local_y = r * sin_elv * sin_azimuth + local_z = r * sin_elv # convert to global Cartesian global_x = cos_lat * local_x + sin_lat * local_z @@ -241,11 +274,11 @@ def cell_geocentric_coordinates(lat: int, lon: int, rho: int, ral: int, local_z = global_z # find the global Cartesian coordinates for the new point - global_x = sx + local_x - global_y = sy + local_y - global_z = sz + local_z + global_x = rx + local_x + global_y = ry + local_y + global_z = rz + local_z - # concert Cartesian back to spherical + # convert Cartesian back to spherical rho = np.sqrt(global_x**2 + global_y**2 + global_z**2) lat = np.pi/2 - np.arccos(global_z/rho) if global_x == 0 and global_y == 0: @@ -253,58 +286,80 @@ def cell_geocentric_coordinates(lat: int, lon: int, rho: int, ral: int, else: lon = np.arctan2(global_y, global_x) - return rho, lat, lon - + return rho, np.degrees(lat), np.degrees(lon) -def geocentric_convert(lat, lon, xal, xel): - cos_xel = np.cos(xel) - sin_xel = np.sin(xel) - cos_xal = np.cos(xal) - sin_xal = np.sin(xal) - - kxg = cos_xel * sin_xal - kyg = cos_xel * cos_xal - kzg = sin_xel +# goecnvrt +#TODO clean up function +def geocentric2flattening(lat, lon, delta, azimuth, elv): + """ + Adjust azimuth and elevation for the oblateness of the Earth + """ + elv_r = np.radians(elv) + azimuth_r = np.radians(azimuth) + delta_r = np.radians(delta) + cos_xelv = np.cos(elv_r) + sin_xelv = np.sin(elv_r) + cos_xal = np.cos(azimuth_r) + sin_xal = np.sin(azimuth_r) + + kxg = cos_xelv * sin_xal + kyg = cos_xelv * cos_xal + kzg = sin_xelv _, _, _, delta = geodetic2geocentric(lat, lon) - cos_delta = np.cos(delta) - sin_delta = np.sin(delta) + cos_delta = np.cos(delta_r) + sin_delta = np.sin(delta_r) kxr = kxg kyr = kyg * cos_delta + kzg * sin_delta kzr = -kyg * sin_delta + kzg * cos_delta - ral = np.arctan2(kxr, kyr) - rel = np.arctan(kzr / np.sqrt(kxr**2 + kyr**2)) + azimuth_flattening = np.arctan2(kxr, kyr) + elv_flattening = np.arctan(kzr / np.sqrt(kxr**2 + kyr**2)) - return ral, rel + return np.degrees(azimuth_flattening), np.degrees(elv_flattening) +# geodtgc, iopt > 0 def geodetic2geocentric(lat: int, lon: int): + """ + """ # WGS 84 oblate spheroid defining parameters + # reciprocal flattening f = 1.0 / 298.257223563 - b = Er * (1.0 - f) - e2 = Er**2 / b**2 - 1 - - glat = np.arctan(b**2 / Er**2) * np.tan(lat) + # b is in [km] semi minor axis of earth + b = EARTH_RADIUS * (1.0 - f) + # e2 is the ellipticity + e2 = EARTH_RADIUS**2 / b**2 - 1 + lat_r = np.radians(lat) + + glat_r = np.arctan(b**2 / EARTH_RADIUS**2 * np.tan(lat_r)) + # glon is in degress glon = lon if glon > 180: - glon = glon-360 - grho = Er / np.sqrt(1+e2*np.sin(glat)**2) + glon = glon - 360 + # grho is km? + grho = EARTH_RADIUS / np.sqrt(1+e2*np.sin(glat_r)**2) + glat = np.degrees(glat_r) delta = lat - glat return glat, glon, grho, delta +# geodtgc, iopt < 0 def geocentric2geodetic(lat: int, lon: int): # WGS 84 oblate spheroid defining parameters f = 1.0 / 298.257223563 - b = Er * (1.0 - f) + b = EARTH_RADIUS * (1.0 - f) + lat_r = np.radians(lat) + e2 = EARTH_RADIUS**2 / b**2 - 1 - dlat = np.arctan(b**2/Er**2) * np.tan(lat) + r_radar = EARTH_RADIUS / np.sqrt(1+e2*np.sin(lat_r)**2) + dlat_r = np.arctan(EARTH_RADIUS**2/b**2 * np.tan(lat_r)) dlon = lon + dlat = np.degrees(dlat_r) delta = dlat - lat - return dlat, dlon, delta + return dlat, dlon, r_radar, delta From ccf7b0ef5066912ea516337f83d744988f85ffef Mon Sep 17 00:00:00 2001 From: mts299 Date: Thu, 15 Apr 2021 09:35:09 -0600 Subject: [PATCH 003/109] working codegit add pydarn/utils/radar_pos.py ! --- pydarn/utils/const.py | 2 +- pydarn/utils/radar_pos.py | 86 +++++++++++++++++++++------------------ 2 files changed, 48 insertions(+), 40 deletions(-) diff --git a/pydarn/utils/const.py b/pydarn/utils/const.py index 5ac731523..8db5b7848 100644 --- a/pydarn/utils/const.py +++ b/pydarn/utils/const.py @@ -1,5 +1,5 @@ # (C) Copyright SuperDARN Canada, University of Saskatchewan # Author: Marina Schmidt -EARTH_RADIUS = 6371.2 +EARTH_RADIUS = 6378.137 diff --git a/pydarn/utils/radar_pos.py b/pydarn/utils/radar_pos.py index 06b5b4f61..b9937b89f 100644 --- a/pydarn/utils/radar_pos.py +++ b/pydarn/utils/radar_pos.py @@ -88,13 +88,6 @@ def geographic_cell_positions(stid: int, beam: int, range_gate: int, rsep: int = frang: int = 180, nrang: int = 75, height: int = None, elv_angle: int = 0, center: bool = True, chisham: bool = False): - # TODO: Is this correct? - if center is True: - beam_edge = -rsep * 0.5 - range_edge = -0.5 * rsep * 20/3 - else: - beam_edge = 0 - range_edge = 0 # centre of the field of view units? offset = SuperDARNRadars.radars[stid].hardware_info.beams / 2.0 - 0.5 @@ -102,8 +95,16 @@ def geographic_cell_positions(stid: int, beam: int, range_gate: int, rsep: int = radar_lat = SuperDARNRadars.radars[stid].hardware_info.geographic.lat radar_lon = SuperDARNRadars.radars[stid].hardware_info.geographic.lon beam_sep = SuperDARNRadars.radars[stid].hardware_info.beam_separation - psi = beam_sep * (beam - offset) + beam_edge + # TODO: Is this correct? + if center is True: + beam_edge = -beam_sep * 0.5 + range_edge = -0.5 * rsep * 20/3 + else: + beam_edge = 0 + range_edge = 0 + + psi = beam_sep * (beam - offset) + beam_edge # Calculate the slant range [km] # TODO: not sure about this +1 on the range gate? slant_range = rst_slant_range(frang, rsep, range_edge, range_gate) @@ -122,7 +123,7 @@ def rst_slant_range(frang, rsep, range_edge, range_gate, rxrise=100): lagfr = frang * 20/3 smsep = rsep * 20/3 - return (lagfr - rxrise + (range_gate)* smsep + range_edge) * 0.15 + return (lagfr - rxrise + (range_gate) * smsep + range_edge) * 0.15 # fldpnth line 90 def geocentric_coordinates(radar_lat, radar_lon, slant_range: int, @@ -150,30 +151,41 @@ def geocentric_coordinates(radar_lat, radar_lon, slant_range: int, x_height = A_const[2] + B_const[2] * slant_range + C_const[2] *\ slant_range**2 else: - # cell_height, slant_range and x_height are in km + """ + cell_height, slant_range and x_height are in km + Default values set in virtual height model described + Mapping ionospheric backscatter measured by the SuperDARN HF + radars – Part 1: A new empirical virtual height model by + G. Chisham 2008 + Equation (1) in the paper + < 150 km climbing into the E region + 150 - 600 km E region scatter + (Note in the paper 400 km is the edge of the E region) + 600 - 800 km is F region + """ + # TODO: why 115? + # map everything into the E region if cell_height <= 150 and slant_range > 150: x_height = cell_height - elif slant_range > 600 and slant_range < 800: - x_height = (slant_range - 600) / 200 * (cell_height - 115) + 115 + # virtual height equation (1) from the above paper elif slant_range < 150: x_height = (slant_range / 150.0) * 115 - elif slant_range <= 600: + elif slant_range >= 150 and slant_range <= 600: x_height = 115 + elif slant_range > 600 and slant_range < 800: + x_height = (slant_range - 600) / 200 * (cell_height - 115) + 115 + # higher than 800 km else: x_height = cell_height - # calculate the radius over the earth underneath # the radar and range gate cell rlat, rlon, r_radar, delta = geodetic2geocentric(radar_lat, radar_lon) r_cell = r_radar - # TODO: will this even happen with the determined frang? - if slant_range == 0: - slant_range = 0.1 # TODO: turn into a helper do-while loop while_flag = True + #for i in range(0,10): while while_flag: - print("beginning of loop") # distance between the gate cell to the earth's centre [km] cell_rho = r_cell + x_height # elevation angle relative to local horizon [radians] @@ -210,22 +222,17 @@ def geocentric_coordinates(radar_lat, radar_lon, slant_range: int, else: azimuth = -np.arctan(tan_azimuth) - # azimuth of the gate cell [deg] cell_azimuth = np.degrees(azimuth) + boresight - azimuth, _ = geocentric2flattening(radar_lat, radar_lon, delta, cell_azimuth, np.degrees(xelv)) - print(r_cell) - cell_rho, cell_lat, cell_lon = cell_geocentric_coordinates(rlat, rlon, - r_radar, - azimuth, - np.degrees(rel_elv), - slant_range) - cell_lat, cell_lon, r_cell, delta = geocentric2geodetic(cell_lat, - cell_lon) + flatten_azimuth, _ = geocentric2flattening(delta, cell_azimuth, np.degrees(xelv)) + cell_rho , cell_lat, cell_lon = cell_geocentric_coordinates(rlat, rlon, + r_radar, + flatten_azimuth, + np.degrees(rel_elv), + slant_range) + + _, _, r_cell, _ = geocentric2geodetic(cell_lat, cell_lon) cell_heightx = cell_rho - r_cell - print(r_cell) - print(slant_range) - print(x_height) while_flag = abs(cell_heightx - x_height) > 0.5 return cell_lat, cell_lon @@ -261,7 +268,7 @@ def cell_geocentric_coordinates(lat: int, lon: int, rho: int, azimuth: int, # [km*rad] local_x = -r * cos_elv * cos_azimuth - local_y = r * sin_elv * sin_azimuth + local_y = r * cos_elv * sin_azimuth local_z = r * sin_elv # convert to global Cartesian @@ -291,32 +298,33 @@ def cell_geocentric_coordinates(lat: int, lon: int, rho: int, azimuth: int, # goecnvrt #TODO clean up function -def geocentric2flattening(lat, lon, delta, azimuth, elv): +def geocentric2flattening(delta, azimuth, elv): """ Adjust azimuth and elevation for the oblateness of the Earth """ elv_r = np.radians(elv) azimuth_r = np.radians(azimuth) delta_r = np.radians(delta) + cos_xelv = np.cos(elv_r) sin_xelv = np.sin(elv_r) + cos_xal = np.cos(azimuth_r) sin_xal = np.sin(azimuth_r) + cos_delta = np.cos(delta_r) + sin_delta = np.sin(delta_r) + kxg = cos_xelv * sin_xal kyg = cos_xelv * cos_xal kzg = sin_xelv - _, _, _, delta = geodetic2geocentric(lat, lon) - - cos_delta = np.cos(delta_r) - sin_delta = np.sin(delta_r) - kxr = kxg kyr = kyg * cos_delta + kzg * sin_delta kzr = -kyg * sin_delta + kzg * cos_delta azimuth_flattening = np.arctan2(kxr, kyr) + elv_flattening = np.arctan(kzr / np.sqrt(kxr**2 + kyr**2)) return np.degrees(azimuth_flattening), np.degrees(elv_flattening) @@ -342,7 +350,7 @@ def geodetic2geocentric(lat: int, lon: int): if glon > 180: glon = glon - 360 # grho is km? - grho = EARTH_RADIUS / np.sqrt(1+e2*np.sin(glat_r)**2) + grho = EARTH_RADIUS / np.sqrt(1 + e2 * np.sin(glat_r)**2) glat = np.degrees(glat_r) delta = lat - glat return glat, glon, grho, delta From 7f973803a29bfe8a928ac8274ffb6dd82bdeca84 Mon Sep 17 00:00:00 2001 From: mts299 Date: Tue, 20 Apr 2021 13:58:31 -0600 Subject: [PATCH 004/109] added comments and doc strings --- pydarn/utils/radar_pos.py | 341 +++++++++++++++++++++++++++++--------- 1 file changed, 261 insertions(+), 80 deletions(-) diff --git a/pydarn/utils/radar_pos.py b/pydarn/utils/radar_pos.py index b9937b89f..274f2f2da 100644 --- a/pydarn/utils/radar_pos.py +++ b/pydarn/utils/radar_pos.py @@ -1,5 +1,36 @@ # Copyright (C) 2020 SuperDARN Canada, University of Saskatchewan # Author(s): Daniel Billett, Marina Schmidt +# +# Copyright (C) 2012 Johns Hopkins University/Applied Physics Laboratory +# Author: K.Baker, R.J.Barnes & D. Andre +# +# The following methods: +# - geographic_cell_positions +# - geocentric_coordinates +# - cell_geocentric_coordinates +# - geocentric2flattening +# - geodetic2geocentric +# - geocentric2geodetic +# was copied from +# https://github.com/SuperDARN/rst/superdarn/src.lib/tk/rpos.1.7/src/cnvtcoord.c +# and converted to python for usage in pyDARN +# +# Modifications: +# 2020-04-20 Marina Schmidt converted the above link to python and changed +# variable and function names to readability +# +# Disclaimer: +# pyDARN is under the LGPL v3 license found in the root directory LICENSE.md +# Everyone is permitted to copy and distribute verbatim copies of this license +# document, but changing it is not allowed. +# +# This version of the GNU Lesser General Public License incorporates the terms +# and conditions of version 3 of the GNU General Public License, +# supplemented by the additional permissions listed below. +# +# + + """ This module is used for handling coordinates of a specified radar in AACGMv2 or geographic coordinates @@ -11,7 +42,7 @@ import aacgmv2 -from pydarn import SuperDARNRadars, gate2slant +from pydarn import SuperDARNRadars from pydarn.utils.const import EARTH_RADIUS @@ -84,32 +115,82 @@ def radar_fov(stid: int, coords: str = 'aacgm', date: datetime = None): # RPosGeo line 335 -def geographic_cell_positions(stid: int, beam: int, range_gate: int, rsep: int = 45, - frang: int = 180, nrang: int = 75, +def geographic_cell_positions(stid: int, beam: int, range_gate: int, + rsep: int = 45, frang: int = 180, height: int = None, elv_angle: int = 0, center: bool = True, chisham: bool = False): + """ + determines the geographic cell position for a given range gate and beam - # centre of the field of view units? + parameters + ---------- + stid: int + station id of the radar to use + beam: int + beam number (indexing at 0) + range_gate: int + range gate number (indexing at 0) + rsep: int + range seperation, determined by the mode the + radar is using, in [km] + default: 45 - normalscan mode + frang: int + frequency range from the radar to the front edge of the range gate + Please note: this definition may be changed, currently defined in + RST code to keep consistency + height: int + transmutation height [km] + default: none + if none then it uses elevation angle + elv_angle: int + elevation angle in [deg] + default: 0 + center: bool + obtain geographic location of the centre of the range gates + False obtains the front edge of the range gates. + default: True + chisham: bool + use the Gareth Chisham virtual height model + default: False + + returns + ------- + lat: int + latitude of the range gate in geographic coordinates [deg] + lon: int + longitude of the range gate in geographic coordinates [deg] + """ + # centre of the field of view offset = SuperDARNRadars.radars[stid].hardware_info.beams / 2.0 - 0.5 - boresight = SuperDARNRadars.radars[stid].hardware_info.boresight - radar_lat = SuperDARNRadars.radars[stid].hardware_info.geographic.lat - radar_lon = SuperDARNRadars.radars[stid].hardware_info.geographic.lon - beam_sep = SuperDARNRadars.radars[stid].hardware_info.beam_separation - # TODO: Is this correct? + # Obtain radar information from hardware files all converted to [rad] + # radians are needed for numpy geometry calculations and to reduce + # too much converting back and forth. + boresight = np.radians(SuperDARNRadars. + radars[stid].hardware_info.boresight) + radar_lat = np.radians(SuperDARNRadars. + radars[stid].hardware_info.geographic.lat) + radar_lon = np.radians(SuperDARNRadars. + radars[stid].hardware_info.geographic.lon) + beam_sep = np.radians(SuperDARNRadars. + radars[stid].hardware_info.beam_separation) + + # TODO: fix after slant range change if center is True: + # beam edge in [rad] beam_edge = -beam_sep * 0.5 + # range_edge in [km] range_edge = -0.5 * rsep * 20/3 else: beam_edge = 0 range_edge = 0 + # psi in [rad] psi = beam_sep * (beam - offset) + beam_edge # Calculate the slant range [km] - # TODO: not sure about this +1 on the range gate? slant_range = rst_slant_range(frang, rsep, range_edge, range_gate) - if height is None and elv_angle < 90: + if height is None: height = -EARTH_RADIUS + np.sqrt(EARTH_RADIUS**2 + 2 * slant_range * EARTH_RADIUS * np.sin(np.radians(elv_angle)) + @@ -117,28 +198,66 @@ def geographic_cell_positions(stid: int, beam: int, range_gate: int, rsep: int = lat, lon = geocentric_coordinates(radar_lat, radar_lon, slant_range, height, psi, boresight, chisham) - return lat, lon + # convert back degrees as preferred units to use? + return np.degrees(lat), np.degrees(lon) + + +# TODO: remove once we fix ours def rst_slant_range(frang, rsep, range_edge, range_gate, rxrise=100): lagfr = frang * 20/3 smsep = rsep * 20/3 return (lagfr - rxrise + (range_gate) * smsep + range_edge) * 0.15 + # fldpnth line 90 def geocentric_coordinates(radar_lat, radar_lon, slant_range: int, cell_height: int, psi: int, boresight: int, chisham: bool = False): """ - Parameters: - slant_range: int - slant range distance (km) + Calculates the geocentric coordinates of gate cell point, + using either the standard or Chisham virtual height model. + + Parameters + ---------- + radar_lat : int + radars site latitude [rad] + radar_lon : int + radars site longitude [lon] + slant_range: int + slant range distance [km] + cell_height : int + virtual height of the gate cell [km] + psi: int + [rad] + boresight: int + boresight of the radar beam [rad] + chisham: bool + use the virtual height chisham model + default: False + + Returns + ------- + cell_lat: int + latitude of the range gate in geographic coordinates [rad] + cell_lon: int + longitude of the range gate in geographic coordinates [rad] + + """ + # Gareth Chisham Virtual height model: + """ + Mapping ionospheric backscatter measured by the SuperDARN HF + radars – Part 1: A new empirical virtual height model by + G. Chisham 2008 """ if chisham: + # Model constants A_const = (108.974, 384.416, 1098.28) B_const = (0.0191271, -0.178640, -0.354557) C_const = (6.68283e-5, 1.81405e-4, 9.39961e-5) + # determine which region of ionosphere the gate if slant_range < 115: x_height = (slant_range / 115.0) * 112.0 elif slant_range < 787.5: @@ -182,31 +301,27 @@ def geocentric_coordinates(radar_lat, radar_lon, slant_range: int, rlat, rlon, r_radar, delta = geodetic2geocentric(radar_lat, radar_lon) r_cell = r_radar - # TODO: turn into a helper do-while loop while_flag = True - #for i in range(0,10): while while_flag: # distance between the gate cell to the earth's centre [km] cell_rho = r_cell + x_height - # elevation angle relative to local horizon [radians] + # elevation angle relative to local horizon [rad] rel_elv = np.arcsin(((cell_rho**2) - (r_radar**2) - slant_range**2) / (2.0 * r_radar * slant_range)) - # TODO: what is 2137.5 km represent? if chisham and slant_range > 2137.5: gamma = np.arccos((r_radar**2 + cell_rho**2 - slant_range**2) / (2.0 * r_radar * cell_rho)) beta = np.arcsin(r_radar * np.sin(gamma/3.0) / (slant_range/3.0)) # Elevation angle used for estimating off-array normal - # azimuth [radians] + # azimuth [rad] xelv = (np.pi/2) - beta - (gamma/3.0) else: xelv = rel_elv # Estimate the off-array-normal azimuth in radians - psi_r = np.radians(psi) - psi_cos_2 = np.cos(psi_r)**2 - psi_sin_2 = np.sin(psi_r)**2 + psi_cos_2 = np.cos(psi)**2 + psi_sin_2 = np.sin(psi)**2 elv_sin_2 = np.sin(xelv)**2 est_azimuth = psi_cos_2 - elv_sin_2 @@ -222,17 +337,18 @@ def geocentric_coordinates(radar_lat, radar_lon, slant_range: int, else: azimuth = -np.arctan(tan_azimuth) - # azimuth of the gate cell [deg] - cell_azimuth = np.degrees(azimuth) + boresight - flatten_azimuth, _ = geocentric2flattening(delta, cell_azimuth, np.degrees(xelv)) - cell_rho , cell_lat, cell_lon = cell_geocentric_coordinates(rlat, rlon, - r_radar, - flatten_azimuth, - np.degrees(rel_elv), - slant_range) + # azimuth of the gate cell [rad] + cell_azimuth = azimuth + boresight + flatten_azimuth = geocentric2flattening(delta, cell_azimuth, xelv) + cell_rho, cell_lat, cell_lon = \ + cell_geocentric_coordinates(rlat, rlon, r_radar, + flatten_azimuth, rel_elv, + slant_range) + # recalculate the radius under the gate cell and centre of earth _, _, r_cell, _ = geocentric2geodetic(cell_lat, cell_lon) cell_heightx = cell_rho - r_cell + # this ensures convergence on the cell point while_flag = abs(cell_heightx - x_height) > 0.5 return cell_lat, cell_lon @@ -241,30 +357,53 @@ def geocentric_coordinates(radar_lat, radar_lon, slant_range: int, # fldpnt def cell_geocentric_coordinates(lat: int, lon: int, rho: int, azimuth: int, elv: int, r: int): + """ + Calculates the geocentric coordinates of a gate cell point given the + angular geocentric coordinates of the point of origin, + the azimuth, elevation, and slant range. - lat_r = np.radians(lat) - lon_r = np.radians(lon) - azimuth_r = np.radians(azimuth) - elv_r = np.radians(elv) + parameters + ---------- + lat: int + geocentric latitude [rad] of the radar site + lon : int + geocentric longitude [rad] of the radar site + rho: int + radius from the radar site to the centre of the earth [km] + azimuth: int + azimuth with corrected earth flattening in [rad] for the cell + elv: int + relative elevation angle [rad] + r: int + slant range of the cell [km] + + returns + ------- + rho: int + radius from cell point to centre of the earth [km] + lat: int + geocentric cell latitude [rad] + lon: int + geocentric cell longitude [rad] + """ + cos_lat = np.cos(np.pi/2 - lat) + sin_lat = np.sin(np.pi/2 - lat) - sin_theta = np.sin(np.pi/2 - lat_r) + cos_lon = np.cos(lon) + sin_lon = np.sin(lon) - cos_lat = np.cos(np.pi/2 - lat_r) - sin_lat = np.sin(np.pi/2 - lat_r) + cos_azimuth = np.cos(azimuth) + sin_azimuth = np.sin(azimuth) - cos_lon = np.cos(lon_r) - sin_lon = np.sin(lon_r) + sin_elv = np.sin(elv) + cos_elv = np.cos(elv) # earth centered spherical coordinates [km*rad] - rx = rho * sin_theta * np.cos(lon_r) - ry = rho * sin_theta * np.sin(lon_r) + rx = rho * sin_lat * cos_lon + ry = rho * sin_lat * sin_lon rz = rho * cos_lat # earth local Cartesian (x-south, y-east, z-up) - cos_azimuth = np.cos(azimuth_r) - cos_elv = np.cos(elv_r) - sin_azimuth = np.sin(azimuth_r) - sin_elv = np.sin(elv_r) # [km*rad] local_x = -r * cos_elv * cos_azimuth @@ -293,46 +432,71 @@ def cell_geocentric_coordinates(lat: int, lon: int, rho: int, azimuth: int, else: lon = np.arctan2(global_y, global_x) - return rho, np.degrees(lat), np.degrees(lon) + return rho, lat, lon # goecnvrt -#TODO clean up function -def geocentric2flattening(delta, azimuth, elv): +def geocentric2flattening(delta: int, azimuth: int, elv: int): """ - Adjust azimuth and elevation for the oblateness of the Earth - """ - elv_r = np.radians(elv) - azimuth_r = np.radians(azimuth) - delta_r = np.radians(delta) + Adjust azimuth for the oblateness of the Earth + + Parameters + ---------- + delta: int + distance before geodetic and geocentric latitude [rad] + azimuth: int + azimuth of geocentric cell point [rad] + elv: int + elevation angle [rad] + + Returns + ------- + azimuth_flattening: int + adjusted azimuth due the earths oblateness - cos_xelv = np.cos(elv_r) - sin_xelv = np.sin(elv_r) + """ + cos_elv = np.cos(elv) + sin_elv = np.sin(elv) - cos_xal = np.cos(azimuth_r) - sin_xal = np.sin(azimuth_r) + cos_azimuth = np.cos(azimuth) + sin_azimuth = np.sin(azimuth) - cos_delta = np.cos(delta_r) - sin_delta = np.sin(delta_r) + cos_delta = np.cos(delta) + sin_delta = np.sin(delta) - kxg = cos_xelv * sin_xal - kyg = cos_xelv * cos_xal - kzg = sin_xelv + kxg = cos_elv * sin_azimuth + kyg = cos_elv * cos_azimuth + kzg = sin_elv kxr = kxg kyr = kyg * cos_delta + kzg * sin_delta - kzr = -kyg * sin_delta + kzg * cos_delta azimuth_flattening = np.arctan2(kxr, kyr) - elv_flattening = np.arctan(kzr / np.sqrt(kxr**2 + kyr**2)) - - return np.degrees(azimuth_flattening), np.degrees(elv_flattening) + return azimuth_flattening # geodtgc, iopt > 0 def geodetic2geocentric(lat: int, lon: int): """ + convert geodetic coordinates to geocentric + + parameters + ---------- + lat: int + geodetic latitude [rad] + lon: int + geodetic longitude [rad] + returns + ------- + glat: int + geocentric latitude [rad] + glon: int + geocentric longitude [rad] + rho: int + distance from the latitude to the centre of the earth [km] + delta: int + difference between geodetic and geocentric latitude [rad] """ # WGS 84 oblate spheroid defining parameters # reciprocal flattening @@ -341,33 +505,50 @@ def geodetic2geocentric(lat: int, lon: int): b = EARTH_RADIUS * (1.0 - f) # e2 is the ellipticity e2 = EARTH_RADIUS**2 / b**2 - 1 - lat_r = np.radians(lat) - glat_r = np.arctan(b**2 / EARTH_RADIUS**2 * np.tan(lat_r)) - # glon is in degress + glat = np.arctan(b**2 / EARTH_RADIUS**2 * np.tan(lat)) + # glon [rad] glon = lon - if glon > 180: - glon = glon - 360 + if glon > np.pi: + glon = glon - 2 * np.pi # grho is km? - grho = EARTH_RADIUS / np.sqrt(1 + e2 * np.sin(glat_r)**2) - glat = np.degrees(glat_r) + rho = EARTH_RADIUS / np.sqrt(1 + e2 * np.sin(glat)**2) + # delta in [rad] delta = lat - glat - return glat, glon, grho, delta + return glat, glon, rho, delta # geodtgc, iopt < 0 def geocentric2geodetic(lat: int, lon: int): + """ + convert geocentric coordinates to geodetic + + parameters + ---------- + lat: int + geocentric latitude [rad] + lon: int + geocentric longitude [rad] + returns + ------- + dlat: int + geodetic latitude [rad] + dlon: int + geodetic longitude [rad] + rho: int + distance from the latitude to the centre of the earth [km] + delta: int + difference between geocentric and geodetic latitude [rad] + """ # WGS 84 oblate spheroid defining parameters f = 1.0 / 298.257223563 b = EARTH_RADIUS * (1.0 - f) - lat_r = np.radians(lat) e2 = EARTH_RADIUS**2 / b**2 - 1 - r_radar = EARTH_RADIUS / np.sqrt(1+e2*np.sin(lat_r)**2) - dlat_r = np.arctan(EARTH_RADIUS**2/b**2 * np.tan(lat_r)) + rho = EARTH_RADIUS / np.sqrt(1+e2*np.sin(lat)**2) + dlat = np.arctan(EARTH_RADIUS**2/b**2 * np.tan(lat)) dlon = lon - dlat = np.degrees(dlat_r) delta = dlat - lat - return dlat, dlon, r_radar, delta + return dlat, dlon, rho, delta From 7ccdd2c645a99ee63d95f494cf9c843ebcaf6c70 Mon Sep 17 00:00:00 2001 From: mts299 Date: Tue, 20 Apr 2021 14:15:38 -0600 Subject: [PATCH 005/109] updated disclaimer on const file --- pydarn/utils/const.py | 13 +++++++++++++ 1 file changed, 13 insertions(+) diff --git a/pydarn/utils/const.py b/pydarn/utils/const.py index 8db5b7848..b4117cc0f 100644 --- a/pydarn/utils/const.py +++ b/pydarn/utils/const.py @@ -1,5 +1,18 @@ # (C) Copyright SuperDARN Canada, University of Saskatchewan # Author: Marina Schmidt +# +# Disclaimer: +# pyDARN is under the LGPL v3 license found in the root directory LICENSE.md +# Everyone is permitted to copy and distribute verbatim copies of this license +# document, but changing it is not allowed. +# +# This version of the GNU Lesser General Public License incorporates the terms +# and conditions of version 3 of the GNU General Public License, +# supplemented by the additional permissions listed below. +# +# Modifications: +# +#TODO: what should this be? Should we have both as one is equatorial? EARTH_RADIUS = 6378.137 From 08ccef7b73b8b2bfedcd108aee6ea6b4d47bb5b9 Mon Sep 17 00:00:00 2001 From: mts299 Date: Mon, 26 Apr 2021 14:39:00 -0600 Subject: [PATCH 006/109] removed rst slant range method and added in pyDARNs --- pydarn/utils/conversions.py | 35 ++++++++++++++++++++++++++--------- pydarn/utils/radar_pos.py | 13 +++---------- 2 files changed, 29 insertions(+), 19 deletions(-) diff --git a/pydarn/utils/conversions.py b/pydarn/utils/conversions.py index bc24bd891..6dfb475c8 100644 --- a/pydarn/utils/conversions.py +++ b/pydarn/utils/conversions.py @@ -82,16 +82,28 @@ def dmap2dict(dmap_records: List[dict]) -> List[dict]: return dmap_list -def gate2slant(frang, rsep, rxrise, nrang, center=True): +def gate2slant(frang:int, rsep:int, rxrise:int, gate: int = 0, + nrang: int = None, center: bool = True): """ Calculate the slant range (km) for each range gate for SuperDARN data Parameters ---------- - record: dict - dictionary of superdarn data records + frang: int + range from the edge of first the gate to the radar [km] + This should be given in fitacf record of the control program + rsep: int + Radar seperation of the gates. Determined by control program. + rxrise: int + Use hardware value for this, avoid data file values + gate: int + range gate to determine the slant range [km], if nrang + is None + default: 0 nrang: int - max number of range gates in the list of records + max number of range gates in the list of records. If + not None, will calculate all slant ranges + default: None center: boolean Calculate the slant range in the center of range gate or edge @@ -120,9 +132,14 @@ def gate2slant(frang, rsep, rxrise, nrang, center=True): range_offset = 0.0 # Now calculate slant range in km - slant_ranges = np.zeros(nrang+1) - for gate in range(nrang+1): - slant_ranges[gate] = (lag_first - rxrise + - gate * sample_sep) * speed_of_light /\ - distance_factor + range_offset + if nrang is None: + slant_ranges = (lag_first - rxrise + + gate * sample_sep) * speed_of_light /\ + distance_factor + range_offset + else: + slant_ranges = np.zeros(nrang+1) + for gate in range(nrang+1): + slant_ranges[gate] = (lag_first - rxrise + + gate * sample_sep) * speed_of_light /\ + distance_factor + range_offset return slant_ranges diff --git a/pydarn/utils/radar_pos.py b/pydarn/utils/radar_pos.py index 274f2f2da..f6fdbee37 100644 --- a/pydarn/utils/radar_pos.py +++ b/pydarn/utils/radar_pos.py @@ -42,7 +42,7 @@ import aacgmv2 -from pydarn import SuperDARNRadars +from pydarn import SuperDARNRadars, gate2slant from pydarn.utils.const import EARTH_RADIUS @@ -174,6 +174,7 @@ def geographic_cell_positions(stid: int, beam: int, range_gate: int, radars[stid].hardware_info.geographic.lon) beam_sep = np.radians(SuperDARNRadars. radars[stid].hardware_info.beam_separation) + rxrise = SuperDARNRadars.radars[stid].hardware_info.rx_rise_time # TODO: fix after slant range change if center is True: @@ -188,7 +189,7 @@ def geographic_cell_positions(stid: int, beam: int, range_gate: int, # psi in [rad] psi = beam_sep * (beam - offset) + beam_edge # Calculate the slant range [km] - slant_range = rst_slant_range(frang, rsep, range_edge, range_gate) + slant_range = gate2slant(frang, rsep, rxrise, gate=range_gate) if height is None: height = -EARTH_RADIUS + np.sqrt(EARTH_RADIUS**2 + 2 * slant_range * @@ -203,14 +204,6 @@ def geographic_cell_positions(stid: int, beam: int, range_gate: int, return np.degrees(lat), np.degrees(lon) -# TODO: remove once we fix ours -def rst_slant_range(frang, rsep, range_edge, range_gate, rxrise=100): - lagfr = frang * 20/3 - smsep = rsep * 20/3 - - return (lagfr - rxrise + (range_gate) * smsep + range_edge) * 0.15 - - # fldpnth line 90 def geocentric_coordinates(radar_lat, radar_lon, slant_range: int, cell_height: int, psi: int, boresight: int, From ba0bcbaa4707fd763efb3b5b2fa9f1e8d1b80389 Mon Sep 17 00:00:00 2001 From: mts299 Date: Thu, 29 Apr 2021 14:50:52 -0600 Subject: [PATCH 007/109] minor changes --- pydarn/utils/radar_pos.py | 36 ++++++++++++++++++++++-------------- 1 file changed, 22 insertions(+), 14 deletions(-) diff --git a/pydarn/utils/radar_pos.py b/pydarn/utils/radar_pos.py index f6fdbee37..8841a2047 100644 --- a/pydarn/utils/radar_pos.py +++ b/pydarn/utils/radar_pos.py @@ -45,8 +45,9 @@ from pydarn import SuperDARNRadars, gate2slant from pydarn.utils.const import EARTH_RADIUS - -def radar_fov(stid: int, coords: str = 'aacgm', date: datetime = None): +# TODO: add enum for coords +def radar_fov(stid: int, nrang: bool = None, read_file: bool = False, + coords: str = 'aacgm', date: datetime = None): """ Returning beam/gate coordinates of a specified radar's field-of-view @@ -72,18 +73,25 @@ def radar_fov(stid: int, coords: str = 'aacgm', date: datetime = None): for range gate corners """ # Locate base PyDARN directory - my_path = os.path.abspath(os.path.dirname(__file__)) - base_path = os.path.join(my_path, '..') - - # Find files holding radar beam/gate locations - beam_lats = base_path+'/radar_fov_files/' + \ - str(stid).zfill(3)+'_lats.txt' - beam_lons = base_path+'/radar_fov_files/' + \ - str(stid).zfill(3)+'_lons.txt' - - # Read in geographic coordinates - beam_corners_lats = np.loadtxt(beam_lats) - beam_corners_lons = np.loadtxt(beam_lons) + if read_file: + my_path = os.path.abspath(os.path.dirname(__file__)) + base_path = os.path.join(my_path, '..') + + # Find files holding radar beam/gate locations + beam_lats = base_path+'/radar_fov_files/' + \ + str(stid).zfill(3)+'_lats.txt' + beam_lons = base_path+'/radar_fov_files/' + \ + str(stid).zfill(3)+'_lons.txt' + + # Read in geographic coordinates + beam_corners_lats = np.loadtxt(beam_lats) + beam_corners_lons = np.loadtxt(beam_lons) + else: + beam_corners_lats = [] + beam_corners_lon = [] + if nrang is None: + + for gate in range() # AACGMv2 conversion if coords == 'aacgm': From 880a639f35d1c6fd128a3dcb92c977286297a2d0 Mon Sep 17 00:00:00 2001 From: mts299 Date: Fri, 30 Apr 2021 13:51:14 -0600 Subject: [PATCH 008/109] fixed mkdocs syntax error --- mkdocs.yml | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/mkdocs.yml b/mkdocs.yml index 046a345a9..3fc37a8d2 100644 --- a/mkdocs.yml +++ b/mkdocs.yml @@ -24,11 +24,11 @@ nav: - pyDARN Team: dev/team.md - Communication: dev/communication.md - Copyright and Licensing: dev/copyright_license.md - - Workflow: - - Projects: dev/projects.md - - Issues: dev/issues.md - - Branches: dev/branching.md - - Pull Requests: dev/PR.md - - Testing: dev/testing.md - - Code Reviews: dev/code_review.md + - Workflow: + - Projects: dev/projects.md + - Issues: dev/issues.md + - Branches: dev/branching.md + - Pull Requests: dev/PR.md + - Testing: dev/testing.md + - Code Reviews: dev/code_review.md - Release Guidelines: dev/releases.md From 8383f186a2f5b2aef1f2e7c73729e6c970e2f538 Mon Sep 17 00:00:00 2001 From: mts299 Date: Fri, 30 Apr 2021 14:49:04 -0600 Subject: [PATCH 009/109] got fov plotting working --- pydarn/plotting/fan.py | 32 +++++++++++++++++++++++--------- pydarn/utils/conversions.py | 7 +------ pydarn/utils/radar_pos.py | 23 +++++++++++++++-------- 3 files changed, 39 insertions(+), 23 deletions(-) diff --git a/pydarn/plotting/fan.py b/pydarn/plotting/fan.py index 98c45ae9b..1139b3aa6 100644 --- a/pydarn/plotting/fan.py +++ b/pydarn/plotting/fan.py @@ -27,7 +27,8 @@ # Third party libraries import aacgmv2 -from pydarn import PyDARNColormaps, build_scan, radar_fov, citing_warning +from pydarn import (PyDARNColormaps, build_scan, radar_fov, citing_warning, + SuperDARNRadars) class Fan(): @@ -47,13 +48,13 @@ def __str__(self): @classmethod def plot_fan(cls, dmap_data: List[dict], ax=None, scan_index: int = 1, - ranges: List = [0, 75], boundary: bool = True, + ranges: List = None, boundary: bool = True, alpha: int = 0.5, parameter: str = 'v', lowlat: int = 30, cmap: str = None, groundscatter: bool = False, zmin: int = None, zmax: int = None, colorbar: bool = True, - colorbar_label: str = ''): + colorbar_label: str = '', fov_files: bool = False): """ Plots a radar's Field Of View (FOV) fan plot for the given data and scan number @@ -141,10 +142,13 @@ def plot_fan(cls, dmap_data: List[dict], ax=None, scan_index: int = 1, dmap_data[plot_beams[0][0]]['time.mt'], dmap_data[plot_beams[0][0]]['time.sc']) # Plot FOV outline + if ranges is None: + ranges = [0, dmap_data[0]['nrang']] + print(ranges) beam_corners_aacgm_lats, beam_corners_aacgm_lons, thetas, rs, ax = \ cls.plot_fov(stid=dmap_data[0]['stid'], dtime=dtime, lowlat=lowlat, ranges=ranges, boundary=boundary, - alpha=alpha) + alpha=alpha, read_files=fov_files) fan_shape = beam_corners_aacgm_lons.shape # Get range-gate data and groundscatter array for given scan @@ -225,10 +229,10 @@ def plot_fan(cls, dmap_data: List[dict], ax=None, scan_index: int = 1, return beam_corners_aacgm_lats, beam_corners_aacgm_lons, scan, grndsct @classmethod - def plot_fov(cls, stid: str, dtime: dt.datetime, ax=None, - lowlat: int = 30, ranges: List = [0, 75], + def plot_fov(cls, stid: str, dtime: dt.datetime, data = None, ax=None, + lowlat: int = 30, ranges: tuple = None, boundary: bool = True, fov_color: str = None, - alpha: int = 0.5): + alpha: int = 0.5, fov_files: bool = False): """ plots only the field of view (FOV) for a given radar station ID (stid) @@ -268,9 +272,19 @@ def plot_fov(cls, stid: str, dtime: dt.datetime, ax=None, thetas - theta polar coordinates rs - radius polar coordinates """ + if ranges is None: + ranges = [0, SuperDARNRadars.radars[stid].range_gate_45] + # Get radar beam/gate locations - beam_corners_aacgm_lats, beam_corners_aacgm_lons = \ - radar_fov(stid, coords='aacgm', date=dtime) + if data is None: + beam_corners_aacgm_lats, beam_corners_aacgm_lons = \ + radar_fov(stid, coords='aacgm', ranges=ranges, date=dtime) + else: + beam_corners_aacgm_lats, beam_corners_aacgm_lons = \ + radar_fov(stid, rsep=data[0]['rsep'], frang=data[0]['frang'], + ranges=ranges, coords='aacgm', date=dtime, + read_files=fov_files) + fan_shape = beam_corners_aacgm_lons.shape # Work out shift due in MLT diff --git a/pydarn/utils/conversions.py b/pydarn/utils/conversions.py index 2ed8c58ea..980789778 100644 --- a/pydarn/utils/conversions.py +++ b/pydarn/utils/conversions.py @@ -84,13 +84,8 @@ def dmap2dict(dmap_records: List[dict]) -> List[dict]: return dmap_list -<<<<<<< HEAD def gate2slant(frang:int, rsep:int, rxrise:int, gate: int = 0, nrang: int = None, center: bool = True): -======= - -def gate2slant(record, nrang, rxrise=0, center=False): ->>>>>>> develop """ Calculate the slant range (km) for each range gate for SuperDARN data @@ -127,7 +122,7 @@ def gate2slant(record, nrang, rxrise=0, center=False): distance_factor = 2.0 # C - speed of light m/s to km/us speed_of_light = C * 0.001 * 1e-6 - lag_first = record['frang'] * distance_factor / speed_of_light + lag_first = frang * distance_factor / speed_of_light # sample separation in microseconds sample_sep = rsep * distance_factor / speed_of_light diff --git a/pydarn/utils/radar_pos.py b/pydarn/utils/radar_pos.py index 8841a2047..287432773 100644 --- a/pydarn/utils/radar_pos.py +++ b/pydarn/utils/radar_pos.py @@ -45,9 +45,11 @@ from pydarn import SuperDARNRadars, gate2slant from pydarn.utils.const import EARTH_RADIUS + # TODO: add enum for coords -def radar_fov(stid: int, nrang: bool = None, read_file: bool = False, - coords: str = 'aacgm', date: datetime = None): +def radar_fov(stid: int, rsep: int = 45, frang: int = 180, ranges: tuple = None, + read_file: bool = False, coords: str = 'aacgm', + date: datetime = None): """ Returning beam/gate coordinates of a specified radar's field-of-view @@ -87,11 +89,18 @@ def radar_fov(stid: int, nrang: bool = None, read_file: bool = False, beam_corners_lats = np.loadtxt(beam_lats) beam_corners_lons = np.loadtxt(beam_lons) else: - beam_corners_lats = [] - beam_corners_lon = [] - if nrang is None: + if ranges is None: + ranges = [0, SuperDARNRadars.radars[stid].range_gate_45] + + max_beams = SuperDARNRadars.radars[stid].hardware_info.beams + beam_corners_lats = np.zeros((ranges[1], max_beams)) + beam_corners_lons = np.zeros((ranges[1], max_beams)) - for gate in range() + for beam in range(0, max_beams): + for gate in range(ranges[0], ranges[1]): + beam_corners_lats[gate, beam], beam_corners_lons[gate, beam] =\ + geographic_cell_positions(stid, beam, gate, rsep, + frang, height=300) # AACGMv2 conversion if coords == 'aacgm': @@ -189,10 +198,8 @@ def geographic_cell_positions(stid: int, beam: int, range_gate: int, # beam edge in [rad] beam_edge = -beam_sep * 0.5 # range_edge in [km] - range_edge = -0.5 * rsep * 20/3 else: beam_edge = 0 - range_edge = 0 # psi in [rad] psi = beam_sep * (beam - offset) + beam_edge From dd12bf6b1f328b3567d834b07231bad4b2267f21 Mon Sep 17 00:00:00 2001 From: mts299 Date: Fri, 30 Apr 2021 15:23:36 -0600 Subject: [PATCH 010/109] fixed a coupe plot_fov errors --- pydarn/plotting/fan.py | 29 +++++++++++++++++------------ pydarn/utils/radar_pos.py | 17 ++++++++++------- 2 files changed, 27 insertions(+), 19 deletions(-) diff --git a/pydarn/plotting/fan.py b/pydarn/plotting/fan.py index 1139b3aa6..ff6dfbcd7 100644 --- a/pydarn/plotting/fan.py +++ b/pydarn/plotting/fan.py @@ -146,9 +146,11 @@ def plot_fan(cls, dmap_data: List[dict], ax=None, scan_index: int = 1, ranges = [0, dmap_data[0]['nrang']] print(ranges) beam_corners_aacgm_lats, beam_corners_aacgm_lons, thetas, rs, ax = \ - cls.plot_fov(stid=dmap_data[0]['stid'], dtime=dtime, lowlat=lowlat, + cls.plot_fov(stid=dmap_data[0]['stid'], max_beams=plot_beams, + data=dmap_data, + dtime=dtime, lowlat=lowlat, ranges=ranges, boundary=boundary, - alpha=alpha, read_files=fov_files) + alpha=alpha, fov_files=fov_files) fan_shape = beam_corners_aacgm_lons.shape # Get range-gate data and groundscatter array for given scan @@ -229,10 +231,11 @@ def plot_fan(cls, dmap_data: List[dict], ax=None, scan_index: int = 1, return beam_corners_aacgm_lats, beam_corners_aacgm_lons, scan, grndsct @classmethod - def plot_fov(cls, stid: str, dtime: dt.datetime, data = None, ax=None, - lowlat: int = 30, ranges: tuple = None, + def plot_fov(cls, stid: str, dtime: dt.datetime, data: List[dict] = None, + ax=None, lowlat: int = 30, ranges: tuple = None, boundary: bool = True, fov_color: str = None, - alpha: int = 0.5, fov_files: bool = False): + alpha: int = 0.5, fov_files: bool = False, + max_beams: int = None, line_color: str = 'b'): """ plots only the field of view (FOV) for a given radar station ID (stid) @@ -278,12 +281,13 @@ def plot_fov(cls, stid: str, dtime: dt.datetime, data = None, ax=None, # Get radar beam/gate locations if data is None: beam_corners_aacgm_lats, beam_corners_aacgm_lons = \ - radar_fov(stid, coords='aacgm', ranges=ranges, date=dtime) + radar_fov(stid, coords='aacgm', ranges=ranges, date=dtime, + max_beams = max_beams, read_file=fov_files) else: beam_corners_aacgm_lats, beam_corners_aacgm_lons = \ radar_fov(stid, rsep=data[0]['rsep'], frang=data[0]['frang'], ranges=ranges, coords='aacgm', date=dtime, - read_files=fov_files) + max_beams = max_beams, read_file=fov_files) fan_shape = beam_corners_aacgm_lons.shape @@ -316,24 +320,25 @@ def plot_fov(cls, stid: str, dtime: dt.datetime, data = None, ax=None, if boundary: # left boundary line plt.polar(thetas[0:ranges[1], 0], rs[0:ranges[1], 0], - color='black', linewidth=0.5) + color=line_color, linewidth=0.5) # top radar arc plt.polar(thetas[ranges[1] - 1, 0:thetas.shape[1]], rs[ranges[1] - 1, 0:thetas.shape[1]], - color='black', linewidth=0.5) + color=line_color, linewidth=0.5) # right boundary line plt.polar(thetas[0:ranges[1], thetas.shape[1] - 1], rs[0:ranges[1], thetas.shape[1] - 1], - color='black', linewidth=0.5) + color=line_color, linewidth=0.5) # bottom arc plt.polar(thetas[0, 0:thetas.shape[1] - 1], - rs[0, 0:thetas.shape[1] - 1], color='black', + rs[0, 0:thetas.shape[1] - 1], color=line_color, linewidth=0.5) if fov_color is not None: theta = thetas[0:ranges[1], 0] theta = np.append(theta, thetas[ranges[1]-1, 0:thetas.shape[1]-1]) - theta = np.append(theta, np.flip(thetas[0:ranges[1], thetas.shape[1]-2])) + theta = np.append(theta, np.flip(thetas[0:ranges[1], + thetas.shape[1]-2])) theta = np.append(theta, np.flip(thetas[0, 0:thetas.shape[1]-2])) r = rs[0:ranges[1], 0] diff --git a/pydarn/utils/radar_pos.py b/pydarn/utils/radar_pos.py index 287432773..8ccd936f7 100644 --- a/pydarn/utils/radar_pos.py +++ b/pydarn/utils/radar_pos.py @@ -48,7 +48,7 @@ # TODO: add enum for coords def radar_fov(stid: int, rsep: int = 45, frang: int = 180, ranges: tuple = None, - read_file: bool = False, coords: str = 'aacgm', + read_file: bool = False, coords: str = 'aacgm', max_beams: int = None, date: datetime = None): """ Returning beam/gate coordinates of a specified radar's field-of-view @@ -91,12 +91,15 @@ def radar_fov(stid: int, rsep: int = 45, frang: int = 180, ranges: tuple = None, else: if ranges is None: ranges = [0, SuperDARNRadars.radars[stid].range_gate_45] - - max_beams = SuperDARNRadars.radars[stid].hardware_info.beams - beam_corners_lats = np.zeros((ranges[1], max_beams)) - beam_corners_lons = np.zeros((ranges[1], max_beams)) - - for beam in range(0, max_beams): + if max_beams is None: + max_beams = SuperDARNRadars.radars[stid].hardware_info.beams + # Plus 1 is due to the fact fov files index at 1 so in the plotting + # of the boundary there is a subtraction of 1 to offset this as python + # converts to index of 0 which my code already accounts for + beam_corners_lats = np.zeros((ranges[1], max_beams+1)) + beam_corners_lons = np.zeros((ranges[1], max_beams+1)) + + for beam in range(0, max_beams+1): for gate in range(ranges[0], ranges[1]): beam_corners_lats[gate, beam], beam_corners_lons[gate, beam] =\ geographic_cell_positions(stid, beam, gate, rsep, From 403701de5def341e04182ca0b3a980c1bda5b289 Mon Sep 17 00:00:00 2001 From: mts299 Date: Fri, 30 Apr 2021 15:32:01 -0600 Subject: [PATCH 011/109] added rpos code to plot fan --- pydarn/plotting/fan.py | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/pydarn/plotting/fan.py b/pydarn/plotting/fan.py index ff6dfbcd7..2e1b93c1c 100644 --- a/pydarn/plotting/fan.py +++ b/pydarn/plotting/fan.py @@ -144,10 +144,8 @@ def plot_fan(cls, dmap_data: List[dict], ax=None, scan_index: int = 1, # Plot FOV outline if ranges is None: ranges = [0, dmap_data[0]['nrang']] - print(ranges) beam_corners_aacgm_lats, beam_corners_aacgm_lons, thetas, rs, ax = \ - cls.plot_fov(stid=dmap_data[0]['stid'], max_beams=plot_beams, - data=dmap_data, + cls.plot_fov(stid=dmap_data[0]['stid'], data=dmap_data, dtime=dtime, lowlat=lowlat, ranges=ranges, boundary=boundary, alpha=alpha, fov_files=fov_files) From 1d5bbe7b278661801d3128277f203954bdc552c1 Mon Sep 17 00:00:00 2001 From: Marina Schmidt Date: Mon, 3 May 2021 09:28:59 -0600 Subject: [PATCH 012/109] Update pydarn/utils/radar_pos.py Co-authored-by: Devin Huyghebaert --- pydarn/utils/radar_pos.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pydarn/utils/radar_pos.py b/pydarn/utils/radar_pos.py index 8ccd936f7..8f52f9c2d 100644 --- a/pydarn/utils/radar_pos.py +++ b/pydarn/utils/radar_pos.py @@ -260,7 +260,7 @@ def geocentric_coordinates(radar_lat, radar_lon, slant_range: int, """ Mapping ionospheric backscatter measured by the SuperDARN HF radars – Part 1: A new empirical virtual height model by - G. Chisham 2008 + G. Chisham 2008 (https://doi.org/10.5194/angeo-26-823-2008) """ if chisham: # Model constants From d3a373e8760cbbf8865c62c9e22f78b11419c212 Mon Sep 17 00:00:00 2001 From: Marina Schmidt Date: Mon, 3 May 2021 09:30:30 -0600 Subject: [PATCH 013/109] Update pydarn/utils/radar_pos.py Co-authored-by: Devin Huyghebaert --- pydarn/utils/radar_pos.py | 1 + 1 file changed, 1 insertion(+) diff --git a/pydarn/utils/radar_pos.py b/pydarn/utils/radar_pos.py index 8f52f9c2d..c3964f5fd 100644 --- a/pydarn/utils/radar_pos.py +++ b/pydarn/utils/radar_pos.py @@ -319,6 +319,7 @@ def geocentric_coordinates(radar_lat, radar_lon, slant_range: int, # elevation angle relative to local horizon [rad] rel_elv = np.arcsin(((cell_rho**2) - (r_radar**2) - slant_range**2) / (2.0 * r_radar * slant_range)) + # estimate elevation for multi-hop propagation if chisham and slant_range > 2137.5: gamma = np.arccos((r_radar**2 + cell_rho**2 - slant_range**2) / (2.0 * r_radar * cell_rho)) From bcbb5e79886e2de92eb79dcf6089858540aad134 Mon Sep 17 00:00:00 2001 From: mts299 Date: Mon, 3 May 2021 09:39:21 -0600 Subject: [PATCH 014/109] converted all ints to floats for parameters that were supposed to be floats --- pydarn/utils/radar_pos.py | 89 ++++++++++++++++++++------------------- 1 file changed, 45 insertions(+), 44 deletions(-) diff --git a/pydarn/utils/radar_pos.py b/pydarn/utils/radar_pos.py index 8ccd936f7..8715d98ff 100644 --- a/pydarn/utils/radar_pos.py +++ b/pydarn/utils/radar_pos.py @@ -137,7 +137,7 @@ def radar_fov(stid: int, rsep: int = 45, frang: int = 180, ranges: tuple = None, # RPosGeo line 335 def geographic_cell_positions(stid: int, beam: int, range_gate: int, rsep: int = 45, frang: int = 180, - height: int = None, elv_angle: int = 0, + height: float = None, elv_angle: float = 0.0, center: bool = True, chisham: bool = False): """ determines the geographic cell position for a given range gate and beam @@ -158,11 +158,11 @@ def geographic_cell_positions(stid: int, beam: int, range_gate: int, frequency range from the radar to the front edge of the range gate Please note: this definition may be changed, currently defined in RST code to keep consistency - height: int + height: float transmutation height [km] default: none if none then it uses elevation angle - elv_angle: int + elv_angle: float elevation angle in [deg] default: 0 center: bool @@ -175,9 +175,9 @@ def geographic_cell_positions(stid: int, beam: int, range_gate: int, returns ------- - lat: int + lat: float latitude of the range gate in geographic coordinates [deg] - lon: int + lon: float longitude of the range gate in geographic coordinates [deg] """ # centre of the field of view @@ -223,8 +223,9 @@ def geographic_cell_positions(stid: int, beam: int, range_gate: int, # fldpnth line 90 -def geocentric_coordinates(radar_lat, radar_lon, slant_range: int, - cell_height: int, psi: int, boresight: int, +def geocentric_coordinates(radar_lat: float, radar_lon: float, + slant_range: float, cell_height: float, + psi: float, boresight: float, chisham: bool = False): """ Calculates the geocentric coordinates of gate cell point, @@ -232,17 +233,17 @@ def geocentric_coordinates(radar_lat, radar_lon, slant_range: int, Parameters ---------- - radar_lat : int + radar_lat : float radars site latitude [rad] - radar_lon : int + radar_lon : float radars site longitude [lon] - slant_range: int + slant_range: float slant range distance [km] - cell_height : int + cell_height : float virtual height of the gate cell [km] psi: int [rad] - boresight: int + boresight: float boresight of the radar beam [rad] chisham: bool use the virtual height chisham model @@ -250,9 +251,9 @@ def geocentric_coordinates(radar_lat, radar_lon, slant_range: int, Returns ------- - cell_lat: int + cell_lat: float latitude of the range gate in geographic coordinates [rad] - cell_lon: int + cell_lon: float longitude of the range gate in geographic coordinates [rad] """ @@ -366,8 +367,8 @@ def geocentric_coordinates(radar_lat, radar_lon, slant_range: int, # fldpnt -def cell_geocentric_coordinates(lat: int, lon: int, rho: int, azimuth: int, - elv: int, r: int): +def cell_geocentric_coordinates(lat: float, lon: float, rho: float, + azimuth: float, elv: float, r: float): """ Calculates the geocentric coordinates of a gate cell point given the angular geocentric coordinates of the point of origin, @@ -375,26 +376,26 @@ def cell_geocentric_coordinates(lat: int, lon: int, rho: int, azimuth: int, parameters ---------- - lat: int + lat: float geocentric latitude [rad] of the radar site - lon : int + lon : float geocentric longitude [rad] of the radar site - rho: int + rho: float radius from the radar site to the centre of the earth [km] - azimuth: int + azimuth: float azimuth with corrected earth flattening in [rad] for the cell - elv: int + elv: float relative elevation angle [rad] - r: int + r: float slant range of the cell [km] returns ------- - rho: int + rho: float radius from cell point to centre of the earth [km] - lat: int + lat: float geocentric cell latitude [rad] - lon: int + lon: float geocentric cell longitude [rad] """ cos_lat = np.cos(np.pi/2 - lat) @@ -447,22 +448,22 @@ def cell_geocentric_coordinates(lat: int, lon: int, rho: int, azimuth: int, # goecnvrt -def geocentric2flattening(delta: int, azimuth: int, elv: int): +def geocentric2flattening(delta: float, azimuth: float, elv: float): """ Adjust azimuth for the oblateness of the Earth Parameters ---------- - delta: int + delta: float distance before geodetic and geocentric latitude [rad] - azimuth: int + azimuth: float azimuth of geocentric cell point [rad] - elv: int + elv: float elevation angle [rad] Returns ------- - azimuth_flattening: int + azimuth_flattening: float adjusted azimuth due the earths oblateness """ @@ -488,25 +489,25 @@ def geocentric2flattening(delta: int, azimuth: int, elv: int): # geodtgc, iopt > 0 -def geodetic2geocentric(lat: int, lon: int): +def geodetic2geocentric(lat: float, lon: float): """ convert geodetic coordinates to geocentric parameters ---------- - lat: int + lat: float geodetic latitude [rad] - lon: int + lon: float geodetic longitude [rad] returns ------- - glat: int + glat: float geocentric latitude [rad] - glon: int + glon: float geocentric longitude [rad] - rho: int + rho: float distance from the latitude to the centre of the earth [km] - delta: int + delta: float difference between geodetic and geocentric latitude [rad] """ # WGS 84 oblate spheroid defining parameters @@ -531,25 +532,25 @@ def geodetic2geocentric(lat: int, lon: int): # geodtgc, iopt < 0 -def geocentric2geodetic(lat: int, lon: int): +def geocentric2geodetic(lat: float, lon: float): """ convert geocentric coordinates to geodetic parameters ---------- - lat: int + lat: float geocentric latitude [rad] - lon: int + lon: float geocentric longitude [rad] returns ------- - dlat: int + dlat: float geodetic latitude [rad] - dlon: int + dlon: float geodetic longitude [rad] - rho: int + rho: float distance from the latitude to the centre of the earth [km] - delta: int + delta: float difference between geocentric and geodetic latitude [rad] """ # WGS 84 oblate spheroid defining parameters From b8c5edc71a25fdf8d309130940710598a5fcdf51 Mon Sep 17 00:00:00 2001 From: mts299 Date: Mon, 3 May 2021 14:35:52 -0600 Subject: [PATCH 015/109] cleaned up parameters in fan/fov plot --- pydarn/plotting/fan.py | 28 ++++++++++++---------------- 1 file changed, 12 insertions(+), 16 deletions(-) diff --git a/pydarn/plotting/fan.py b/pydarn/plotting/fan.py index 2e1b93c1c..4aefe08f2 100644 --- a/pydarn/plotting/fan.py +++ b/pydarn/plotting/fan.py @@ -145,8 +145,9 @@ def plot_fan(cls, dmap_data: List[dict], ax=None, scan_index: int = 1, if ranges is None: ranges = [0, dmap_data[0]['nrang']] beam_corners_aacgm_lats, beam_corners_aacgm_lons, thetas, rs, ax = \ - cls.plot_fov(stid=dmap_data[0]['stid'], data=dmap_data, - dtime=dtime, lowlat=lowlat, + cls.plot_fov(stid=dmap_data[0]['stid'], dtime=dtime, + rsep=dmap_data[0]['rsep'], + frang=dmap_data[0]['frang'], lowlat=lowlat, ranges=ranges, boundary=boundary, alpha=alpha, fov_files=fov_files) fan_shape = beam_corners_aacgm_lons.shape @@ -229,11 +230,12 @@ def plot_fan(cls, dmap_data: List[dict], ax=None, scan_index: int = 1, return beam_corners_aacgm_lats, beam_corners_aacgm_lons, scan, grndsct @classmethod - def plot_fov(cls, stid: str, dtime: dt.datetime, data: List[dict] = None, - ax=None, lowlat: int = 30, ranges: tuple = None, - boundary: bool = True, fov_color: str = None, - alpha: int = 0.5, fov_files: bool = False, - max_beams: int = None, line_color: str = 'b'): + def plot_fov(cls, stid: str, dtime: dt.datetime, rsep: int = 45, + frang: int = 180, ax=None, lowlat: int = 30, + ranges: tuple = None, boundary: bool = True, + fov_color: str = None, alpha: int = 0.5, + fov_files: bool = False, max_beams: int = None, + line_color: str = 'black'): """ plots only the field of view (FOV) for a given radar station ID (stid) @@ -277,15 +279,9 @@ def plot_fov(cls, stid: str, dtime: dt.datetime, data: List[dict] = None, ranges = [0, SuperDARNRadars.radars[stid].range_gate_45] # Get radar beam/gate locations - if data is None: - beam_corners_aacgm_lats, beam_corners_aacgm_lons = \ - radar_fov(stid, coords='aacgm', ranges=ranges, date=dtime, - max_beams = max_beams, read_file=fov_files) - else: - beam_corners_aacgm_lats, beam_corners_aacgm_lons = \ - radar_fov(stid, rsep=data[0]['rsep'], frang=data[0]['frang'], - ranges=ranges, coords='aacgm', date=dtime, - max_beams = max_beams, read_file=fov_files) + beam_corners_aacgm_lats, beam_corners_aacgm_lons = \ + radar_fov(stid, rsep, frang, coords='aacgm', ranges=ranges, + date=dtime, max_beams=max_beams, read_file=fov_files) fan_shape = beam_corners_aacgm_lons.shape From 3512b5518f7ef015e7a948fe22bce8cc34e3c638 Mon Sep 17 00:00:00 2001 From: mts299 Date: Mon, 3 May 2021 14:47:06 -0600 Subject: [PATCH 016/109] added comments to the fan/fov plot --- pydarn/plotting/fan.py | 24 ++++++++++++++++++++++-- 1 file changed, 22 insertions(+), 2 deletions(-) diff --git a/pydarn/plotting/fan.py b/pydarn/plotting/fan.py index 4aefe08f2..d34171806 100644 --- a/pydarn/plotting/fan.py +++ b/pydarn/plotting/fan.py @@ -80,7 +80,8 @@ def plot_fan(cls, dmap_data: List[dict], ax=None, scan_index: int = 1, Default: 50 ranges: list Set to a two element list of the lower and upper ranges to plot - Default: [0,75] + If None, then nrang from the data is used + Default: None boundary: bool Set to false to not plot the outline of the FOV Default: True @@ -108,6 +109,11 @@ def plot_fan(cls, dmap_data: List[dict], ax=None, scan_index: int = 1, the label that appears next to the colour bar. Requires colorbar to be true Default: '' + fov_files: bool + boolean if the fov data should be read in by a file + pyDARN supplies. If false then it uses radar position + code. + default: False Returns ----------- beam_corners_aacgm_lats @@ -243,6 +249,12 @@ def plot_fov(cls, stid: str, dtime: dt.datetime, rsep: int = 45, ----------- stid: str Radar station ID + rsep: int + gate seperation [km], set by the radar control program. + default: 45 common mode + frang: int + distance from the radar site to the edge of the range gate [km] + default: 180 km ax: matplotlib.pyplot axis Pre-defined axis object to pass in, must currently be polar projection @@ -256,17 +268,25 @@ def plot_fov(cls, stid: str, dtime: dt.datetime, rsep: int = 45, Default: 50 ranges: list Set to a two element list of the lower and upper ranges to plot - Default: [0,75] + If None, the max will be obtained by SuperDARNRadars + Default: None boundary: bool Set to false to not plot the outline of the FOV Default: True fov_color: str fov color to fill in the boundary default: None + line_color: str + line color of the fov plot + default: black alpha: int alpha controls the transparency of the fov color Default: 0.5 + fov_files: bool + boolean determine if the fov should be read by the files + provided in pyDARN. Else it will use radar position code. + Default: False Returns ------- From 02bdec05b80add741152626cb4761631c9ae052a Mon Sep 17 00:00:00 2001 From: mts299 Date: Mon, 3 May 2021 16:46:51 -0600 Subject: [PATCH 017/109] made it a bit faster --- pydarn/utils/radar_pos.py | 90 ++++++++++++++++++++++----------------- 1 file changed, 50 insertions(+), 40 deletions(-) diff --git a/pydarn/utils/radar_pos.py b/pydarn/utils/radar_pos.py index f57517191..b51e44c4d 100644 --- a/pydarn/utils/radar_pos.py +++ b/pydarn/utils/radar_pos.py @@ -47,8 +47,9 @@ # TODO: add enum for coords -def radar_fov(stid: int, rsep: int = 45, frang: int = 180, ranges: tuple = None, - read_file: bool = False, coords: str = 'aacgm', max_beams: int = None, +def radar_fov(stid: int, rsep: int = 45, frang: int = 180, + ranges: tuple = None, read_file: bool = False, + coords: str = 'aacgm', max_beams: int = None, date: datetime = None): """ Returning beam/gate coordinates of a specified radar's field-of-view @@ -88,6 +89,29 @@ def radar_fov(stid: int, rsep: int = 45, frang: int = 180, ranges: tuple = None, # Read in geographic coordinates beam_corners_lats = np.loadtxt(beam_lats) beam_corners_lons = np.loadtxt(beam_lons) + # AACGMv2 conversion + if coords == 'aacgm': + if date is None: + date = datetime.datetime.now() + # Initialise arrays + fan_shape = beam_corners_lons.shape + beam_corners_aacgm_lons = \ + np.zeros((fan_shape[0], fan_shape[1])) + beam_corners_aacgm_lats = \ + np.zeros((fan_shape[0], fan_shape[1])) + + for x in range(fan_shape[0]): + for y in range(fan_shape[1]): + # Conversion + geomag = np.array(aacgmv2. + get_aacgm_coord(beam_corners_lats[x, y], + beam_corners_lons[x, y], + 250, date)) + beam_corners_aacgm_lats[x, y] = geomag[0] + beam_corners_aacgm_lons[x, y] = geomag[1] + + # Return AACGMv2 latitudes and longitudes + return beam_corners_aacgm_lats, beam_corners_aacgm_lons else: if ranges is None: ranges = [0, SuperDARNRadars.radars[stid].range_gate_45] @@ -101,37 +125,22 @@ def radar_fov(stid: int, rsep: int = 45, frang: int = 180, ranges: tuple = None, for beam in range(0, max_beams+1): for gate in range(ranges[0], ranges[1]): - beam_corners_lats[gate, beam], beam_corners_lons[gate, beam] =\ - geographic_cell_positions(stid, beam, gate, rsep, - frang, height=300) - - # AACGMv2 conversion - if coords == 'aacgm': - if not date: - date = datetime.datetime.now() - - # Initialise arrays - fan_shape = beam_corners_lons.shape - beam_corners_aacgm_lons = \ - np.zeros((fan_shape[0], fan_shape[1])) - beam_corners_aacgm_lats = \ - np.zeros((fan_shape[0], fan_shape[1])) - - for x in range(fan_shape[0]): - for y in range(fan_shape[1]): - # Conversion - geomag = np.array(aacgmv2. - get_aacgm_coord(beam_corners_lats[x, y], - beam_corners_lons[x, y], - 250, date)) - beam_corners_aacgm_lats[x, y] = geomag[0] - beam_corners_aacgm_lons[x, y] = geomag[1] - - # Return AACGMv2 latitudes and longitudes - return beam_corners_aacgm_lats, beam_corners_aacgm_lons - else: - # Return geographic coordinates - return beam_corners_lats, beam_corners_lons + lat, lon = geographic_cell_positions(stid, beam, gate, rsep, + frang, height=300) + + if coords == 'aacgm': + if date is None: + date = datetime.datetime.now() + + geomag = np.array(aacgmv2. get_aacgm_coord(lat, lon, + 250, date)) + lat = geomag[0] + lon = geomag[1] + beam_corners_lats[gate, beam] = lat + beam_corners_lons[gate, beam] = lon + + # Return geographic coordinates + return beam_corners_lats, beam_corners_lons # RPosGeo line 335 @@ -313,6 +322,9 @@ def geocentric_coordinates(radar_lat: float, radar_lon: float, rlat, rlon, r_radar, delta = geodetic2geocentric(radar_lat, radar_lon) r_cell = r_radar + psi_cos_2 = np.cos(psi)**2 + psi_sin_2 = np.sin(psi)**2 + while_flag = True while while_flag: # distance between the gate cell to the earth's centre [km] @@ -333,8 +345,6 @@ def geocentric_coordinates(radar_lat: float, radar_lon: float, xelv = rel_elv # Estimate the off-array-normal azimuth in radians - psi_cos_2 = np.cos(psi)**2 - psi_sin_2 = np.sin(psi)**2 elv_sin_2 = np.sin(xelv)**2 est_azimuth = psi_cos_2 - elv_sin_2 @@ -359,7 +369,7 @@ def geocentric_coordinates(radar_lat: float, radar_lon: float, slant_range) # recalculate the radius under the gate cell and centre of earth - _, _, r_cell, _ = geocentric2geodetic(cell_lat, cell_lon) + r_cell = geocentric2geodetic(cell_lat, cell_lon) cell_heightx = cell_rho - r_cell # this ensures convergence on the cell point while_flag = abs(cell_heightx - x_height) > 0.5 @@ -560,8 +570,8 @@ def geocentric2geodetic(lat: float, lon: float): e2 = EARTH_RADIUS**2 / b**2 - 1 rho = EARTH_RADIUS / np.sqrt(1+e2*np.sin(lat)**2) - dlat = np.arctan(EARTH_RADIUS**2/b**2 * np.tan(lat)) - dlon = lon - delta = dlat - lat + # dlat = np.arctan(EARTH_RADIUS**2/b**2 * np.tan(lat)) + # dlon = lon + # delta = dlat - lat - return dlat, dlon, rho, delta + return rho From f7da5c015ac4472e475f2bd8f18c1a0dd73af2bd Mon Sep 17 00:00:00 2001 From: mts299 Date: Mon, 3 May 2021 16:54:34 -0600 Subject: [PATCH 018/109] add Devin's last to comments --- pydarn/utils/radar_pos.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/pydarn/utils/radar_pos.py b/pydarn/utils/radar_pos.py index b51e44c4d..017b8f6e6 100644 --- a/pydarn/utils/radar_pos.py +++ b/pydarn/utils/radar_pos.py @@ -213,11 +213,13 @@ def geographic_cell_positions(stid: int, beam: int, range_gate: int, else: beam_edge = 0 - # psi in [rad] + # psi [rad] in the angle from the boresight psi = beam_sep * (beam - offset) + beam_edge # Calculate the slant range [km] slant_range = gate2slant(frang, rsep, rxrise, gate=range_gate) + # If no height is specified then use elevation angle (default 0) + # to calculate the transmutation height if height is None: height = -EARTH_RADIUS + np.sqrt(EARTH_RADIUS**2 + 2 * slant_range * EARTH_RADIUS * From 4c67120d925c54a6bb7242998e4aacbc7fa1c67b Mon Sep 17 00:00:00 2001 From: mts299 Date: Fri, 14 May 2021 11:55:34 -0600 Subject: [PATCH 019/109] playing with coords --- pydarn/plotting/fan.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pydarn/plotting/fan.py b/pydarn/plotting/fan.py index d34171806..5629f1f28 100644 --- a/pydarn/plotting/fan.py +++ b/pydarn/plotting/fan.py @@ -300,7 +300,7 @@ def plot_fov(cls, stid: str, dtime: dt.datetime, rsep: int = 45, # Get radar beam/gate locations beam_corners_aacgm_lats, beam_corners_aacgm_lons = \ - radar_fov(stid, rsep, frang, coords='aacgm', ranges=ranges, + radar_fov(stid, rsep, frang, coords=coords, ranges=ranges, date=dtime, max_beams=max_beams, read_file=fov_files) fan_shape = beam_corners_aacgm_lons.shape From a6df77fd0586f4bef53cfd00c3633cc54139ce38 Mon Sep 17 00:00:00 2001 From: mts299 Date: Thu, 27 May 2021 14:06:24 -0600 Subject: [PATCH 020/109] added array parameters to time-series --- pydarn/plotting/rtp.py | 24 +++++++++++++++++------- 1 file changed, 17 insertions(+), 7 deletions(-) diff --git a/pydarn/plotting/rtp.py b/pydarn/plotting/rtp.py index 49de56b62..34fc432b4 100644 --- a/pydarn/plotting/rtp.py +++ b/pydarn/plotting/rtp.py @@ -476,7 +476,7 @@ def plot_range_time(cls, dmap_data: List[dict], parameter: str = 'v', @classmethod def plot_time_series(cls, dmap_data: List[dict], parameter: str = 'tfreq', beam_num: int = 0, - ax=None, start_time: datetime = None, + ax=None, gate: int = 0, start_time: datetime = None, end_time: datetime = None, date_fmt: str = '%y/%m/%d\n %H:%M', channel='all', scale: str = 'linear', @@ -561,7 +561,6 @@ def plot_time_series(cls, dmap_data: List[dict], raise plot_exceptions.UnknownParameterError(parameter) cls.dmap_data = dmap_data - check_data_type(cls.dmap_data, parameter, 'scalar', index_first_match) start_time, end_time = cls.__determine_start_end_time(start_time, end_time) @@ -638,11 +637,22 @@ def plot_time_series(cls, dmap_data: List[dict], (channel == dmap_record['channel'] or channel == 'all'): # construct the x-axis array x.append(rec_time) - if parameter == 'tfreq': - # Convert kHz to MHz by dividing by 1000 - y.append(dmap_record[parameter]/1000) - else: - y.append(dmap_record[parameter]) + try: + if parameter == 'tfreq': + # Convert kHz to MHz by dividing by 1000 + y.append(dmap_record[parameter]/1000) + elif isinstance(dmap_record[parameter], np.ndarray): + if gate in dmap_record['slist']: + for i in range(len(dmap_record['slist'])): + if dmap_record['slist'][i] == gate: + break + y.append(dmap_record[parameter][i]) + else: + y.append(np.ma.masked) + else: + y.append(dmap_record[parameter]) + except KeyError: + y.append(np.ma.masked) # else plot missing data elif len(x) > 0: diff_time = rec_time - x[-1] From 2d5f1d94cb81bc02819a0ed6a9c1e366cfe58092 Mon Sep 17 00:00:00 2001 From: mts299 Date: Thu, 3 Jun 2021 10:31:08 -0600 Subject: [PATCH 021/109] converted to plotting methods parameters to kwargs --- docs/imgs/pwr0_range-time.png | Bin 0 -> 62825 bytes pydarn/plotting/fan.py | 69 ++++++++-------------- pydarn/plotting/grid.py | 55 ++++++------------ 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zmax: int = None, - colorbar: bool = True, - colorbar_label: str = '', radar_location: bool = True, - radar_label: bool = False, title: bool = True, + groundscatter: bool = False, zmin: int = None, + zmax: int = None, colorbar: bool = True, + colorbar_label: str = '', title: bool = True, **kwargs): """ Plots a radar's Field Of View (FOV) fan plot for the given data and @@ -85,19 +81,6 @@ def plot_fan(cls, dmap_data: List[dict], ax=None, parameter: str Key name indicating which parameter to plot. Default: v (Velocity). Alternatives: 'p_l', 'w_l', 'elv' - ranges: list - Set to a two element list of the lower and upper ranges to plot - Default: [0,75] - boundary: bool - Set to false to not plot the outline of the FOV - Default: True - line_color: str - set the line and dot color - default: black - alpha: int - alpha controls the transparency of - the fov color - Default: 0.5 cmap: matplotlib.cm matplotlib colour map https://matplotlib.org/tutorials/colors/colormaps.html @@ -114,12 +97,6 @@ def plot_fan(cls, dmap_data: List[dict], ax=None, colorbar: bool Draw a colourbar if True Default: True - radar_location: bool - Add a dot where radar is located if True - Default: False - radar_label: bool - Add a label with the radar abbreviation if True - Default: False colorbar_label: str the label that appears next to the colour bar. Requires colorbar to be true @@ -130,7 +107,7 @@ def plot_fan(cls, dmap_data: List[dict], ax=None, default: true kwargs: key = value Additional keyword arguments to be used in projection plotting - For possible keywords, see: projections.axis_polar + and plot_fov for possible keywords, see: projections.axis_polar Returns ----------- @@ -148,6 +125,10 @@ def plot_fan(cls, dmap_data: List[dict], ax=None, -------- plot_fov """ + try: + ranges = kwargs['ranges'] + except KeyError: + ranges = [0, 75] # Get scan numbers for each record beam_scan = build_scan(dmap_data) @@ -178,11 +159,7 @@ def plot_fan(cls, dmap_data: List[dict], ax=None, # Plot FOV outline beam_corners_aacgm_lats, beam_corners_aacgm_lons, thetas, rs, ax = \ - cls.plot_fov(stid=dmap_data[0]['stid'], date=date, - ranges=ranges, boundary=boundary, - line_color=line_color, alpha=alpha, - radar_label=radar_label, - radar_location=radar_location, ax=ax, **kwargs) + cls.plot_fov(dmap_data[0]['stid'], date, **kwargs) fan_shape = beam_corners_aacgm_lons.shape @@ -262,8 +239,8 @@ def plot_fan(cls, dmap_data: List[dict], ax=None, return beam_corners_aacgm_lats, beam_corners_aacgm_lons, scan, grndsct @classmethod - def plot_fov(cls, stid: str, date: dt.datetime, ax=None, - ranges: List = [], boundary: bool = True, + def plot_fov(cls, stid: str, date: dt.datetime, + ax=None, ranges: List = [], boundary: bool = True, fov_color: str = None, alpha: int = 0.5, radar_location: bool = True, radar_label: bool = False, line_color: str = 'black', **kwargs): @@ -364,9 +341,9 @@ def plot_fov(cls, stid: str, date: dt.datetime, ax=None, linewidth=0.5) if radar_location: - cls.plot_radar_position(stid, date, line_color=line_color) + cls.plot_radar_position(stid, date, line_color, **kwargs) if radar_label: - cls.plot_radar_label(stid, date, line_color=line_color) + cls.plot_radar_label(stid, date, line_color, **kwargs) if fov_color is not None: theta = thetas[0:ranges[1], 0] @@ -384,8 +361,8 @@ def plot_fov(cls, stid: str, date: dt.datetime, ax=None, return beam_corners_aacgm_lats, beam_corners_aacgm_lons, thetas, rs, ax @classmethod - def plot_radar_position(cls, stid: int, dtime: dt.datetime, - line_color: str = 'black'): + def plot_radar_position(cls, stid: int, date: dt.datetime, + line_color: str = 'black', **kwargs): """ plots only a dot at the position of a given radar station ID (stid) @@ -393,7 +370,7 @@ def plot_radar_position(cls, stid: int, dtime: dt.datetime, ----------- stid: int Radar station ID - dtime: datetime datetime object + date: datetime datetime object sets the datetime used to find the coordinates of the FOV line_color: str @@ -408,9 +385,9 @@ def plot_radar_position(cls, stid: int, dtime: dt.datetime, lat = SuperDARNRadars.radars[stid].hardware_info.geographic.lat lon = SuperDARNRadars.radars[stid].hardware_info.geographic.lon # Convert to geomag coords - geomag_radar = aacgmv2.get_aacgm_coord(lat, lon, 250, dtime) + geomag_radar = aacgmv2.get_aacgm_coord(lat, lon, 250, date) mltshift = geomag_radar[1] - (aacgmv2.convert_mlt(geomag_radar[1], - dtime) * 15) + date) * 15) # Convert to MLT then radians for theta theta_lon = np.radians(geomag_radar[1] - mltshift) r_lat = geomag_radar[0] @@ -419,8 +396,8 @@ def plot_radar_position(cls, stid: int, dtime: dt.datetime, return @classmethod - def plot_radar_label(cls, stid: int, dtime: dt.datetime, - line_color: str = 'black'): + def plot_radar_label(cls, stid: int, date: dt.datetime, + line_color: str = 'black', **kwargs): """ plots only string at the position of a given radar station ID (stid) @@ -428,7 +405,7 @@ def plot_radar_label(cls, stid: int, dtime: dt.datetime, ----------- stid: int Radar station ID - dtime: datetime datetime object + date: datetime datetime object sets the datetime used to find the coordinates of the FOV line_color: str @@ -446,9 +423,9 @@ def plot_radar_label(cls, stid: int, dtime: dt.datetime, lat = SuperDARNRadars.radars[stid].hardware_info.geographic.lat lon = SuperDARNRadars.radars[stid].hardware_info.geographic.lon # Convert to geomag coords - geomag_radar = aacgmv2.get_aacgm_coord(lat, lon, 250, dtime) + geomag_radar = aacgmv2.get_aacgm_coord(lat, lon, 250, date) mltshift = geomag_radar[1] - \ - (aacgmv2.convert_mlt(geomag_radar[1], dtime) * 15) + (aacgmv2.convert_mlt(geomag_radar[1], date) * 15) # Convert to MLT then radians for theta theta_lon = np.radians(geomag_radar[1] - mltshift) r_lat = geomag_radar[0] diff --git a/pydarn/plotting/grid.py b/pydarn/plotting/grid.py index 73c5446d9..f8c51a713 100644 --- a/pydarn/plotting/grid.py +++ b/pydarn/plotting/grid.py @@ -46,13 +46,12 @@ def __str__(self): @classmethod def plot_grid(cls, dmap_data: List[dict], record: int = 0, start_time: dt.datetime = None, time_delta: int = 1, - ax=None, fov: bool = True, parameter: str = 'vel', - lowlat: int = 30, cmap: str = None, zmin: int = None, + ax=None, parameter: str = 'vel', + cmap: str = None, zmin: int = None, zmax: int = None, colorbar: bool = True, colorbar_label: str = '', title: str = '', len_factor: float = 150.0, ref_vector: int = 300, - fov_color: str = 'black', fov_fill_color: str = None, - radar_location: bool = True, radar_label: bool = False): + **kwargs): """ Plots a radar's gridded vectors from a GRID file @@ -79,12 +78,6 @@ def plot_grid(cls, dmap_data: List[dict], record: int = 0, parameter: str Key name indicating which parameter to plot. Default: vel (Velocity). Alternatives: 'pwr', 'wdt' - lowlat: int - Lower AACGM latitude boundary for the polar plot - Default: 50 - fov: bool - Set to false to not plot the outline of the FOV - Default: True cmap: matplotlib.cm matplotlib colour map https://matplotlib.org/tutorials/colors/colormaps.html @@ -113,19 +106,8 @@ def plot_grid(cls, dmap_data: List[dict], record: int = 0, ref_vector: int Velocity value to be used for the reference vector, in m/s Default: 300 - fov_color: str - Field of View boundary color - default: black - fov_fill_color: str - field of view fill color - default: '' - transparent - radar_label: bool - place the radar abbreviation on the plot - default: False - radar_location: bool - place the radar location represented as a dot - default: True - + kwargs: key=value + uses the parameters for plot_fov and projections.axis See Also -------- plot_fov - plots the field of view found in fan.py @@ -152,12 +134,12 @@ def plot_grid(cls, dmap_data: List[dict], record: int = 0, # Find the record corresponding to the start time if start_time is not None: for record in range(len(dmap_data)): - dtime = dt.datetime(dmap_data[record]['start.year'], + date = dt.datetime(dmap_data[record]['start.year'], dmap_data[record]['start.month'], dmap_data[record]['start.day'], dmap_data[record]['start.hour'], dmap_data[record]['start.minute']) - time_diff = dtime - start_time + time_diff = date - start_time if time_diff.seconds/60 <= time_delta: break if time_diff.seconds/60 > time_delta: @@ -165,26 +147,21 @@ def plot_grid(cls, dmap_data: List[dict], record: int = 0, start_time=start_time) else: record = 0 - dtime = dt.datetime(dmap_data[record]['start.year'], + date = dt.datetime(dmap_data[record]['start.year'], dmap_data[record]['start.month'], dmap_data[record]['start.day'], dmap_data[record]['start.hour'], dmap_data[record]['start.minute']) for stid in dmap_data[record]['stid']: - _, aacgm_lons, _, _, ax = Fan.plot_fov(stid, dtime, - boundary=fov, - lowlat=lowlat, - line_color=fov_color, - fov_color=fov_fill_color, - radar_location=radar_location, - radar_label=radar_label) + _, aacgm_lons, _, _, ax = Fan.plot_fov(stid, date, + **kwargs) data_lons = dmap_data[record]['vector.mlon'] data_lats = dmap_data[record]['vector.mlat'] # Hold the beam positions shifted_mlts = aacgm_lons[0, 0] - \ - (aacgmv2.convert_mlt(aacgm_lons[0, 0], dtime) * 15) + (aacgmv2.convert_mlt(aacgm_lons[0, 0], date) * 15) shifted_lons = data_lons - shifted_mlts thetas = np.radians(shifted_lons) rs = data_lats @@ -279,11 +256,11 @@ def plot_grid(cls, dmap_data: List[dict], record: int = 0, if title == '': title = "{year}-{month}-{day} {start_hour}:{start_minute} -"\ " {end_hour}:{end_minute}"\ - "".format(year=dtime.year, - month=str(dtime.month).zfill(2), - day=str(dtime.day).zfill(2), - start_hour=str(dtime.hour).zfill(2), - start_minute=str(dtime.minute).zfill(2), + "".format(year=date.year, + month=str(date.month).zfill(2), + day=str(date.day).zfill(2), + start_hour=str(date.hour).zfill(2), + start_minute=str(date.minute).zfill(2), end_hour=str(dmap_data[record]['end.hour']). zfill(2), end_minute=str(dmap_data[record]['end.minute']). diff --git a/pydarn/plotting/rtp.py b/pydarn/plotting/rtp.py index badf972bd..dcc7f3949 100644 --- a/pydarn/plotting/rtp.py +++ b/pydarn/plotting/rtp.py @@ -71,8 +71,7 @@ def plot_range_time(cls, dmap_data: List[dict], parameter: str = 'v', start_time: datetime = None, end_time: datetime = None, colorbar: plt.colorbar = None, ymin: int = None, ymax: int = None, yspacing: int = 200, - coord: object = Coords.SLANT_RANGE, - reflection_height: float = 250.0, + coords: object = Coords.SLANT_RANGE, colorbar_label: str = '', norm=colors.Normalize, cmap: str = None, filter_settings: dict = {}, @@ -128,10 +127,6 @@ def plot_range_time(cls, dmap_data: List[dict], parameter: str = 'v', coord: Coords set the y-axis to a desired coordinate system Default: Coords.SLANT_RANGE - reflection_height: float - set the ionosphere virtual reflection height - this only applies to Coords.GROUND_SCATTER_MAPPED_RANGE - Default: 250 (km) norm: matplotlib.colors.Normalization object This object use dependency injection to use any normalization method with the zmin and zmax. @@ -181,9 +176,8 @@ def plot_range_time(cls, dmap_data: List[dict], parameter: str = 'v', to compare against. Will filter out data sections that is does not equal the value. kwargs: - key names of variable settings of pcolormesh: - https://matplotlib.org/3.1.1/api/_as_gen/matplotlib.pyplot.pcolormesh.html - + used for other methods in pyDARN + - reflection_height Raises ------ UnknownParameterError @@ -355,16 +349,16 @@ def plot_range_time(cls, dmap_data: List[dict], parameter: str = 'v', start_time=start_time, end_time=end_time, opt_beam_num=cls.dmap_data[0]['bmnum']) - if coord is Coords.SLANT_RANGE: + if coords is Coords.SLANT_RANGE: # Get rxrise from hardware files (consistent with RST) rxrise = SuperDARNRadars.radars[cls.dmap_data[0]['stid']]\ .hardware_info.rx_rise_time y = gate2slant(cls.dmap_data[0], y_max, rxrise=rxrise) - elif coord is Coords.GROUND_SCATTER_MAPPED_RANGE: + elif coords is Coords.GROUND_SCATTER_MAPPED_RANGE: rxrise = SuperDARNRadars.radars[cls.dmap_data[0]['stid']]\ .hardware_info.rx_rise_time y = gate2slant(cls.dmap_data[0], y_max, rxrise=rxrise) - y = gate2GroundScatter(y, reflection_height) + y = gate2GroundScatter(y, **kwargs) y0inx = np.min(np.where(np.isfinite(y))[0]) y = y[y0inx:] z = z[:,y0inx:] @@ -428,7 +422,7 @@ def plot_range_time(cls, dmap_data: List[dict], parameter: str = 'v', ax.set_ylim(ymin, ymax) - if coord is Coords.SLANT_RANGE or coord is Coords.GROUND_SCATTER_MAPPED_RANGE: + if coords is Coords.SLANT_RANGE or coords is Coords.GROUND_SCATTER_MAPPED_RANGE: ax.yaxis.set_ticks(np.arange(np.ceil(ymin/100.0)*100, ymax+1, yspacing)) else: @@ -446,7 +440,7 @@ def plot_range_time(cls, dmap_data: List[dict], parameter: str = 'v', tick_interval = 1 ax.xaxis.set_minor_locator(dates.MinuteLocator(interval=tick_interval)) - if coord is Coords.SLANT_RANGE or coord is Coords.GROUND_SCATTER_MAPPED_RANGE: + if coords is Coords.SLANT_RANGE or coords is Coords.GROUND_SCATTER_MAPPED_RANGE: ax.yaxis.set_minor_locator(ticker.AutoMinorLocator(2)) else: ax.yaxis.set_minor_locator(ticker.MultipleLocator(5)) @@ -483,7 +477,9 @@ def plot_time_series(cls, dmap_data: List[dict], end_time: datetime = None, date_fmt: str = '%y/%m/%d\n %H:%M', channel='all', scale: str = 'linear', - cp_name: bool = True, **kwargs): + cp_name: bool = True, color: str = 'black', + linestyle: str = '-', linewidth: float = 1, + **kwargs): """ Plots the time series of a scalar parameter @@ -521,6 +517,15 @@ def plot_time_series(cls, dmap_data: List[dict], along side the number. Otherwise the cp ID will just be printed. This is only used for the parameter cp Default: True + color: str + color of the line + default: black + linestyle: str + style of line with dash marks or solid + default: solid + linewidth: float + the width of the line + default: 1 kwargs kwargs passed into plot_date @@ -668,9 +673,10 @@ def plot_time_series(cls, dmap_data: List[dict], # otherwise the lines will connect in gapped data my = np.ma.array(y) my = np.ma.masked_where(np.isnan(my), my) + lines = ax.plot_date(x, my, fmt='k', tz=None, xdate=True, - ydate=False, - **kwargs) + ydate=False, color=color, linestyle=linestyle, + linewidth=linewidth) rounded_down_start_time = x[0] -\ timedelta(minutes=x[0].minute % 15, seconds=x[0].second, @@ -709,14 +715,13 @@ def plot_time_series(cls, dmap_data: List[dict], return lines, x, y @classmethod - def plot_summary(cls, dmap_data: List[dict], beam_num: int = 0, - groundscatter: bool = True, channel: int = 'all', - coord: object = Coords.SLANT_RANGE, - reflection_height: float = 250.0, + def plot_summary(cls, dmap_data: List[dict], figsize: tuple = (11, 8.5), watermark: bool = True, boundary: dict = {}, - background_color: str = 'w', cmaps: dict = {}, - lines: dict = {}, plot_elv: bool = True, title=None): + cmaps: dict = {}, lines: dict = {}, + plot_elv: bool = True, title=None, + groundscatter: bool = True, channel: int = 'all', + coords: object = Coords.SLANT_RANGE, **kwargs): """ Plots the summary of several SuperDARN parameters using time-series and range-time plots. Please see Notes for further description @@ -745,13 +750,9 @@ def plot_summary(cls, dmap_data: List[dict], beam_num: int = 0, channel number that will be plotted in the summary plot. Default: 'all' - coord: Coord + coords: Coord object set the y-axis to a desired coordinate system Default: Coord.SLANT_RANGE - reflection_height: float - set the ionosphere virtual reflection height - this only applies to Coords.GROUND_SCATTER_MAPPED_RANGE - Default: 250 (km) figsize : (int,int) tuple containing (height, width) figure size Default: 11 x 8.5 @@ -770,9 +771,6 @@ def plot_summary(cls, dmap_data: List[dict], beam_num: int = 0, lines: dict or str dictionary of time-series line colors. Default: black - background_color: str - changes the color of the background in the plots. - Default: white boundary: dict tuple as the value (zmin, zmax) for the plots Default: {'noise.sky': (1e0, 1e5), @@ -792,7 +790,9 @@ def plot_summary(cls, dmap_data: List[dict], beam_num: int = 0, Default: auto-generated by the files details {radar name} {Radar system (if applicable)} Fitacf {version} {start hour/date} - {end hour/date} Beam {number} - + kwargs: + reflection_height for ground_scatter_mapped method + background Raises ------ IndexError @@ -922,12 +922,12 @@ def plot_summary(cls, dmap_data: List[dict], beam_num: int = 0, # ignore the warnings because summary plots # has its own warning message warnings.simplefilter("ignore") - cls.plot_time_series(dmap_data, beam_num=beam_num, + cls.plot_time_series(dmap_data, parameter=axes_parameters[i][0], - channel=channel, scale=scale, + scale=scale, channel=channel, color=line[axes_parameters[i][0]], ax=axes[i], linestyle='-', - label=labels[i][0]) + label=labels[i][0], **kwargs) axes[i].set_ylabel(labels[i][0], rotation=0, labelpad=30) axes[i].\ axhline(y=boundary_ranges[axes_parameters[i][0]][0] + @@ -955,12 +955,12 @@ def plot_summary(cls, dmap_data: List[dict], beam_num: int = 0, # warnings are not caught with try/except with warnings.catch_warnings(): warnings.simplefilter("ignore") - cls.plot_time_series(dmap_data, beam_num=beam_num, + cls.plot_time_series(dmap_data, parameter=axes_parameters[i][1], color=line[axes_parameters[i][1]], channel=channel, scale=scale, ax=second_ax, - linestyle='--') + linestyle='--', **kwargs) second_ax.set_xticklabels([]) second_ax.set_ylabel(labels[i][1], rotation=0, labelpad=25) @@ -992,10 +992,9 @@ def plot_summary(cls, dmap_data: List[dict], beam_num: int = 0, # the citing warning. with warnings.catch_warnings(): warnings.simplefilter("ignore") - cls.plot_time_series(dmap_data, beam_num=beam_num, + cls.plot_time_series(dmap_data, channel=channel, parameter=axes_parameters[i], - channel=channel, - ax=axes[i]) + ax=axes[i], **kwargs) axes[i].set_ylabel('CPID', rotation=0, labelpad=30) axes[i].yaxis.set_label_coords(-0.08, 0.079) axes[i].set_facecolor(background_color) @@ -1003,9 +1002,9 @@ def plot_summary(cls, dmap_data: List[dict], beam_num: int = 0, else: # Current standard is to only have groundscatter # on the velocity plot. This may change in the future. - if coord is Coords.SLANT_RANGE: + if coords is Coords.SLANT_RANGE: ymax = 3517.5 - elif coord is Coords.GROUND_SCATTER_MAPPED_RANGE: + elif coords is Coords.GROUND_SCATTER_MAPPED_RANGE: ymax = 3517.5/2 else: ymax = 75 @@ -1020,20 +1019,17 @@ def plot_summary(cls, dmap_data: List[dict], beam_num: int = 0, warnings.simplefilter("ignore") _, cbar, _, x, _, _ =\ cls.plot_range_time(dmap_data, - beam_num=beam_num, colorbar_label=labels[i], - parameter=axes_parameters[i], - ax=axes[i], - groundscatter=grndflg, channel=channel, - coord=coord, - reflection_height = reflection_height, + parameter=axes_parameters[i], + ax=axes[i], groundscatter=grndflg, cmap=cmap[axes_parameters[i]], zmin=boundary_ranges[axes_parameters[i]][0], zmax=boundary_ranges[axes_parameters[i]][1], - ymax=ymax, - yspacing=500, - background=background_color) + ymax=ymax, yspacing=500, + background=background_color, + coords=coords, + **kwargs) # Overwriting velocity ticks to get a better pleasing # look on the colorbar # Preference by Marina Schmidt @@ -1049,9 +1045,9 @@ def plot_summary(cls, dmap_data: List[dict], beam_num: int = 0, if ticks[-1] > boundary_ranges[axes_parameters[i]][1]: ticks[-1] = boundary_ranges[axes_parameters[i]][1] cbar.set_ticks(ticks) - if coord is Coords.SLANT_RANGE: + if coords is Coords.SLANT_RANGE: axes[i].set_ylabel('Slant Range (km)') - elif coord is Coords.GROUND_SCATTER_MAPPED_RANGE: + elif coords is Coords.GROUND_SCATTER_MAPPED_RANGE: axes[i].set_ylabel('Ground Scatter\nMapped Range\n(km)') else: axes[i].set_ylabel('Range Gates') @@ -1062,7 +1058,7 @@ def plot_summary(cls, dmap_data: List[dict], beam_num: int = 0, axes[i].set_xlabel('Date (UTC)') if title is None: - plt.title(cls.__generate_title(x[0], x[-1], beam_num, + plt.title(cls.__generate_title(x[0], x[-1], kwargs['beam_num'], channel), y=2.4) else: plt.title(title, y=2.4) From 886926f2f3a9c7daab920eab4e9dbb6bca83ff72 Mon Sep 17 00:00:00 2001 From: mts299 Date: Mon, 7 Jun 2021 08:36:11 -0600 Subject: [PATCH 022/109] resolving merge issues --- pydarn/__init__.py | 4 ---- pydarn/plotting/fan.py | 8 ++++---- pydarn/plotting/rtp.py | 4 ---- pydarn/utils/conversions.py | 8 ++------ pydarn/utils/radar_pos.py | 27 +++++++++++---------------- 5 files changed, 17 insertions(+), 34 deletions(-) diff --git a/pydarn/__init__.py b/pydarn/__init__.py index cb6641c84..7e19255cf 100644 --- a/pydarn/__init__.py +++ b/pydarn/__init__.py @@ -41,11 +41,7 @@ from .utils.superdarn_radars import get_hdw_files from .utils.scan import build_scan from .utils.radar_pos import radar_fov -<<<<<<< HEAD -from .utils.coordinates import Coord from .utils.radar_pos import geographic_cell_positions -======= ->>>>>>> develop # import plotting from .plotting.color_maps import PyDARNColormaps diff --git a/pydarn/plotting/fan.py b/pydarn/plotting/fan.py index b2d623327..cf171ca10 100644 --- a/pydarn/plotting/fan.py +++ b/pydarn/plotting/fan.py @@ -191,8 +191,8 @@ def plot_fan(cls, dmap_data: List[dict], ax=None, ranges=ranges, boundary=boundary, rsep=dmap_data[0]['rsep'], frang=dmap_data[0]['frang'], - ranges=ranges, line_color=line_color, - alpha=alpha, radar_label=radar_label, + line_color=line_color, alpha=alpha, + radar_label=radar_label, radar_location=radar_location, ax=ax, fov_files=fov_files, coords=coords, **kwargs) @@ -346,7 +346,7 @@ def plot_fov(cls, stid: str, date: dt.datetime, rsep: int = 45, # Get radar beam/gate locations beam_corners_aacgm_lats, beam_corners_aacgm_lons = \ radar_fov(stid, rsep, frang, coords=coords, ranges=ranges, - date=dtime, max_beams=max_beams, read_file=fov_files) + date=date, max_beams=max_beams, read_file=fov_files) if not date: date = dt.datetime.now() @@ -368,7 +368,7 @@ def plot_fov(cls, stid: str, date: dt.datetime, rsep: int = 45, # This may screw up references if ax is None: # Get the hemisphere to pass to plotting projection - kwargs['hem'] = SuperDARNRadars.radars[stid].hemisphere + kwargs['hemisphere'] = SuperDARNRadars.radars[stid].hemisphere # Get a polar projection using any kwarg input ax = Projections.axis_polar(**kwargs) diff --git a/pydarn/plotting/rtp.py b/pydarn/plotting/rtp.py index c85ec6105..5b66e3d7b 100644 --- a/pydarn/plotting/rtp.py +++ b/pydarn/plotting/rtp.py @@ -359,10 +359,7 @@ def plot_range_time(cls, dmap_data: List[dict], parameter: str = 'v', # Get rxrise from hardware files (consistent with RST) rxrise = SuperDARNRadars.radars[cls.dmap_data[0]['stid']]\ .hardware_info.rx_rise_time -<<<<<<< HEAD y = gate2slant(cls.dmap_data[0]['frang'], cls.dmap_data[0]['rsep'], cls.dmap_data['rxrise'], y_max) -======= - y = gate2slant(cls.dmap_data[0], y_max, rxrise=rxrise) elif coord is Coords.GROUND_SCATTER_MAPPED_RANGE: rxrise = SuperDARNRadars.radars[cls.dmap_data[0]['stid']]\ .hardware_info.rx_rise_time @@ -371,7 +368,6 @@ def plot_range_time(cls, dmap_data: List[dict], parameter: str = 'v', y0inx = np.min(np.where(np.isfinite(y))[0]) y = y[y0inx:] z = z[:,y0inx:] ->>>>>>> develop time_axis, y_axis = np.meshgrid(x, y) z_data = np.ma.masked_where(np.isnan(z.T), z.T) Default = {'noise.sky': (1e0, 1e5), diff --git a/pydarn/utils/conversions.py b/pydarn/utils/conversions.py index 7f5b4c06e..358e57369 100644 --- a/pydarn/utils/conversions.py +++ b/pydarn/utils/conversions.py @@ -86,10 +86,6 @@ def dmap2dict(dmap_records: List[dict]) -> List[dict]: return dmap_list -<<<<<<< HEAD -def gate2slant(frang:int, rsep:int, rxrise:int, gate: int = 0, - nrang: int = None, center: bool = True): -======= def gate2GroundScatter(slant_ranges: List[float], reflection_height: float = 250): """ @@ -116,8 +112,8 @@ def gate2GroundScatter(slant_ranges: List[float], return ground_scatter_mapped_ranges -def gate2slant(record, nrang, rxrise=0, center=False): ->>>>>>> develop +def gate2slant(frang:int, rsep:int, rxrise:int, gate: int = 0, + nrang: int = None, center: bool = True): """ Calculate the slant range (km) for each range gate for SuperDARN data diff --git a/pydarn/utils/radar_pos.py b/pydarn/utils/radar_pos.py index f68118cd7..3a6ce63bf 100644 --- a/pydarn/utils/radar_pos.py +++ b/pydarn/utils/radar_pos.py @@ -43,13 +43,13 @@ import aacgmv2 from pydarn import SuperDARNRadars, gate2slant, Coords -from pydarn.utils.const import EARTH_RADIUS +from pydarn.utils.constants import EARTH_EQUATORIAL_RADIUS, Re, C def radar_fov(stid: int, rsep: int = 45, frang: int = 180, ranges: tuple = None, read_file: bool = False, coords: object = Coords.AACGM, max_beams: int = None, - date: datetime = None): + date: dt.datetime = None): """ Returning beam/gate coordinates of a specified radar's field-of-view @@ -220,10 +220,8 @@ def geographic_cell_positions(stid: int, beam: int, range_gate: int, # If no height is specified then use elevation angle (default 0) # to calculate the transmutation height if height is None: - height = -EARTH_RADIUS + np.sqrt(EARTH_RADIUS**2 + 2 * slant_range * - EARTH_RADIUS * - np.sin(np.radians(elv_angle)) + - slant_range**2) + height = -Re + np.sqrt(Re**2 + 2 * slant_range * Re * + np.sin(np.radians(elv_angle)) + slant_range**2) lat, lon = geocentric_coordinates(radar_lat, radar_lon, slant_range, height, psi, boresight, chisham) @@ -526,18 +524,18 @@ def geodetic2geocentric(lat: float, lon: float): # reciprocal flattening f = 1.0 / 298.257223563 # b is in [km] semi minor axis of earth - b = EARTH_RADIUS * (1.0 - f) + b = EARTH_EQUATORIAL_RADIUS * (1.0 - f) # e2 is the ellipticity - e2 = EARTH_RADIUS**2 / b**2 - 1 + e2 = EARTH_EQUATORIAL_RADIUS**2 / b**2 - 1 - glat = np.arctan(b**2 / EARTH_RADIUS**2 * np.tan(lat)) + glat = np.arctan(b**2 / EARTH_EQUATORIAL_RADIUS**2 * np.tan(lat)) # glon [rad] glon = lon if glon > np.pi: glon = glon - 2 * np.pi # grho is km? - rho = EARTH_RADIUS / np.sqrt(1 + e2 * np.sin(glat)**2) + rho = EARTH_EQUATORIAL_RADIUS / np.sqrt(1 + e2 * np.sin(glat)**2) # delta in [rad] delta = lat - glat return glat, glon, rho, delta @@ -567,12 +565,9 @@ def geocentric2geodetic(lat: float, lon: float): """ # WGS 84 oblate spheroid defining parameters f = 1.0 / 298.257223563 - b = EARTH_RADIUS * (1.0 - f) - e2 = EARTH_RADIUS**2 / b**2 - 1 + b = EARTH_EQUATORIAL_RADIUS * (1.0 - f) + e2 = EARTH_EQUATORIAL_RADIUS**2 / b**2 - 1 - rho = EARTH_RADIUS / np.sqrt(1+e2*np.sin(lat)**2) - # dlat = np.arctan(EARTH_RADIUS**2/b**2 * np.tan(lat)) - # dlon = lon - # delta = dlat - lat + rho = EARTH_EQUATORIAL_RADIUS / np.sqrt(1+e2*np.sin(lat)**2) return rho From c99cd27a5c5e4737414f34275b02a8107f08898d Mon Sep 17 00:00:00 2001 From: mts299 Date: Wed, 9 Jun 2021 14:01:23 -0600 Subject: [PATCH 023/109] fixed an error with coords --- pydarn/utils/radar_pos.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pydarn/utils/radar_pos.py b/pydarn/utils/radar_pos.py index 3a6ce63bf..f175e5d66 100644 --- a/pydarn/utils/radar_pos.py +++ b/pydarn/utils/radar_pos.py @@ -127,7 +127,7 @@ def radar_fov(stid: int, rsep: int = 45, frang: int = 180, lat, lon = geographic_cell_positions(stid, beam, gate, rsep, frang, height=300) - if coords == 'aacgm': + if coords == Coords.AACGM: if date is None: date = datetime.datetime.now() From 173f2425021c7e34960b23e0a1d8fb1d648dccd3 Mon Sep 17 00:00:00 2001 From: mts299 Date: Wed, 9 Jun 2021 14:22:25 -0600 Subject: [PATCH 024/109] fixed background color isssue --- pydarn/plotting/rtp.py | 14 +++++++++----- 1 file changed, 9 insertions(+), 5 deletions(-) diff --git a/pydarn/plotting/rtp.py b/pydarn/plotting/rtp.py index dcc7f3949..1f31b4cf4 100644 --- a/pydarn/plotting/rtp.py +++ b/pydarn/plotting/rtp.py @@ -399,7 +399,7 @@ def plot_range_time(cls, dmap_data: List[dict], parameter: str = 'v', # set the background color, this needs to happen to avoid # the overlapping problem that occurs - # cmap.set_bad(color=background, alpha=1.) + cmap.set_bad(color=background, alpha=1.) # plot! im = ax.pcolormesh(time_axis, y_axis, z_data, lw=0.01, cmap=cmap, norm=norm, **kwargs) @@ -720,7 +720,8 @@ def plot_summary(cls, dmap_data: List[dict], watermark: bool = True, boundary: dict = {}, cmaps: dict = {}, lines: dict = {}, plot_elv: bool = True, title=None, - groundscatter: bool = True, channel: int = 'all', + background: str = 'w', groundscatter: bool = True, + channel: int = 'all', coords: object = Coords.SLANT_RANGE, **kwargs): """ Plots the summary of several SuperDARN parameters using time-series and @@ -742,6 +743,9 @@ def plot_summary(cls, dmap_data: List[dict], ax: matplotlib.axes axes object for another way of plotting Default: None + background: string + background color of the plots + default: white groundscatter : boolean Flag to indicate if groundscatter should be plotted. Placed only on the velocity plot. @@ -984,7 +988,7 @@ def plot_summary(cls, dmap_data: List[dict], MaxNLocator(integer=True, nbins=3)) - axes[i].set_facecolor(background_color) + axes[i].set_facecolor(background) # plot cp id elif i == 2: # with warning catch, catches all the warnings @@ -997,7 +1001,7 @@ def plot_summary(cls, dmap_data: List[dict], ax=axes[i], **kwargs) axes[i].set_ylabel('CPID', rotation=0, labelpad=30) axes[i].yaxis.set_label_coords(-0.08, 0.079) - axes[i].set_facecolor(background_color) + axes[i].set_facecolor(background) # plot range-time else: # Current standard is to only have groundscatter @@ -1027,7 +1031,7 @@ def plot_summary(cls, dmap_data: List[dict], zmin=boundary_ranges[axes_parameters[i]][0], zmax=boundary_ranges[axes_parameters[i]][1], ymax=ymax, yspacing=500, - background=background_color, + background=background, coords=coords, **kwargs) # Overwriting velocity ticks to get a better pleasing From 998bb763273a19863c762ba136c1ffbaf1ee11ef Mon Sep 17 00:00:00 2001 From: mts299 Date: Thu, 10 Jun 2021 12:17:48 -0600 Subject: [PATCH 025/109] updated gate2slant parameter change for ground scatter mapped coords --- pydarn/plotting/rtp.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pydarn/plotting/rtp.py b/pydarn/plotting/rtp.py index 689174ce3..f5efff88d 100644 --- a/pydarn/plotting/rtp.py +++ b/pydarn/plotting/rtp.py @@ -363,7 +363,7 @@ def plot_range_time(cls, dmap_data: List[dict], parameter: str = 'v', elif coord is Coords.GROUND_SCATTER_MAPPED_RANGE: rxrise = SuperDARNRadars.radars[cls.dmap_data[0]['stid']]\ .hardware_info.rx_rise_time - y = gate2slant(cls.dmap_data[0], y_max, rxrise=rxrise) + y = gate2slant(cls.dmap_data[0]['frang'], cls.dmap_data[0]['rsep'], cls.dmap_data['rxrise'], y_max) y = gate2GroundScatter(y, reflection_height) y0inx = np.min(np.where(np.isfinite(y))[0]) y = y[y0inx:] From c40305187b84acfb6b1cfeb81f16789bb5060ced Mon Sep 17 00:00:00 2001 From: Marina Schmidt Date: Thu, 10 Jun 2021 12:52:31 -0600 Subject: [PATCH 026/109] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 618f9048c..4c1717984 100644 --- a/README.md +++ b/README.md @@ -66,7 +66,7 @@ For more information and tutorials on pyDARN please see the [tutorial section](h pyDARN is always looking for testers and developers keen on learning python, github, and/or SuperDARN data visualizations! Here are some ways to get started: - - **Testing Pull Request**: to determine which [pull requests](https://github.com/SuperDARN/pydarn/pulls) need to be tested right away, filter them by their milestones (v1.1.0 is currently highest priority). + - **Testing Pull Request**: to determine which [pull requests](https://github.com/SuperDARN/pydarn/pulls) need to be tested right away, filter them by their milestones (v3.0 is currently highest priority). - **Getting involved in projects**: if you are looking to help in a specific area, look at pyDARN's [projects tab](https://github.com/SuperDARN/pydarn/projects). The project you are interested in will give you information on what is needed to reach completion. This includes things currently in progress, and those awaiting reviews. - **Answer questions**: if you want to try your hand at answering some pyDARN questions, or adding to the discussion, look at pyDARN's [issues](https://github.com/SuperDARN/pydarn/issues) and filter by labels. - **Become a developer**: if you want to practice those coding skills and add to the library, look at pyDARN [issues](https://github.com/SuperDARN/pydarn/issues) and filter by milestone's to see what needs to get done right away. From d4bf876713975a266dee6abe54683fe65e2b392c Mon Sep 17 00:00:00 2001 From: mts299 Date: Fri, 18 Jun 2021 10:28:41 -0600 Subject: [PATCH 027/109] added an extra overlay on groundscatter data --- pydarn/plotting/rtp.py | 18 ++++++++++++++---- 1 file changed, 14 insertions(+), 4 deletions(-) diff --git a/pydarn/plotting/rtp.py b/pydarn/plotting/rtp.py index 3eb01a865..ece9765ef 100644 --- a/pydarn/plotting/rtp.py +++ b/pydarn/plotting/rtp.py @@ -398,10 +398,6 @@ def plot_range_time(cls, dmap_data: List[dict], parameter: str = 'v', 'elv': PyDARNColormaps.PYDARN} cmap = cmaps[parameter] - if isinstance(groundscatter, str): - cmap.set_under(groundscatter, 1.0) - elif groundscatter: - cmap.set_under('grey', 1.0) # set the background color, this needs to happen to avoid # the overlapping problem that occurs @@ -409,6 +405,20 @@ def plot_range_time(cls, dmap_data: List[dict], parameter: str = 'v', # plot! im = ax.pcolormesh(time_axis, y_axis, z_data, lw=0.01, cmap=cmap, norm=norm, **kwargs) + + if isinstance(groundscatter, str): + ground_scatter = np.ma.masked_where( z_data != -1000000, z_data) + gs_color = colors.ListedColormap([groundscatter]) + im2 = ax.pcolormesh(time_axis, y_axis, ground_scatter, lw=0.01, + cmap=gs_color, norm=norm, **kwargs) + + #cmap.set_under(groundscatter) + elif groundscatter: + ground_scatter = np.ma.masked_where( z_data != -1000000, z_data) + gs_color = colors.ListedColormap(['grey']) + im2 = ax.pcolormesh(time_axis, y_axis, ground_scatter, lw=0.01, + cmap=gs_color, norm=norm, **kwargs) + # setup some standard axis information # Upon request of Daniel Billet and others, I am rounding # the time down so the plotting x-axis will show the origin From 9516db50a4f3d8d6222058ff1dd9694022562f83 Mon Sep 17 00:00:00 2001 From: mts299 Date: Fri, 18 Jun 2021 10:31:58 -0600 Subject: [PATCH 028/109] added my modification line --- pydarn/plotting/rtp.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pydarn/plotting/rtp.py b/pydarn/plotting/rtp.py index ece9765ef..cfa854a42 100644 --- a/pydarn/plotting/rtp.py +++ b/pydarn/plotting/rtp.py @@ -5,7 +5,7 @@ # # Modifications: # 2021-05-12 Francis Tholley added gate2grounscatter to range-time plots -# +# 2021-06-18 Marina Schmidt (SuperDARN Canada) fixed ground scatter colour bug # Disclaimer: # pyDARN is under the LGPL v3 license found in the root directory LICENSE.md # Everyone is permitted to copy and distribute verbatim copies of this license From 4d5f605f00309482aaf73b37215a4ec1821d272f Mon Sep 17 00:00:00 2001 From: carleyjmartin Date: Mon, 21 Jun 2021 10:09:58 -0600 Subject: [PATCH 029/109] keyword option for rounding, detect the tick interval and then set the rounding to that interval --- pydarn/plotting/rtp.py | 77 +++++++++++++++++++++++++++++++++--------- 1 file changed, 61 insertions(+), 16 deletions(-) diff --git a/pydarn/plotting/rtp.py b/pydarn/plotting/rtp.py index 3eb01a865..7046e12de 100644 --- a/pydarn/plotting/rtp.py +++ b/pydarn/plotting/rtp.py @@ -76,7 +76,8 @@ def plot_range_time(cls, dmap_data: List[dict], parameter: str = 'v', colorbar_label: str = '', norm=colors.Normalize, cmap: str = None, filter_settings: dict = {}, - date_fmt: str = '%y/%m/%d\n %H:%M', **kwargs): + date_fmt: str = '%y/%m/%d\n %H:%M', + round_start: bool=True, **kwargs): """ Plots a range-time parameter plot of the given field name in the dmap_data @@ -180,6 +181,10 @@ def plot_range_time(cls, dmap_data: List[dict], parameter: str = 'v', dictionary that contains the key parameter names and the value to compare against. Will filter out data sections that is does not equal the value. + round_start: bool=True + option to round the start time to give tick at start of xaxis + Set True to round, set False to plot from start of data. + Default: True kwargs: key names of variable settings of pcolormesh: https://matplotlib.org/3.1.1/api/_as_gen/matplotlib.pyplot.pcolormesh.html @@ -413,13 +418,10 @@ def plot_range_time(cls, dmap_data: List[dict], parameter: str = 'v', # Upon request of Daniel Billet and others, I am rounding # the time down so the plotting x-axis will show the origin # time label + # Updated to give option to round down and make sure + # rounding to same frequency as plot axis ticks # TODO: may need to be its own function - rounded_down_start_time = x[0] -\ - timedelta(minutes=x[0].minute % 15, - seconds=x[0].second, - microseconds=x[0].microsecond) - ax.set_xlim([rounded_down_start_time, x[-1]]) - ax.xaxis.set_major_formatter(dates.DateFormatter(date_fmt)) + if ymax is None: ymax = np.max(y) @@ -445,6 +447,24 @@ def plot_range_time(cls, dmap_data: List[dict], parameter: str = 'v', else: tick_interval = 1 ax.xaxis.set_minor_locator(dates.MinuteLocator(interval=tick_interval)) + + major_locator, _ = plt.xticks() + dt = dates.num2date(major_locator[1]) - dates.num2date(major_locator[0]) + tick_sep = (dt.seconds//60)%60 + + if round_start: + rounded_down_start_time = x[0] -\ + timedelta(minutes=x[0].minute % tick_sep, + seconds=x[0].second, + microseconds=x[0].microsecond) + else: + rounded_down_start_time = x[0] -\ + timedelta(minutes=x[0].minute % 1, + seconds=x[0].second, + microseconds=x[0].microsecond) + + ax.set_xlim([rounded_down_start_time, x[-1]]) + ax.xaxis.set_major_formatter(dates.DateFormatter(date_fmt)) if coords is Coords.SLANT_RANGE or coords is Coords.GROUND_SCATTER_MAPPED_RANGE: ax.yaxis.set_minor_locator(ticker.AutoMinorLocator(2)) @@ -483,7 +503,8 @@ def plot_time_series(cls, dmap_data: List[dict], end_time: datetime = None, date_fmt: str = '%y/%m/%d\n %H:%M', channel='all', scale: str = 'linear', - cp_name: bool = True, **kwargs): + cp_name: bool = True, round_start: bool=True, + **kwargs): """ Plots the time series of a scalar parameter @@ -521,6 +542,10 @@ def plot_time_series(cls, dmap_data: List[dict], along side the number. Otherwise the cp ID will just be printed. This is only used for the parameter cp Default: True + round_start: bool=True + option to round the start time to give tick at start of xaxis + Set True to round, set False to plot from start of data. + Default: True kwargs kwargs passed into plot_date @@ -681,10 +706,20 @@ def plot_time_series(cls, dmap_data: List[dict], lines = ax.plot_date(x, my, fmt='k', tz=None, xdate=True, ydate=False, **kwargs) - rounded_down_start_time = x[0] -\ - timedelta(minutes=x[0].minute % 15, - seconds=x[0].second, - microseconds=x[0].microsecond) + major_locator, _ = plt.xticks() + dt = dates.num2date(major_locator[1]) - dates.num2date(major_locator[0]) + tick_sep = (dt.seconds//60)%60 + + if round_start: + rounded_down_start_time = x[0] -\ + timedelta(minutes=x[0].minute % tick_sep, + seconds=x[0].second, + microseconds=x[0].microsecond) + else: + rounded_down_start_time = x[0] -\ + timedelta(minutes=x[0].minute % 1, + seconds=x[0].second, + microseconds=x[0].microsecond) ax.set_xlim([rounded_down_start_time, x[-1]]) ax.set_yscale(scale) @@ -692,10 +727,20 @@ def plot_time_series(cls, dmap_data: List[dict], # Rounded the time down to show origin label upon # Daniel Billet and others request. # TODO: may move this to its own function - rounded_down_start_time = x[0] -\ - timedelta(minutes=x[0].minute % 15, - seconds=x[0].second, - microseconds=x[0].microsecond) + major_locator, _ = plt.xticks() + dt = dates.num2date(major_locator[1]) - dates.num2date(major_locator[0]) + tick_sep = (dt.seconds//60)%60 + + if round_start: + rounded_down_start_time = x[0] -\ + timedelta(minutes=x[0].minute % tick_sep, + seconds=x[0].second, + microseconds=x[0].microsecond) + else: + rounded_down_start_time = x[0] -\ + timedelta(minutes=x[0].minute % 1, + seconds=x[0].second, + microseconds=x[0].microsecond) ax.set_xlim([rounded_down_start_time, x[-1]]) ax.xaxis.set_major_formatter(dates.DateFormatter(date_fmt)) From a3f33a77e530330291452cc634d4131a579a9aab Mon Sep 17 00:00:00 2001 From: Marina Schmidt Date: Wed, 23 Jun 2021 10:58:15 -0600 Subject: [PATCH 030/109] Apply suggestions from code review Co-authored-by: carleyjmartin <60905856+carleyjmartin@users.noreply.github.com> --- pydarn/plotting/rtp.py | 1 - 1 file changed, 1 deletion(-) diff --git a/pydarn/plotting/rtp.py b/pydarn/plotting/rtp.py index cfa854a42..2a7a1db33 100644 --- a/pydarn/plotting/rtp.py +++ b/pydarn/plotting/rtp.py @@ -412,7 +412,6 @@ def plot_range_time(cls, dmap_data: List[dict], parameter: str = 'v', im2 = ax.pcolormesh(time_axis, y_axis, ground_scatter, lw=0.01, cmap=gs_color, norm=norm, **kwargs) - #cmap.set_under(groundscatter) elif groundscatter: ground_scatter = np.ma.masked_where( z_data != -1000000, z_data) gs_color = colors.ListedColormap(['grey']) From 2c48f030e9102d52ec699b659dea5b695380c3b5 Mon Sep 17 00:00:00 2001 From: mts299 Date: Wed, 30 Jun 2021 10:46:07 -0600 Subject: [PATCH 031/109] fixed the scan_index bug --- pydarn/plotting/fan.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/pydarn/plotting/fan.py b/pydarn/plotting/fan.py index e15809aef..66ce3b4a9 100644 --- a/pydarn/plotting/fan.py +++ b/pydarn/plotting/fan.py @@ -150,7 +150,7 @@ def plot_fan(cls, dmap_data: List[dict], ax=None, """ # Get scan numbers for each record beam_scan = build_scan(dmap_data) - + scan_time = None if isinstance(scan_index, dt.datetime): # loop through dmap_data records, dump a datetime # list where scans start @@ -227,7 +227,7 @@ def plot_fan(cls, dmap_data: List[dict], ax=None, slist=slist[good_data] temp_data=dmap_data[i.astype(int)][parameter][good_data] temp_ground=dmap_data[i.astype(int)]['gflg'][good_data] - + scan[slist, beam] = temp_data grndsct[slist, beam] = temp_ground # if there is no slist field this means partial record From 12887809daaeaf52cb5a96dd63f5fd42ec53cf16 Mon Sep 17 00:00:00 2001 From: mts299 Date: Wed, 30 Jun 2021 15:33:02 -0600 Subject: [PATCH 032/109] swapped the hemisphere and range gate value --- pydarn/utils/superdarn_radars.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pydarn/utils/superdarn_radars.py b/pydarn/utils/superdarn_radars.py index c25c01a38..0be4980d2 100644 --- a/pydarn/utils/superdarn_radars.py +++ b/pydarn/utils/superdarn_radars.py @@ -358,7 +358,7 @@ class SuperDARNRadars(): 'University of Alaska Fairbanks', Hemisphere.North, 75, read_hdw_file('ade')), 208: _Radar('Adak Island West', 'University of Alaska Fairbanks', - 75, Hemisphere.North, read_hdw_file('adw')), + Hemisphere.North, 75, read_hdw_file('adw')), 33: _Radar('Blackstone', 'Virginia Tech', Hemisphere.North, 100, read_hdw_file('bks')), 207: _Radar('Christmas Valley East', 'Dartmouth College', From 0754b370380633a7499a9c588f900b276839d0d0 Mon Sep 17 00:00:00 2001 From: mts299 Date: Mon, 5 Jul 2021 16:41:11 -0600 Subject: [PATCH 033/109] initial start --- test/unit/test_RTP.py | 6 ++++++ 1 file changed, 6 insertions(+) create mode 100644 test/unit/test_RTP.py diff --git a/test/unit/test_RTP.py b/test/unit/test_RTP.py new file mode 100644 index 000000000..83dc80689 --- /dev/null +++ b/test/unit/test_RTP.py @@ -0,0 +1,6 @@ +import pytest + +import pydarn + +class TestRTP(): + From 89ad942e61424f867c62bcae06eb955eb1752889 Mon Sep 17 00:00:00 2001 From: mts299 Date: Mon, 5 Jul 2021 16:42:26 -0600 Subject: [PATCH 034/109] switched all dtime to date in grid --- pydarn/plotting/grid.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/pydarn/plotting/grid.py b/pydarn/plotting/grid.py index 381e2049d..dd97c0b28 100644 --- a/pydarn/plotting/grid.py +++ b/pydarn/plotting/grid.py @@ -160,7 +160,7 @@ def plot_grid(cls, dmap_data: List[dict], record: int = 0, warnings.simplefilter("ignore") for stid in dmap_data[record]['stid']: _, aacgm_lons, _, _, ax =\ - Fan.plot_fov(stid, dtime, + Fan.plot_fov(stid, date, boundary=fov, lowlat=lowlat, line_color=line_color, @@ -173,7 +173,7 @@ def plot_grid(cls, dmap_data: List[dict], record: int = 0, # Hold the beam positions shifted_mlts = aacgm_lons[0, 0] - \ - (aacgmv2.convert_mlt(aacgm_lons[0, 0], dtime) * 15) + (aacgmv2.convert_mlt(aacgm_lons[0, 0], date) * 15) shifted_lons = data_lons - shifted_mlts thetas = np.radians(shifted_lons) rs = data_lats From f89f65e4df123187508208db1c37af6751156266 Mon Sep 17 00:00:00 2001 From: mts299 Date: Mon, 5 Jul 2021 16:51:42 -0600 Subject: [PATCH 035/109] removed bounndary --- pydarn/plotting/grid.py | 2 -- 1 file changed, 2 deletions(-) diff --git a/pydarn/plotting/grid.py b/pydarn/plotting/grid.py index dd97c0b28..4235a0e5c 100644 --- a/pydarn/plotting/grid.py +++ b/pydarn/plotting/grid.py @@ -161,10 +161,8 @@ def plot_grid(cls, dmap_data: List[dict], record: int = 0, for stid in dmap_data[record]['stid']: _, aacgm_lons, _, _, ax =\ Fan.plot_fov(stid, date, - boundary=fov, lowlat=lowlat, line_color=line_color, - fov_color=fov_color, radar_location=radar_location, radar_label=radar_label, ax=ax) From 6aa6c867bc0848044ee788ac909350d300a9c5c1 Mon Sep 17 00:00:00 2001 From: Marina Schmidt Date: Mon, 5 Jul 2021 18:29:02 -0600 Subject: [PATCH 036/109] Update pydarn/plotting/grid.py Co-authored-by: carleyjmartin <60905856+carleyjmartin@users.noreply.github.com> --- pydarn/plotting/grid.py | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/pydarn/plotting/grid.py b/pydarn/plotting/grid.py index 4235a0e5c..e8140a1b6 100644 --- a/pydarn/plotting/grid.py +++ b/pydarn/plotting/grid.py @@ -163,9 +163,7 @@ def plot_grid(cls, dmap_data: List[dict], record: int = 0, Fan.plot_fov(stid, date, lowlat=lowlat, line_color=line_color, - radar_location=radar_location, - radar_label=radar_label, - ax=ax) + ax=ax, **kwargs) data_lons = dmap_data[record]['vector.mlon'] data_lats = dmap_data[record]['vector.mlat'] From 77d17607e687b0b465d801fed10c890d137de1d1 Mon Sep 17 00:00:00 2001 From: mts299 Date: Mon, 5 Jul 2021 18:31:40 -0600 Subject: [PATCH 037/109] removed more plot_fov params in grid plot --- pydarn/plotting/grid.py | 2 -- 1 file changed, 2 deletions(-) diff --git a/pydarn/plotting/grid.py b/pydarn/plotting/grid.py index e8140a1b6..15d435958 100644 --- a/pydarn/plotting/grid.py +++ b/pydarn/plotting/grid.py @@ -161,8 +161,6 @@ def plot_grid(cls, dmap_data: List[dict], record: int = 0, for stid in dmap_data[record]['stid']: _, aacgm_lons, _, _, ax =\ Fan.plot_fov(stid, date, - lowlat=lowlat, - line_color=line_color, ax=ax, **kwargs) data_lons = dmap_data[record]['vector.mlon'] data_lats = dmap_data[record]['vector.mlat'] From c05a49e287613776b018e0c0d2cb5d81e5e92f15 Mon Sep 17 00:00:00 2001 From: mts299 Date: Tue, 6 Jul 2021 10:42:07 -0600 Subject: [PATCH 038/109] adding test data files --- test/data/test.fitacf.bz2 | Bin 0 -> 224464 bytes test/data/test.grd | Bin 0 -> 57004 bytes test/data/test.rawacf.bz2 | Bin 0 -> 1236017 bytes test/data/test_south.fitacf.bz2 | Bin 0 -> 171954 bytes 4 files changed, 0 insertions(+), 0 deletions(-) create mode 100644 test/data/test.fitacf.bz2 create mode 100644 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pydarn/plotting/rtp.py | 1 + 1 file changed, 1 insertion(+) diff --git a/pydarn/plotting/rtp.py b/pydarn/plotting/rtp.py index 9459d5ac6..e33841ad1 100644 --- a/pydarn/plotting/rtp.py +++ b/pydarn/plotting/rtp.py @@ -6,6 +6,7 @@ # Modifications: # 2021-05-12 Francis Tholley added gate2grounscatter to range-time plots # 2021-06-18 Marina Schmidt (SuperDARN Canada) fixed ground scatter colour bug +# 2021-07-06 Carley Martin added keyword to aid in rounding start times # Disclaimer: # pyDARN is under the LGPL v3 license found in the root directory LICENSE.md # Everyone is permitted to copy and distribute verbatim copies of this license From 6a845f470b02c8ba0142492b31f82ffbe32e4d9d Mon Sep 17 00:00:00 2001 From: carleyjmartin Date: Wed, 7 Jul 2021 10:10:21 -0600 Subject: [PATCH 040/109] removing remainder in tick separation calculation - works without --- pydarn/plotting/rtp.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/pydarn/plotting/rtp.py b/pydarn/plotting/rtp.py index e33841ad1..f7da34502 100644 --- a/pydarn/plotting/rtp.py +++ b/pydarn/plotting/rtp.py @@ -454,7 +454,7 @@ def plot_range_time(cls, dmap_data: List[dict], parameter: str = 'v', major_locator, _ = plt.xticks() dt = dates.num2date(major_locator[1]) - dates.num2date(major_locator[0]) - tick_sep = (dt.seconds//60)%60 + tick_sep = dt.seconds//60 if round_start: rounded_down_start_time = x[0] -\ @@ -723,7 +723,7 @@ def plot_time_series(cls, dmap_data: List[dict], linewidth=linewidth) major_locator, _ = plt.xticks() dt = dates.num2date(major_locator[1]) - dates.num2date(major_locator[0]) - tick_sep = (dt.seconds//60)%60 + tick_sep = dt.seconds//60 if round_start: rounded_down_start_time = x[0] -\ @@ -745,7 +745,7 @@ def plot_time_series(cls, dmap_data: List[dict], # TODO: may move this to its own function major_locator, _ = plt.xticks() dt = dates.num2date(major_locator[1]) - dates.num2date(major_locator[0]) - tick_sep = (dt.seconds//60)%60 + tick_sep = dt.seconds//60 if round_start: rounded_down_start_time = x[0] -\ From ba1e7dbbc63c9ee83dec26d5ee89030a9369706c Mon Sep 17 00:00:00 2001 From: mts299 Date: Wed, 7 Jul 2021 15:44:12 -0600 Subject: [PATCH 041/109] still working on how to work with fixtures --- test/test_RTP.py | 81 +++++++ test/unit/test_RTP.py | 6 - test/unit/test_rtp.py | 504 ------------------------------------------ 3 files changed, 81 insertions(+), 510 deletions(-) create mode 100644 test/test_RTP.py delete mode 100644 test/unit/test_RTP.py delete mode 100644 test/unit/test_rtp.py diff --git a/test/test_RTP.py b/test/test_RTP.py new file mode 100644 index 000000000..69c9223e9 --- /dev/null +++ b/test/test_RTP.py @@ -0,0 +1,81 @@ +import pytest + +import pydarn + +fitacf_data = pydarn.SuperDARNRead().read_dmap('data/test.fitacf') + +@pytest.fixture +def rawacf_data(): + """ read in fitacf data needed for the test functions """ + return pydarn.SuperDARNRead().read_dmap('data/test.rawacf') + + +def test_normal_range_time(): + """ this test will give bare minimum input needed for """ + pydarn.RTP.plot_range_time(fitacf_data) + + +def test_range_time_ground_scatter(): + """ """ + pass + +def test_range_time_ground_scatter(): + """ """ + pass + +def test_range_time_channel(): + """ """ + pass + +def test_range_time_axis_object(): + """ """ + pass + +def test_range_time_rawacf(): + """ """ + pass + +def test_time_series(): + """ """ + pass + +def test_time_series(): + """ """ + pass + +def test_time_series_axis(): + """ """ + pass + +def test_time_series_channel(): + """ """ + pass + +def test_time_series_cpid(): + """ """ + pass + +def test_summary(): + """ """ + pass + +def test_summary_channel(): + """ """ + pass + +def test_summary_groundscatter_str(): + """ """ + pass + +def test_summary_range_gates(): + """ """ + pass + +def test_summary_ground_scatter(): + """ """ + pass + +def test_summary_kwargs(): + """ """ + pass + diff --git a/test/unit/test_RTP.py b/test/unit/test_RTP.py deleted file mode 100644 index 83dc80689..000000000 --- a/test/unit/test_RTP.py +++ /dev/null @@ -1,6 +0,0 @@ -import pytest - -import pydarn - -class TestRTP(): - diff --git a/test/unit/test_rtp.py b/test/unit/test_rtp.py deleted file mode 100644 index c85a37ef7..000000000 --- a/test/unit/test_rtp.py +++ /dev/null @@ -1,504 +0,0 @@ -# Copyright 2019 SuperDARN Canada, University of Saskatchewan -# Authors: Marina Schmidt - -import matplotlib.pyplot as plt -import pytest -import unittest - -from datetime import datetime - -import pydarn -import pydarnio - -# TODO: discuss show vs. save image? Also how does this fit in python test? -@pytest.mark.skip -class TestRTP(unittest.TestCase): - """ - Testing class RTP, due to the plotting nature all plots will be saved - since there is return testing - """ - @classmethod - def setUpClass(cls): - """ - Runs once before all tests are ran. Loads and reads in the - fitacf file that will be used in all the unit tests. - """ - # fitacf_file = "../testfiles/20190203.0001.00.fhw.fitacf3" - fitacf_file = "../testfiles/20180220.C0.rkn.fitacf" - darn_read = pydarnio.DarnRead(fitacf_file) - cls.fitacf_data = darn_read.read_fitacf() - - def test_simple_time_series_plot(self): - """ - plots a simple elevation time-series plot for beam 7 - """ - pydarn.RTP.plot_time_series(self.fitacf_data, parameter='tfreq', - beam_num=7) - plt.ylabel('$MHz$') - plt.title("Simple tfreq plot for beam 7") - plt.show() - - def test_unknown_parameter_time_series_plot(self): - """ - Trying to plot a time-series plot using an unknown parameter called - dummy - Expected behaviour is a raised exception for unknown parameter dummy - """ - with self.assertRaises(pydarn.rtp_exceptions.RTPUnknownParameter): - pydarn.RTP.plot_time_series(self.fitacf_data, - parameter='dummy', - beam_num=7) - - def test_incorrect_plot_method_array_type_time_series_plot(self): - """ - Trying to plot a rang-time plot using the time-series plot method - Expected behaviour is a raised exception for Incorrect plotting method - """ - with self.assertRaises(pydarn.rtp_exceptions. - RTPIncorrectPlotMethodError): - pydarn.RTP.plot_time_series(self.fitacf_data, - parameter='v_e', - beam_num=7) - - def test_incorrect_plot_method_range_time_parameter_time_series_plot(self): - """ - Trying to plot a rang-time plot using the time-series plot method - Expected behaviour is a raised exception for Incorrect plotting method - """ - with self.assertRaises(pydarn.rtp_exceptions. - RTPIncorrectPlotMethodError): - pydarn.RTP.plot_time_series(self.fitacf_data, - parameter='elv', - beam_num=7) - - def test_multiplots_time_series_plots(self): - """ - plots multiple time-series plots using subplots - """ - plt.subplot(2, 1, 1) - plt.title("Multi subplot time-series plot for " - "sky noise and search noise") - pydarn.RTP.plot_time_series(self.fitacf_data, parameter='noise.sky', - beam_num=7, linestyle='--') - plt.ylabel("Sky Noise") - plt.subplot(2, 1, 2) - pydarn.RTP.plot_time_series(self.fitacf_data, parameter='noise.search', - beam_num=7, color='red') - plt.ylabel("search Noise") - plt.show() - - def test_axes_object_time_series_plot(self): - """ - plots elevation time-series plot using axes object - """ - fig, ax = plt.subplots() - pydarn.RTP.plot_time_series(self.fitacf_data, parameter='nave', - beam_num=7, ax=ax) - ax.set_xlabel("Date (UTC)") - fig.suptitle("Time sereies nace plot using axes object") - plt.show() - - def test_multiplots_axes_object_time_series(self): - """ - plots multi tranmission frequency plots using axes object - to plot differnt channels for twofsound mode - Note there is some missing data for when it switches - to themisscan which uses channel 0 - """ - fig, (ax1, ax2) = plt.subplots(2, 1) - pydarn.RTP.plot_time_series(self.fitacf_data, parameter='tfreq', - beam_num=7, channel=1, ax=ax1) - - pydarn.RTP.plot_time_series(self.fitacf_data, parameter='tfreq', - beam_num=7, channel=2, ax=ax2) - ax2.set_xlabel("Date (UTC)") - - fig.suptitle("Multiple axes plots of twofsounds " - "transmission frequencies") - plt.show() - - def test_overlapping_time_series_plot(self): - """ - Plots two overlapping time-series plots: noise sky and noise search - Includes then legend and using various parameters - """ - pydarn.RTP.plot_time_series(self.fitacf_data, parameter='noise.sky', - beam_num=7, scale='log', label='noise sky') - pydarn.RTP.plot_time_series(self.fitacf_data, parameter='noise.search', - beam_num=7, scale='log', - linestyle='--', color='red', - label='`noise search') - plt.legend() - plt.title("Overlapping sky noise and search noise") - plt.show() - - def test_noise_mean_date_fmt_time_series_plot(self): - """ - plots a simple elevation time-series plot for beam 7 - """ - pydarn.RTP.plot_time_series(self.fitacf_data, parameter='noise.mean', - beam_num=7, date_fmt="%H:%M") - plt.title("Simple noise mean plot for beam 7") - plt.show() - - def test_cp_time_series_plot(self): - """ - plots a cp ID time-series plot for beam 7 - """ - pydarn.RTP.plot_time_series(self.fitacf_data, parameter='cp', - beam_num=7) - plt.title("Simple cp ID plot for beam 7 with names") - plt.show() - - def test_cp_no_names_time_series_plot(self): - """ - plots a simple elevation time-series plot for beam 7 - """ - pydarn.RTP.plot_time_series(self.fitacf_data, parameter='cp', - beam_num=7, cp_name=False) - plt.title("Simple cp ID plot for beam 7 with no names") - plt.show() - - def test_no_data_cp_time_series_plot(self): - """ - raise an error of no data found because the time zone - are out of the time range specified. - """ - with self.assertRaises(pydarn.rtp_exceptions.RTPNoDataFoundError): - pydarn.RTP.plot_time_series(self.fitacf_data, parameter='cp', - beam_num=7, - start_time=datetime(2016, 12, 8, 0, 0), - end_time=datetime(2016, 12, 8, 8, 0)) - - def test_no_data_time_series_plot(self): - """ - raise an error of no data found because the time zone - are out of the time range specified. - """ - with self.assertRaises(pydarn.rtp_exceptions.RTPNoDataFoundError): - pydarn.RTP.plot_time_series(self.fitacf_data, parameter='tfreq', - beam_num=7, - start_time=datetime(2018, 12, 8, 0, 0), - end_time=datetime(2018, 12, 8, 8, 0)) - - def test_simple_range_time_plot(self): - """ - plots a simple elevation range-time plot for beam 7 - """ - pydarn.RTP.plot_range_time(self.fitacf_data, parameter='elv', - beam_num=7, - zmin=0, zmax=57) - plt.title("Simple Elevation no ground scatter, beam 7 Saskatoon plot") - plt.show() - - def test_groundscatter_range_time_plot(self): - """ - plots a simple elevation rang-time plot with ground scatter - """ - pydarn.RTP.plot_range_time(self.fitacf_data, parameter='elv', - beam_num=7, groundscatter=True) - plt.title("Elevation with Ground Scatter with beam 7") - plt.show() - - def test_groundscatter_color_range_time_plot(self): - """ - plots a simple elevation rang-time plot with ground scatter - """ - pydarn.RTP.plot_range_time(self.fitacf_data, parameter='p_l', - beam_num=7, groundscatter='r') - plt.title("Elevation with Ground Scatter with beam 7") - plt.show() - - def test_velocity_range_time_plot(self): - """ - plots a velocity range-time plot for - beam 5 with the reversed jet colour mapping - """ - pydarn.RTP.plot_range_time(self.fitacf_data, parameter='v', - beam_num=5, cmap='jet_r') - plt.title("Velocity with reversed jet color map") - plt.show() - - def test_velocity_error_range_time_plot(self): - """ - plots velocity error range time plot which is not a pre-set - parameter also added extra settings for the color bar. - """ - pydarn.RTP.plot_range_time(self.fitacf_data, parameter='v_e', - beam_num=5, cmap='jet_r', - colorbar_label="velocity error $m/s$", - zmin=-200, zmax=200) - plt.title("Non-standard parameter: Velocity error\n" - " with reversed jet color map") - plt.show() - - def test_power_range_time_plot(self): - """ - plots power range-time with ground scatter - """ - pydarn.RTP.plot_range_time(self.fitacf_data, parameter='p_l', - beam_num=7, groundscatter=True) - plt.title("Elevation with Ground Scatter") - plt.show() - - def test_multiplots_range_time_plt(self): - """ - plots multiple range-time plots using subplots - """ - plt.subplot(2, 1, 1) - plt.title("Subplots using plt method") - pydarn.RTP.plot_range_time(self.fitacf_data, parameter='elv', - beam_num=7) - plt.subplot(2, 1, 2) - pydarn.RTP.plot_range_time(self.fitacf_data, parameter='elv', - beam_num=15) - plt.show() - - def test_axes_object_range_time_plot(self): - """ - plots elevation range-time plot using axes object - """ - fig, ax = plt.subplots() - pydarn.RTP.plot_range_time(self.fitacf_data, parameter='elv', - beam_num=7, ax=ax) - ax.set_xlabel("Date (UTC)") - ax.set_ylabel("Elevation $degrees$") - fig.suptitle("RTP plot using Axes object") - plt.show() - - def test_multiplots_axes_object_range_time_plot(self): - """ - plots multi elevation plots using axes object - """ - fig, (ax1, ax2) = plt.subplots(2, 1) - pydarn.RTP.plot_range_time(self.fitacf_data, parameter='elv', - beam_num=7, ax=ax1) - ax1.set_ylabel("Elevation $degrees$") - - pydarn.RTP.plot_range_time(self.fitacf_data, parameter='elv', - beam_num=15, ax=ax2) - ax2.set_xlabel("Date (UTC)") - ax2.set_ylabel("Elevation $degrees$") - - fig.suptitle("RTP subplots using Axes Object") - plt.show() - - def test_multichannel_axes_object_range_time_plot(self): - """ - plots multi elevation plots using axes object - """ - fig, (ax1, ax2) = plt.subplots(2, 1) - pydarn.RTP.plot_range_time(self.fitacf_data, parameter='elv', - beam_num=7, ax=ax1, channel=1) - ax1.set_ylabel("ch. 1") - - pydarn.RTP.plot_range_time(self.fitacf_data, parameter='elv', - beam_num=7, ax=ax2, - channel=2) - ax2.set_xlabel("Date (UTC)") - ax2.set_ylabel("ch. 2") - - fig.suptitle("RTP subplots using Axes Object") - plt.show() - - def test_zero_data_to_plot(self): - """ - raise an error of no data found because the time zone - are out of the time range specified. - """ - with self.assertRaises(pydarn.rtp_exceptions.RTPNoDataFoundError): - pydarn.RTP.plot_range_time(self.fitacf_data, parameter='elv', - beam_num=7, - start_time=datetime(2018, 12, 8, 0, 0), - end_time=datetime(2018, 12, 8, 8, 0), - groundscatter=True) - - def test_gapped_data_range_time_plt(self): - """ - tests if gapped data would be plotted correctly. - Loops over the fitacf data and excludes some of - the records to make it a gapped set of data - """ - gapped_data = [] - for i in range(0, 500): - gapped_data.append(self.fitacf_data[i]) - for i in range(5000, 10000): - gapped_data.append(self.fitacf_data[i]) - - pydarn.RTP.plot_range_time(gapped_data, parameter='elv', - beam_num=7, groundscatter=True, - zmin=0, zmax=57) - plt.title("Gapped Elevation Data") - plt.show() - - def test_start_time_range_time_plot(self): - """ - plots an elevation range-time plot for a given time range - """ - pydarn.RTP.plot_range_time(self.fitacf_data, parameter='elv', - beam_num=7, - start_time=datetime(2018, 2, 20, 0, 0), - groundscatter=True) - plt.title("Time range between 00:00 - 08:00") - plt.show() - - def test_end_time_range_time_plot(self): - """ - plots an elevation range-time plot for a given time range - """ - pydarn.RTP.plot_range_time(self.fitacf_data, parameter='elv', - beam_num=7, - end_time=datetime(2018, 2, 20, 8, 0), - groundscatter=True) - plt.title("Time range between 00:00 - 08:00") - plt.show() - - def test_start_end_time_range_time_plot(self): - """ - plots an elevation range-time plot for a given time range - """ - pydarn.RTP.plot_range_time(self.fitacf_data, parameter='elv', - beam_num=7, - start_time=datetime(2018, 2, 20, 0, 0), - end_time=datetime(2018, 2, 20, 8, 0), - groundscatter=True) - plt.title("Time range between 00:00 - 08:00") - plt.show() - - def test_range_time_plot_for_all_beams(self): - """ - plots an elevation range-time plot for all beams - """ - pydarn.RTP.plot_range_time(self.fitacf_data, parameter='elv', - beam_num="all") - plt.title("Elevation plot of all beams") - plt.show() - - def test_summary_range_time_plot(self): - """ - plots four parameter range-time plots similar to a summary plots - """ - plt.subplot(4, 1, 1) - plt.title("Summary style plot") - pydarn.RTP.plot_range_time(self.fitacf_data, parameter='elv', - beam_num=7) - plt.subplot(4, 1, 2) - pydarn.RTP.plot_range_time(self.fitacf_data, parameter='p_l', - beam_num=7) - - plt.subplot(4, 1, 3) - pydarn.RTP.plot_range_time(self.fitacf_data, parameter='v', - beam_num=7, cmap='jet_r') - - plt.subplot(4, 1, 4) - pydarn.RTP.plot_range_time(self.fitacf_data, - parameter='w_l', - beam_num=7) - - self.assertEqual(plt.gcf().number, 1) - plt.show() - - def test_range_time_data_format_plot(self): - """ - plot a default rang-time plot with a different date - time format - """ - pydarn.RTP.plot_range_time(self.fitacf_data, date_fmt="%H:%M") - plt.xlabel("Date format HH:MM") - plt.title("Change in date format") - plt.show() - - def test_calling_scalar_parameter_for_range_time_plot(self): - """ - Raises an incorrect plot error because a scalar parameter is selected - for a range-time plot - """ - with self.assertRaises(pydarn.rtp_exceptions. - RTPIncorrectPlotMethodError): - pydarn.RTP.plot_range_time(self.fitacf_data, parameter='stid', - beam_num="all") - - def test_calling_non_existant_parameter(self): - """ - Raises an unknown parameter error because a dummy parameter is passed - that does not exist in the fitacf data - """ - with self.assertRaises(pydarn.rtp_exceptions.RTPUnknownParameter): - pydarn.RTP.plot_range_time(self.fitacf_data, parameter='dummy', - beam_num="all") - - def test_time_series_plot(self): - """ - plots a simple time series plot - """ - pydarn.RTP.plot_time_series(self.fitacf_data, parameter='tfreq', - beam_num=7) - plt.ylim(8, 18) - plt.title("Simple Frequency plot for Beam 7") - plt.show() - - def test_simple_summary_plot(self): - """ - plot default summary options - """ - pydarn.RTP.plot_summary(self.fitacf_data, beam_num=8) - plt.show() - - def test_grounscatter_with_summary_plot(self): - """ - plot groundscatter with summary plot - Should only show ground scatter on velocity - """ - pydarn.RTP.plot_summary(self.fitacf_data, beam_num=8, - groundscatter=True) - plt.show() - - def test_figsize_summary_plot(self): - """ - plot a summary plot with a different figure size - """ - pydarn.RTP.plot_summary(self.fitacf_data, beam_num=8, - figsize=(14, 8)) - plt.show() - - def test_boundary_wtih_summary_plot(self): - """ - plot a summary plot with a different boundary range for velocity - and nave - """ - - boundary = {'v': (-100, 100), - 'nave': (0, 100)} - pydarn.RTP.plot_summary(self.fitacf_data, beam_num=7, - boundary=boundary) - plt.show() - - def test_cmap_with_summary_plot(self): - """ - plot a normal summary plot with a different color map: jet - """ - pydarn.RTP.plot_summary(self.fitacf_data, beam_num=7, - cmaps={'v': 'jet'}) - plt.show() - - def test_no_plotting_elevation_summary_plot(self): - """ - plot a summary plot with elevation - """ - pydarn.RTP.plot_summary(self.fitacf_data, beam_num=8, - plot_elv=False) - - plt.show() - - def test_summary_plot_with_custom_title(self): - """ - plot summary plot with a custom title - """ - pydarn.RTP.plot_summary(self.fitacf_data, beam_num=8, - title="Summary plot of Rankin Inlet on Feb " - "22nd, 2018 for beam 8") - plt.show() - - -if __name__ == '__main__': - unittest.main() From 5196739e107ee4a5c179f636c547af7cc48607da Mon Sep 17 00:00:00 2001 From: carleyjmartin Date: Thu, 8 Jul 2021 11:59:05 -0600 Subject: [PATCH 042/109] tidy up comments, ensure minor ticks are lined up in between major ticks for unrounded option, round to previous hour or to previous tick interval if less than one hour --- pydarn/plotting/rtp.py | 65 ++++++++++++++++++++---------------------- 1 file changed, 31 insertions(+), 34 deletions(-) diff --git a/pydarn/plotting/rtp.py b/pydarn/plotting/rtp.py index f7da34502..cdb60366a 100644 --- a/pydarn/plotting/rtp.py +++ b/pydarn/plotting/rtp.py @@ -419,13 +419,6 @@ def plot_range_time(cls, dmap_data: List[dict], parameter: str = 'v', cmap=gs_color, norm=norm, **kwargs) # setup some standard axis information - # Upon request of Daniel Billet and others, I am rounding - # the time down so the plotting x-axis will show the origin - # time label - # Updated to give option to round down and make sure - # rounding to same frequency as plot axis ticks - # TODO: may need to be its own function - if ymax is None: ymax = np.max(y) @@ -450,22 +443,27 @@ def plot_range_time(cls, dmap_data: List[dict], parameter: str = 'v', tick_interval = 30 else: tick_interval = 1 - ax.xaxis.set_minor_locator(dates.MinuteLocator(interval=tick_interval)) - - major_locator, _ = plt.xticks() - dt = dates.num2date(major_locator[1]) - dates.num2date(major_locator[0]) - tick_sep = dt.seconds//60 + # byminute keyword makes sure that the ticks are situated at + # the minute or half hour marks, rather than at a set interval + ax.xaxis.set_minor_locator( + dates.MinuteLocator(byminute=range(0,60,tick_interval))) + # Upon request of Daniel Billet and others, I am rounding + # the time down so the plotting x-axis will show the origin + # time label + # Updated to give option to round down and make sure + # rounding to same frequency as plot axis ticks if less than 1 hour if round_start: + major_locator, _ = plt.xticks() + dt = dates.num2date(major_locator[1]) -\ + dates.num2date(major_locator[0]) + tick_sep = dt.seconds//60 rounded_down_start_time = x[0] -\ timedelta(minutes=x[0].minute % tick_sep, - seconds=x[0].second, - microseconds=x[0].microsecond) + seconds=x[0].second, + microseconds=x[0].microsecond) else: - rounded_down_start_time = x[0] -\ - timedelta(minutes=x[0].minute % 1, - seconds=x[0].second, - microseconds=x[0].microsecond) + rounded_down_start_time = x[0] ax.set_xlim([rounded_down_start_time, x[-1]]) ax.xaxis.set_major_formatter(dates.DateFormatter(date_fmt)) @@ -721,20 +719,18 @@ def plot_time_series(cls, dmap_data: List[dict], lines = ax.plot_date(x, my, fmt='k', tz=None, xdate=True, ydate=False, color=color, linestyle=linestyle, linewidth=linewidth) - major_locator, _ = plt.xticks() - dt = dates.num2date(major_locator[1]) - dates.num2date(major_locator[0]) - tick_sep = dt.seconds//60 if round_start: + major_locator, _ = plt.xticks() + dt = dates.num2date(major_locator[1]) -\ + dates.num2date(major_locator[0]) + tick_sep = dt.seconds//60 rounded_down_start_time = x[0] -\ timedelta(minutes=x[0].minute % tick_sep, seconds=x[0].second, microseconds=x[0].microsecond) else: - rounded_down_start_time = x[0] -\ - timedelta(minutes=x[0].minute % 1, - seconds=x[0].second, - microseconds=x[0].microsecond) + rounded_down_start_time = x[0] ax.set_xlim([rounded_down_start_time, x[-1]]) ax.set_yscale(scale) @@ -743,20 +739,18 @@ def plot_time_series(cls, dmap_data: List[dict], # Rounded the time down to show origin label upon # Daniel Billet and others request. # TODO: may move this to its own function - major_locator, _ = plt.xticks() - dt = dates.num2date(major_locator[1]) - dates.num2date(major_locator[0]) - tick_sep = dt.seconds//60 - if round_start: + major_locator, _ = plt.xticks() + dt = dates.num2date(major_locator[1]) -\ + dates.num2date(major_locator[0]) + tick_sep = dt.seconds//60 rounded_down_start_time = x[0] -\ timedelta(minutes=x[0].minute % tick_sep, seconds=x[0].second, microseconds=x[0].microsecond) else: - rounded_down_start_time = x[0] -\ - timedelta(minutes=x[0].minute % 1, - seconds=x[0].second, - microseconds=x[0].microsecond) + rounded_down_start_time = x[0] + ax.set_xlim([rounded_down_start_time, x[-1]]) ax.xaxis.set_major_formatter(dates.DateFormatter(date_fmt)) @@ -771,7 +765,10 @@ def plot_time_series(cls, dmap_data: List[dict], tick_interval = 30 else: tick_interval = 1 - ax.xaxis.set_minor_locator(dates.MinuteLocator(interval=tick_interval)) + # byminute keyword makes sure that the ticks are situated at + # the minute or half hour marks, rather than at a set interval + ax.xaxis.set_minor_locator( + dates.MinuteLocator(byminute=range(0,60,tick_interval))) ax.margins(x=0) ax.tick_params(axis='y', which='minor') From 60f12d9074aed4f7ef1fb3644dd8ab95f82556da Mon Sep 17 00:00:00 2001 From: mts299 Date: Thu, 8 Jul 2021 13:54:47 -0600 Subject: [PATCH 043/109] got it to work with pytest --- test/test_RTP.py | 11 ++++++----- 1 file changed, 6 insertions(+), 5 deletions(-) diff --git a/test/test_RTP.py b/test/test_RTP.py index 69c9223e9..2ff453527 100644 --- a/test/test_RTP.py +++ b/test/test_RTP.py @@ -1,16 +1,17 @@ +import bz2 import pytest import pydarn -fitacf_data = pydarn.SuperDARNRead().read_dmap('data/test.fitacf') - @pytest.fixture -def rawacf_data(): +def fitacf_data(): """ read in fitacf data needed for the test functions """ - return pydarn.SuperDARNRead().read_dmap('data/test.rawacf') + with bz2.open('data/test.fitacf.bz2') as fp: + fitacf_stream = fp.read() + return pydarn.SuperDARNRead(fitacf_stream, True).read_fitacf() -def test_normal_range_time(): +def test_normal_range_time(fitacf_data): """ this test will give bare minimum input needed for """ pydarn.RTP.plot_range_time(fitacf_data) From cb84c732f245f5eeff9cfa2e2318b77ab6747c28 Mon Sep 17 00:00:00 2001 From: mts299 Date: Thu, 8 Jul 2021 13:59:26 -0600 Subject: [PATCH 044/109] added disclaimer --- test/test_RTP.py | 14 ++++++++++++++ 1 file changed, 14 insertions(+) diff --git a/test/test_RTP.py b/test/test_RTP.py index 2ff453527..b0bf459ab 100644 --- a/test/test_RTP.py +++ b/test/test_RTP.py @@ -1,3 +1,17 @@ +# Copyright (C) 2020 SuperDARN Canada, University of Saskatchewan +# Author: Marina Schmidt +# +# Modifications: +# +# Disclaimer: +# pyDARN is under the LGPL v3 license found in the root directory LICENSE.md +# Everyone is permitted to copy and distribute verbatim copies of this license +# document, but changing it is not allowed. +# +# This version of the GNU Lesser General Public License incorporates the terms +# and conditions of version 3 of the GNU General Public License, +# supplemented by the additional permissions listed below. + import bz2 import pytest From 5f086bcdda5ce0de5cae2f4b498e0d0b2395b8f8 Mon Sep 17 00:00:00 2001 From: carleyjmartin Date: Thu, 8 Jul 2021 15:23:00 -0600 Subject: [PATCH 045/109] account for a zero tick spacing (small amounts of data) to avoid erroring out - if zero revert to the original way (each 15 min) --- pydarn/plotting/rtp.py | 34 ++++++++++++++++++++++++++-------- 1 file changed, 26 insertions(+), 8 deletions(-) diff --git a/pydarn/plotting/rtp.py b/pydarn/plotting/rtp.py index cdb60366a..2d41acbe2 100644 --- a/pydarn/plotting/rtp.py +++ b/pydarn/plotting/rtp.py @@ -458,8 +458,14 @@ def plot_range_time(cls, dmap_data: List[dict], parameter: str = 'v', dt = dates.num2date(major_locator[1]) -\ dates.num2date(major_locator[0]) tick_sep = dt.seconds//60 - rounded_down_start_time = x[0] -\ - timedelta(minutes=x[0].minute % tick_sep, + if tick_sep > 0: + rounded_down_start_time = x[0] -\ + timedelta(minutes=x[0].minute % tick_sep, + seconds=x[0].second, + microseconds=x[0].microsecond) + else: + rounded_down_start_time = x[0] -\ + timedelta(minutes=x[0].minute % 15, seconds=x[0].second, microseconds=x[0].microsecond) else: @@ -725,8 +731,14 @@ def plot_time_series(cls, dmap_data: List[dict], dt = dates.num2date(major_locator[1]) -\ dates.num2date(major_locator[0]) tick_sep = dt.seconds//60 - rounded_down_start_time = x[0] -\ - timedelta(minutes=x[0].minute % tick_sep, + if tick_sep > 0: + rounded_down_start_time = x[0] -\ + timedelta(minutes=x[0].minute % tick_sep, + seconds=x[0].second, + microseconds=x[0].microsecond) + else: + rounded_down_start_time = x[0] -\ + timedelta(minutes=x[0].minute % 15, seconds=x[0].second, microseconds=x[0].microsecond) else: @@ -744,10 +756,16 @@ def plot_time_series(cls, dmap_data: List[dict], dt = dates.num2date(major_locator[1]) -\ dates.num2date(major_locator[0]) tick_sep = dt.seconds//60 - rounded_down_start_time = x[0] -\ - timedelta(minutes=x[0].minute % tick_sep, - seconds=x[0].second, - microseconds=x[0].microsecond) + if tick_sep > 0: + rounded_down_start_time = x[0] -\ + timedelta(minutes=x[0].minute % tick_sep, + seconds=x[0].second, + microseconds=x[0].microsecond) + else: + rounded_down_start_time = x[0] -\ + timedelta(minutes=x[0].minute % 15, + seconds=x[0].second, + microseconds=x[0].microsecond) else: rounded_down_start_time = x[0] From 854deacab187b8c334a6b55f8c61c05c8a0d495e Mon Sep 17 00:00:00 2001 From: Francis Tholley Date: Fri, 9 Jul 2021 09:01:26 -0400 Subject: [PATCH 046/109] Fan plot update --- pydarn/plotting/fan.py | 7 +++++-- 1 file changed, 5 insertions(+), 2 deletions(-) diff --git a/pydarn/plotting/fan.py b/pydarn/plotting/fan.py index 1d82a0037..2b322abf8 100644 --- a/pydarn/plotting/fan.py +++ b/pydarn/plotting/fan.py @@ -61,7 +61,7 @@ def plot_fan(cls, dmap_data: List[dict], ax=None, parameter: str = 'v', cmap: str = None, groundscatter: bool = False, zmin: int = None, zmax: int = None, - colorbar: bool = True, + colorbar: bool = True, coords: object = Coords.SLANT_RANGE, colorbar_label: str = '', radar_location: bool = True, radar_label: bool = False, title: bool = True, fov_files: bool = False, **kwargs): @@ -366,6 +366,8 @@ def plot_fov(cls, stid: str, date: dt.datetime, rsep: int = 45, fan_shape = beam_corners_aacgm_lons.shape if ranges == []: ranges = [0, fan_shape[0]] + + # Work out shift due in MLT beam_corners_mlts = np.zeros((fan_shape[0], fan_shape[1])) mltshift = beam_corners_aacgm_lons[0, 0] - \ @@ -384,6 +386,7 @@ def plot_fov(cls, stid: str, date: dt.datetime, rsep: int = 45, # Get a polar projection using any kwarg input ax = Projections.axis_polar(**kwargs) + if boundary: # left boundary line @@ -455,7 +458,7 @@ def plot_radar_position(cls, stid: int, date: dt.datetime, theta_lon = np.radians(geomag_radar[1] - mltshift) r_lat = geomag_radar[0] # Plot a dot at the radar site - plt.scatter(theta_lon, r_lat, c=line_color, s=5) + plt.scatter(theta_lon, r_lat, c=line_color, linewidths=5, s=5) return @classmethod From dd3638a9e1a8450368e58b5e9b45875190f4471c Mon Sep 17 00:00:00 2001 From: Francis Tholley Date: Fri, 9 Jul 2021 15:21:23 -0400 Subject: [PATCH 047/109] lons and lats index fix --- pydarn/utils/radar_pos.py | 8 +++----- 1 file changed, 3 insertions(+), 5 deletions(-) diff --git a/pydarn/utils/radar_pos.py b/pydarn/utils/radar_pos.py index f175e5d66..862ef1e8f 100644 --- a/pydarn/utils/radar_pos.py +++ b/pydarn/utils/radar_pos.py @@ -119,11 +119,10 @@ def radar_fov(stid: int, rsep: int = 45, frang: int = 180, # Plus 1 is due to the fact fov files index at 1 so in the plotting # of the boundary there is a subtraction of 1 to offset this as python # converts to index of 0 which my code already accounts for - beam_corners_lats = np.zeros((ranges[1], max_beams+1)) - beam_corners_lons = np.zeros((ranges[1], max_beams+1)) - + beam_corners_lats = np.zeros((ranges[1]+1, max_beams+1)) + beam_corners_lons = np.zeros((ranges[1]+1, max_beams+1)) for beam in range(0, max_beams+1): - for gate in range(ranges[0], ranges[1]): + for gate in range(ranges[0], ranges[1]+1): lat, lon = geographic_cell_positions(stid, beam, gate, rsep, frang, height=300) @@ -137,7 +136,6 @@ def radar_fov(stid: int, rsep: int = 45, frang: int = 180, lon = geomag[1] beam_corners_lats[gate, beam] = lat beam_corners_lons[gate, beam] = lon - # Return geographic coordinates return beam_corners_lats, beam_corners_lons From a10783f7737335ce72ecb4add6c9464f8e696ebe Mon Sep 17 00:00:00 2001 From: Francis Tholley Date: Fri, 9 Jul 2021 15:42:06 -0400 Subject: [PATCH 048/109] Fan plot update --- pydarn/plotting/fan.py | 154 +++++++++++++++++++++++++++++++++----- pydarn/utils/radar_pos.py | 39 ++++++++++ 2 files changed, 174 insertions(+), 19 deletions(-) diff --git a/pydarn/plotting/fan.py b/pydarn/plotting/fan.py index 2b322abf8..1fe0c516a 100644 --- a/pydarn/plotting/fan.py +++ b/pydarn/plotting/fan.py @@ -35,6 +35,16 @@ SuperDARNRadars, Hemisphere, Projections) +# handle cartopy ad-hoc +try: + from cartopy.mpl import geoaxes + import cartopy.crs as ccrs + import cartopy.feature as cfeature + from cartopy.mpl.gridliner import LONGITUDE_FORMATTER, LATITUDE_FORMATTER + cartopyInstalled = True +except Exception: + cartopyInstalled = False + class Fan(): """ 'Fan', or 'Field-of-view' plots for SuperDARN FITACF data @@ -222,6 +232,7 @@ def plot_fan(cls, dmap_data: List[dict], ax=None, norm = colors.Normalize norm = norm(zmin, zmax) + for i in np.nditer(plot_beams): try: # get a list of gates where there is data @@ -366,25 +377,130 @@ def plot_fov(cls, stid: str, date: dt.datetime, rsep: int = 45, fan_shape = beam_corners_aacgm_lons.shape if ranges == []: ranges = [0, fan_shape[0]] - - - # Work out shift due in MLT - beam_corners_mlts = np.zeros((fan_shape[0], fan_shape[1])) - mltshift = beam_corners_aacgm_lons[0, 0] - \ - (aacgmv2.convert_mlt(beam_corners_aacgm_lons[0, 0], date) * 15) - beam_corners_mlts = beam_corners_aacgm_lons - mltshift - - # Hold the beam positions - thetas = np.radians(beam_corners_mlts) - rs = beam_corners_aacgm_lats - - # Setup plot - # This may screw up references - if ax is None: - # Get the hemisphere to pass to plotting projection - kwargs['hemisphere'] = SuperDARNRadars.radars[stid].hemisphere - # Get a polar projection using any kwarg input - ax = Projections.axis_polar(**kwargs) + + lons = np.concatenate( + (beam_corners_aacgm_lons[ranges[0], :], + beam_corners_aacgm_lons[ranges[0]:ranges[1], -1], + beam_corners_aacgm_lons[ranges[1], ::-1], + beam_corners_aacgm_lons[ranges[1]:ranges[0]:-1, 0], + [beam_corners_aacgm_lons[0, 0]])) + lats = np.concatenate( + (beam_corners_aacgm_lats[ranges[0], :], + beam_corners_aacgm_lats[ranges[0]:ranges[1], -1], + beam_corners_aacgm_lats[ranges[1], ::-1], + beam_corners_aacgm_lats[ranges[1]:ranges[0]:-1, 0], + [beam_corners_aacgm_lats[0, 0]])) + point=np.empty((2,186)) + + if coords == Coords.AACGM: + # Work out shift due in MLT + beam_corners_mlts = np.zeros((fan_shape[0], fan_shape[1])) + mltshift = beam_corners_aacgm_lons[0, 0] - \ + (aacgmv2.convert_mlt(beam_corners_aacgm_lons[0, 0], date) * 15) + beam_corners_mlts = beam_corners_aacgm_lons - mltshift + + # Hold the beam positions + thetas = np.radians(beam_corners_mlts) + rs = beam_corners_aacgm_lats + + # Setup plot + # This may screw up references + if ax is None: + # Get the hemisphere to pass to plotting projection + kwargs['hemisphere'] = SuperDARNRadars.radars[stid].hemisphere + # Get a polar projection using any kwarg input + ax = Projections.axis_polar(**kwargs) + # a single* call to pcolormesh to handle all the + # range gates in the scan + ax.pcolormesh(beam_corners_aacgm_lons, + beam_corners_aacgm_lats, + np.ma.masked_array(scan, ~scan.astype(bool)), + norm=norm, cmap=cmap) + # plot the groundscatter as grey fill + if groundscatter: + ax.pcolormesh(beam_corners_aacgm_lons, + beam_corners_aacgm_lats, + np.ma.masked_array(grndsct, + ~grndsct.astype(bool)), + norm=norm, cmap='Greys') + # *There exists a bug in matplotlib pcolormesh when plotting in + # polar projections that gets rid of the rgrid. Replot them here: + for lat in range(pole_lat, lowlat, -10 + if northern_hemisphere else 10): + ax.plot(np.linspace(0, np.radians(360), 360), + [lat] * 360, 'grey', alpha=0.6) + for lon in range(0, 360, 45): + ax.plot([np.radians(lon)] * 2, + [pole_lat, lowlat], 'grey', alpha=0.6) + + # the alternative is to plot using catropy + else: + # first, check if cartopy is installed: + if not cartopyInstalled: + raise plot_exceptions.CartopyMissingError() + # no need to shift any coords, let cartopy do that + # however, we do need to figure out + # how much to rotate the projection + deg_from_midnight = (date.hour + date.minute / 60) / 24 * 360 + if northern_hemisphere: + noon = -deg_from_midnight + else: + noon = 360 - deg_from_midnight + # handle none types or wrongly built axes + if type(ax) != geoaxes.GeoAxesSubplot: + proj = ccrs.SouthPolarStereo(noon, pole_lat) + fig = plt.figure(figsize=(12,12)) + ax = plt.subplot(111, projection=proj, aspect='auto') + grid_lines = ax.gridlines(draw_labels=True,linewidth=1, color='black',) + grid_lines.xformatter = LONGITUDE_FORMATTER + grid_lines.yformatter = LATITUDE_FORMATTER + ax.coastlines(resolution='110m') + ax.add_feature(cfeature.LAND, color='lightgrey') + ax.add_feature(cfeature.OCEAN, color = 'white') + + + geo = ccrs.Geodetic() + point = proj.transform_points(geo,lons, lats) + """ax.gridlines(ylocs=np.arange(pole_lat, 0, -5 + if northern_hemisphere else 5))""" + ax.pcolormesh(beam_corners_aacgm_lons, + beam_corners_aacgm_lats, + np.ma.masked_array(scan, ~scan.astype(bool)), + norm=norm, cmap=cmap, + transform=ccrs.PlateCarree()) + + if groundscatter: + ax.pcolormesh(beam_corners_aacgm_lons, + beam_corners_aacgm_lats, + np.ma.masked_array(grndsct, + ~grndsct.astype(bool)), + norm=norm, cmap='Greys', + transform=ccrs.PlateCarree()) + + # For some reason, cartopy won't allow extents + # much greater than this + # - there should probably be an option to allow autscaling + # - perhaps this is a projection issue? + extent = min(45e5, + (abs(proj.transform_point(noon, lowlat, + ccrs.PlateCarree()) + [1]))) + ax.set_extent(extents=(-extent, extent, -extent, extent), + crs=proj) + #ax.set_extent([-180, 90, 0, 0], crs=ccrs.PlateCarree()) + else: + ax.pcolormesh(beam_corners_aacgm_lons, + beam_corners_aacgm_lats, + np.ma.masked_array(scan, ~scan.astype(bool)), + norm=norm, cmap=cmap, + transform=ccrs.PlateCarree()) + extent = min(45e5, + (abs(proj.transform_point(noon, lowlat, + ccrs.PlateCarree()) + [1]))) + ax.set_extent(extents=(-extent, extent, -extent, extent), + crs=proj) + #ax.set_extent([-180, 90, 0, 0], crs=ccrs.PlateCarree()) if boundary: diff --git a/pydarn/utils/radar_pos.py b/pydarn/utils/radar_pos.py index 862ef1e8f..fb6563a2c 100644 --- a/pydarn/utils/radar_pos.py +++ b/pydarn/utils/radar_pos.py @@ -75,6 +75,7 @@ def radar_fov(stid: int, rsep: int = 45, frang: int = 180, for range gate corners """ # Locate base PyDARN directory + if read_file: my_path = os.path.abspath(os.path.dirname(__file__)) base_path = os.path.join(my_path, '..') @@ -449,6 +450,44 @@ def cell_geocentric_coordinates(lat: float, lon: float, rho: float, lat = np.pi/2 - np.arccos(global_z/rho) if global_x == 0 and global_y == 0: lon = 0 + + my_path = os.path.abspath(os.path.dirname(__file__)) + base_path = os.path.join(my_path, '..') + + # Find files holding radar beam/gate locations + beam_lats = base_path+'/radar_fov_files/' + \ + str(stid).zfill(3)+'_lats.txt' + beam_lons = base_path+'/radar_fov_files/' + \ + str(stid).zfill(3)+'_lons.txt' + + # Read in geographic coordinates + beam_corners_lats = np.loadtxt(beam_lats) + beam_corners_lons = np.loadtxt(beam_lons) + # AACGMv2 conversion + if coords == Coords.AACGM: + if not date: + date = dt.datetime.now() + + # Initialise arrays + fan_shape = beam_corners_lons.shape + beam_corners_aacgm_lons = \ + np.zeros((fan_shape[0], fan_shape[1])) + beam_corners_aacgm_lats = \ + np.zeros((fan_shape[0], fan_shape[1])) + + for x in range(fan_shape[0]): + for y in range(fan_shape[1]): + # Conversion + geomag = np.array(aacgmv2. + get_aacgm_coord(beam_corners_lats[x, y], + beam_corners_lons[x, y], + 250, date)) + beam_corners_aacgm_lats[x, y] = geomag[0] + beam_corners_aacgm_lons[x, y] = geomag[1] + + # Return AACGMv2 latitudes and longitudes + return beam_corners_aacgm_lats, beam_corners_aacgm_lons + else: lon = np.arctan2(global_y, global_x) From 6989c472b737a814a8104a50af76716f0a6d52cf Mon Sep 17 00:00:00 2001 From: Francis Tholley Date: Sun, 11 Jul 2021 14:10:13 -0400 Subject: [PATCH 049/109] Working on Fan plot --- pydarn/plotting/fan.py | 305 ++++++++++++++++++++++---------------- pydarn/utils/radar_pos.py | 43 +----- 2 files changed, 178 insertions(+), 170 deletions(-) diff --git a/pydarn/plotting/fan.py b/pydarn/plotting/fan.py index 1fe0c516a..de82dcdc4 100644 --- a/pydarn/plotting/fan.py +++ b/pydarn/plotting/fan.py @@ -68,7 +68,7 @@ def plot_fan(cls, dmap_data: List[dict], ax=None, scan_index: Union[int, dt.datetime] = 1, ranges: List = None, boundary: bool = True, line_color: str = 'black', alpha: int = 0.5, - parameter: str = 'v', cmap: str = None, + parameter: str = 'v', lowlat: int = 30, cmap: str = None, groundscatter: bool = False, zmin: int = None, zmax: int = None, colorbar: bool = True, coords: object = Coords.SLANT_RANGE, @@ -197,7 +197,7 @@ def plot_fan(cls, dmap_data: List[dict], ax=None, if ranges is None: ranges = [0, dmap_data[0]['nrang']] - beam_corners_aacgm_lats, beam_corners_aacgm_lons, thetas, rs, ax = \ + """beam_corners_aacgm_lats, beam_corners_aacgm_lons, thetas, rs, ax = \ cls.plot_fov(stid=dmap_data[0]['stid'], date=date, ranges=ranges, boundary=boundary, rsep=dmap_data[0]['rsep'], @@ -205,8 +205,19 @@ def plot_fan(cls, dmap_data: List[dict], ax=None, line_color=line_color, alpha=alpha, radar_label=radar_label, radar_location=radar_location, ax=ax, - fov_files=fov_files, coords=coords, **kwargs) + fov_files=fov_files, coords=coords, **kwargs)""" + # Get radar beam/gate locations + beam_corners_aacgm_lats, beam_corners_aacgm_lons = \ + radar_fov(stid=dmap_data[0]['stid'], rsep=dmap_data[0]['rsep'], frang=dmap_data[0]['frang'], coords=coords, ranges=ranges, + date=date, max_beams=None, read_file=fov_files) + + # Where in the world are we + if np.all(beam_corners_aacgm_lats > 0): + northern_hemisphere = True + else: + northern_hemisphere = False + pole_lat = 90 if northern_hemisphere else -90 fan_shape = beam_corners_aacgm_lons.shape # Get range-gate data and groundscatter array for given scan @@ -254,7 +265,128 @@ def plot_fan(cls, dmap_data: List[dict], ax=None, # if there is no slist field this means partial record except KeyError: continue - # Begin plotting by iterating over ranges and beams + + lons = np.concatenate( + (beam_corners_aacgm_lons[ranges[0], :], + beam_corners_aacgm_lons[ranges[0]:ranges[1], -1], + beam_corners_aacgm_lons[ranges[1], ::-1], + beam_corners_aacgm_lons[ranges[1]:ranges[0]:-1, 0], + [beam_corners_aacgm_lons[0, 0]])) + lats = np.concatenate( + (beam_corners_aacgm_lats[ranges[0], :], + beam_corners_aacgm_lats[ranges[0]:ranges[1], -1], + beam_corners_aacgm_lats[ranges[1], ::-1], + beam_corners_aacgm_lats[ranges[1]:ranges[0]:-1, 0], + [beam_corners_aacgm_lats[0, 0]])) + point=np.empty((2,186)) + + if coords == Coords.AACGM: + # Work out shift due in MLT + beam_corners_mlts = np.zeros((fan_shape[0], fan_shape[1])) + mltshift = beam_corners_aacgm_lons[0, 0] - \ + (aacgmv2.convert_mlt(beam_corners_aacgm_lons[0, 0], date) * 15) + beam_corners_mlts = beam_corners_aacgm_lons - mltshift + + # Hold the beam positions + thetas = np.radians(beam_corners_mlts) + rs = beam_corners_aacgm_lats + + # Setup plot + # This may screw up references + if ax is None: + # Get the hemisphere to pass to plotting projection + kwargs['hemisphere'] = SuperDARNRadars.radars[stid].hemisphere + # Get a polar projection using any kwarg input + ax = Projections.axis_polar(**kwargs) + # plot the groundscatter as grey fill + if groundscatter: + ax.pcolormesh(beam_corners_aacgm_lons, + beam_corners_aacgm_lats, + np.ma.masked_array(grndsct, + ~grndsct.astype(bool)), + norm=norm, cmap='Greys') + # *There exists a bug in matplotlib pcolormesh when plotting in + # polar projections that gets rid of the rgrid. Replot them here: + for lat in range(pole_lat, lowlat, -10 + if northern_hemisphere else 10): + ax.plot(np.linspace(0, np.radians(360), 360), + [lat] * 360, 'grey', alpha=0.6) + for lon in range(0, 360, 45): + ax.plot([np.radians(lon)] * 2, + [pole_lat, lowlat], 'grey', alpha=0.6) + + # the alternative is to plot using catropy + else: + # first, check if cartopy is installed: + if not cartopyInstalled: + raise plot_exceptions.CartopyMissingError() + # no need to shift any coords, let cartopy do that + # however, we do need to figure out + # how much to rotate the projection + deg_from_midnight = (date.hour + date.minute / 60) / 24 * 360 + if northern_hemisphere: + noon = -deg_from_midnight + else: + noon = 360 - deg_from_midnight + # handle none types or wrongly built axes + if type(ax) != geoaxes.GeoAxesSubplot: + proj = ccrs.SouthPolarStereo(noon, pole_lat) + fig = plt.figure(figsize=(12,12)) + ax = plt.subplot(111, projection=proj, aspect='auto') + grid_lines = ax.gridlines(draw_labels=True,linewidth=1, color='black',) + grid_lines.xformatter = LONGITUDE_FORMATTER + grid_lines.yformatter = LATITUDE_FORMATTER + ax.coastlines(resolution='110m') + ax.add_feature(cfeature.LAND, color='lightgrey') + ax.add_feature(cfeature.OCEAN, color = 'white') + + + geo = ccrs.Geodetic() + point = proj.transform_points(geo,lons, lats) + """ax.gridlines(ylocs=np.arange(pole_lat, 0, -5 + if northern_hemisphere else 5))""" + ax.pcolormesh(beam_corners_aacgm_lons, + beam_corners_aacgm_lats, + np.ma.masked_array(scan, ~scan.astype(bool)), + norm=norm, cmap=cmap, + transform=ccrs.PlateCarree()) + + if groundscatter: + ax.pcolormesh(beam_corners_aacgm_lons, + beam_corners_aacgm_lats, + np.ma.masked_array(grndsct, + ~grndsct.astype(bool)), + norm=norm, cmap='Greys', + transform=ccrs.PlateCarree()) + + # For some reason, cartopy won't allow extents + # much greater than this + # - there should probably be an option to allow autscaling + # - perhaps this is a projection issue? + extent = min(45e5, + (abs(proj.transform_point(noon, lowlat, + ccrs.PlateCarree()) + [1]))) + """ax.set_extent(extents=(-extent, extent, -extent, extent), + crs=proj)""" + #ax.set_extent([-180, 90, 0, 0], crs=ccrs.PlateCarree()) + else: + ax.pcolormesh(beam_corners_aacgm_lons, + beam_corners_aacgm_lats, + np.ma.masked_array(scan, ~scan.astype(bool)), + norm=norm, cmap=cmap, + transform=ccrs.PlateCarree()) + extent = min(45e5, + (abs(proj.transform_point(noon, lowlat, + ccrs.PlateCarree()) + [1]))) + """ax.set_extent(extents=(-extent, extent, -extent, extent), + crs=proj)""" + #ax.set_extent([-180, 90, 0, 0], crs=ccrs.PlateCarree()) + + + + """# Begin plotting by iterating over ranges and beams thetas = thetas[ranges[0]:ranges[1]] rs = rs[ranges[0]:ranges[1]] scan = scan[ranges[0]:ranges[1]-1] @@ -273,8 +405,28 @@ def plot_fan(cls, dmap_data: List[dict], ax=None, azm = np.linspace(0, 2 * np.pi, 100) r, th = np.meshgrid(rs, azm) plt.plot(azm, r, color='k', ls='none') - plt.grid() - + plt.grid()""" + if boundary: + # create flat arrays of the lat/lon points for the FOV + # (bottom, left, -top, -right) + if coords==Coords.AACGM: + boundary_lons = np.concatenate( + (beam_corners_aacgm_lons[ranges[0], :], + beam_corners_aacgm_lons[ranges[0]:ranges[1], -1], + beam_corners_aacgm_lons[ranges[1], ::-1], + beam_corners_aacgm_lons[ranges[1]:ranges[0]:-1, 0], + [beam_corners_aacgm_lons[0, 0]])) + boundary_lats = np.concatenate( + (beam_corners_aacgm_lats[ranges[0], :], + beam_corners_aacgm_lats[ranges[0]:ranges[1], -1], + beam_corners_aacgm_lats[ranges[1], ::-1], + beam_corners_aacgm_lats[ranges[1]:ranges[0]:-1, 0], + [beam_corners_aacgm_lats[0, 0]])) + #plot the boundary + plt.plot(boundary_lons, boundary_lats, color=line_color, linewidth=1) + else: + # plot the boundary + plt.plot(point[:,0], point[:,1], color=line_color, linewidth=1) # Create color bar if True if colorbar is True: mappable = cm.ScalarMappable(norm=norm, cmap=cmap) @@ -378,130 +530,23 @@ def plot_fov(cls, stid: str, date: dt.datetime, rsep: int = 45, if ranges == []: ranges = [0, fan_shape[0]] - lons = np.concatenate( - (beam_corners_aacgm_lons[ranges[0], :], - beam_corners_aacgm_lons[ranges[0]:ranges[1], -1], - beam_corners_aacgm_lons[ranges[1], ::-1], - beam_corners_aacgm_lons[ranges[1]:ranges[0]:-1, 0], - [beam_corners_aacgm_lons[0, 0]])) - lats = np.concatenate( - (beam_corners_aacgm_lats[ranges[0], :], - beam_corners_aacgm_lats[ranges[0]:ranges[1], -1], - beam_corners_aacgm_lats[ranges[1], ::-1], - beam_corners_aacgm_lats[ranges[1]:ranges[0]:-1, 0], - [beam_corners_aacgm_lats[0, 0]])) - point=np.empty((2,186)) - - if coords == Coords.AACGM: - # Work out shift due in MLT - beam_corners_mlts = np.zeros((fan_shape[0], fan_shape[1])) - mltshift = beam_corners_aacgm_lons[0, 0] - \ - (aacgmv2.convert_mlt(beam_corners_aacgm_lons[0, 0], date) * 15) - beam_corners_mlts = beam_corners_aacgm_lons - mltshift - - # Hold the beam positions - thetas = np.radians(beam_corners_mlts) - rs = beam_corners_aacgm_lats - - # Setup plot - # This may screw up references - if ax is None: - # Get the hemisphere to pass to plotting projection - kwargs['hemisphere'] = SuperDARNRadars.radars[stid].hemisphere - # Get a polar projection using any kwarg input - ax = Projections.axis_polar(**kwargs) - # a single* call to pcolormesh to handle all the - # range gates in the scan - ax.pcolormesh(beam_corners_aacgm_lons, - beam_corners_aacgm_lats, - np.ma.masked_array(scan, ~scan.astype(bool)), - norm=norm, cmap=cmap) - # plot the groundscatter as grey fill - if groundscatter: - ax.pcolormesh(beam_corners_aacgm_lons, - beam_corners_aacgm_lats, - np.ma.masked_array(grndsct, - ~grndsct.astype(bool)), - norm=norm, cmap='Greys') - # *There exists a bug in matplotlib pcolormesh when plotting in - # polar projections that gets rid of the rgrid. Replot them here: - for lat in range(pole_lat, lowlat, -10 - if northern_hemisphere else 10): - ax.plot(np.linspace(0, np.radians(360), 360), - [lat] * 360, 'grey', alpha=0.6) - for lon in range(0, 360, 45): - ax.plot([np.radians(lon)] * 2, - [pole_lat, lowlat], 'grey', alpha=0.6) - - # the alternative is to plot using catropy - else: - # first, check if cartopy is installed: - if not cartopyInstalled: - raise plot_exceptions.CartopyMissingError() - # no need to shift any coords, let cartopy do that - # however, we do need to figure out - # how much to rotate the projection - deg_from_midnight = (date.hour + date.minute / 60) / 24 * 360 - if northern_hemisphere: - noon = -deg_from_midnight - else: - noon = 360 - deg_from_midnight - # handle none types or wrongly built axes - if type(ax) != geoaxes.GeoAxesSubplot: - proj = ccrs.SouthPolarStereo(noon, pole_lat) - fig = plt.figure(figsize=(12,12)) - ax = plt.subplot(111, projection=proj, aspect='auto') - grid_lines = ax.gridlines(draw_labels=True,linewidth=1, color='black',) - grid_lines.xformatter = LONGITUDE_FORMATTER - grid_lines.yformatter = LATITUDE_FORMATTER - ax.coastlines(resolution='110m') - ax.add_feature(cfeature.LAND, color='lightgrey') - ax.add_feature(cfeature.OCEAN, color = 'white') - - - geo = ccrs.Geodetic() - point = proj.transform_points(geo,lons, lats) - """ax.gridlines(ylocs=np.arange(pole_lat, 0, -5 - if northern_hemisphere else 5))""" - ax.pcolormesh(beam_corners_aacgm_lons, - beam_corners_aacgm_lats, - np.ma.masked_array(scan, ~scan.astype(bool)), - norm=norm, cmap=cmap, - transform=ccrs.PlateCarree()) - - if groundscatter: - ax.pcolormesh(beam_corners_aacgm_lons, - beam_corners_aacgm_lats, - np.ma.masked_array(grndsct, - ~grndsct.astype(bool)), - norm=norm, cmap='Greys', - transform=ccrs.PlateCarree()) - - # For some reason, cartopy won't allow extents - # much greater than this - # - there should probably be an option to allow autscaling - # - perhaps this is a projection issue? - extent = min(45e5, - (abs(proj.transform_point(noon, lowlat, - ccrs.PlateCarree()) - [1]))) - ax.set_extent(extents=(-extent, extent, -extent, extent), - crs=proj) - #ax.set_extent([-180, 90, 0, 0], crs=ccrs.PlateCarree()) - else: - ax.pcolormesh(beam_corners_aacgm_lons, - beam_corners_aacgm_lats, - np.ma.masked_array(scan, ~scan.astype(bool)), - norm=norm, cmap=cmap, - transform=ccrs.PlateCarree()) - extent = min(45e5, - (abs(proj.transform_point(noon, lowlat, - ccrs.PlateCarree()) - [1]))) - ax.set_extent(extents=(-extent, extent, -extent, extent), - crs=proj) - #ax.set_extent([-180, 90, 0, 0], crs=ccrs.PlateCarree()) - + # Work out shift due in MLT + beam_corners_mlts = np.zeros((fan_shape[0], fan_shape[1])) + mltshift = beam_corners_aacgm_lons[0, 0] - \ + (aacgmv2.convert_mlt(beam_corners_aacgm_lons[0, 0], date) * 15) + beam_corners_mlts = beam_corners_aacgm_lons - mltshift + + # Hold the beam positions + thetas = np.radians(beam_corners_mlts) + rs = beam_corners_aacgm_lats + + # Setup plot + # This may screw up references + if ax is None: + # Get the hemisphere to pass to plotting projection + kwargs['hemisphere'] = SuperDARNRadars.radars[stid].hemisphere + # Get a polar projection using any kwarg input + ax = Projections.axis_polar(**kwargs) if boundary: # left boundary line diff --git a/pydarn/utils/radar_pos.py b/pydarn/utils/radar_pos.py index fb6563a2c..b48f94223 100644 --- a/pydarn/utils/radar_pos.py +++ b/pydarn/utils/radar_pos.py @@ -75,7 +75,6 @@ def radar_fov(stid: int, rsep: int = 45, frang: int = 180, for range gate corners """ # Locate base PyDARN directory - if read_file: my_path = os.path.abspath(os.path.dirname(__file__)) base_path = os.path.join(my_path, '..') @@ -122,8 +121,9 @@ def radar_fov(stid: int, rsep: int = 45, frang: int = 180, # converts to index of 0 which my code already accounts for beam_corners_lats = np.zeros((ranges[1]+1, max_beams+1)) beam_corners_lons = np.zeros((ranges[1]+1, max_beams+1)) + for beam in range(0, max_beams+1): - for gate in range(ranges[0], ranges[1]+1): + for gate in range(ranges[0], ranges[1]): lat, lon = geographic_cell_positions(stid, beam, gate, rsep, frang, height=300) @@ -137,6 +137,7 @@ def radar_fov(stid: int, rsep: int = 45, frang: int = 180, lon = geomag[1] beam_corners_lats[gate, beam] = lat beam_corners_lons[gate, beam] = lon + # Return geographic coordinates return beam_corners_lats, beam_corners_lons @@ -450,44 +451,6 @@ def cell_geocentric_coordinates(lat: float, lon: float, rho: float, lat = np.pi/2 - np.arccos(global_z/rho) if global_x == 0 and global_y == 0: lon = 0 - - my_path = os.path.abspath(os.path.dirname(__file__)) - base_path = os.path.join(my_path, '..') - - # Find files holding radar beam/gate locations - beam_lats = base_path+'/radar_fov_files/' + \ - str(stid).zfill(3)+'_lats.txt' - beam_lons = base_path+'/radar_fov_files/' + \ - str(stid).zfill(3)+'_lons.txt' - - # Read in geographic coordinates - beam_corners_lats = np.loadtxt(beam_lats) - beam_corners_lons = np.loadtxt(beam_lons) - # AACGMv2 conversion - if coords == Coords.AACGM: - if not date: - date = dt.datetime.now() - - # Initialise arrays - fan_shape = beam_corners_lons.shape - beam_corners_aacgm_lons = \ - np.zeros((fan_shape[0], fan_shape[1])) - beam_corners_aacgm_lats = \ - np.zeros((fan_shape[0], fan_shape[1])) - - for x in range(fan_shape[0]): - for y in range(fan_shape[1]): - # Conversion - geomag = np.array(aacgmv2. - get_aacgm_coord(beam_corners_lats[x, y], - beam_corners_lons[x, y], - 250, date)) - beam_corners_aacgm_lats[x, y] = geomag[0] - beam_corners_aacgm_lons[x, y] = geomag[1] - - # Return AACGMv2 latitudes and longitudes - return beam_corners_aacgm_lats, beam_corners_aacgm_lons - else: lon = np.arctan2(global_y, global_x) From 95946bfa2aaa90e7ae6e2cb52ce6713182e97d44 Mon Sep 17 00:00:00 2001 From: mts299 Date: Mon, 12 Jul 2021 14:33:29 -0600 Subject: [PATCH 050/109] started adding tests --- test/test_RTP.py | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/test/test_RTP.py b/test/test_RTP.py index b0bf459ab..314c5e250 100644 --- a/test/test_RTP.py +++ b/test/test_RTP.py @@ -25,6 +25,10 @@ def fitacf_data(): return pydarn.SuperDARNRead(fitacf_stream, True).read_fitacf() +@pytest.mark.parametrize('ggroundscatter', [True, 'grey', 'yello', False]) +@pytest.mark.parametrize('beam', [0, 1, 7, 15]) +@pytest.mark.parametrize('parameter', ['v', 'p_l', 'w_l']) +@pytest.mark.parametrize() def test_normal_range_time(fitacf_data): """ this test will give bare minimum input needed for """ pydarn.RTP.plot_range_time(fitacf_data) From bfdccccf64a2e6d04205890472fd8b657203056b Mon Sep 17 00:00:00 2001 From: mts299 Date: Mon, 12 Jul 2021 14:51:26 -0600 Subject: [PATCH 051/109] updated documents for patch release --- .zenodo.json | 32 +++++++++++--------------------- README.md | 14 ++++++-------- setup.py | 2 +- 3 files changed, 18 insertions(+), 30 deletions(-) diff --git a/.zenodo.json b/.zenodo.json index 906b0df1b..5ccf1a277 100644 --- a/.zenodo.json +++ b/.zenodo.json @@ -8,34 +8,21 @@ "name": "Schmidt, M.T.", "orcid": "0000-0002-3265-977X" }, - { "affiliation": "University of Scranton", - "name": "Tholley, F." - }, { - "affiliation": "University of Scranton", - "name": "Frissell, N.", - "orcid": "0000-0002-8398-4222" + "affiliation": "University of Saskatchewan", + "name": "Martin, C.J.", + "orcid": "0000-0002-8278-9783" }, { "affiliation": "University of Saskatchewan", "name": "Billett, D.D.", "orcid": "0000-0002-8905-8609" }, - { - "affiliation": "University of Saskatchewan", - "name": "Martin, C.J.", - "orcid": "0000-0002-8278-9783" - }, { "affiliation": "The University Centre in Svalbard", "name": "Bland, E.C.", "orcid": "0000-0002-0252-0400" }, - { - "affiliation": "US Naval Research Laboratory", - "name": "Burrell, A.G.", - "orcid": "0000-0001-8875-9326" - }, { "affiliation": "Virginia Tech", "name": "Coyle, S.", @@ -45,6 +32,11 @@ "affiliation": "University of Saskatchewan", "name": "Detwiller, M.H." }, + { + "affiliation": "University of Scranton", + "name": "Frissell, N.", + "orcid": "0000-0002-8398-4222" + }, { "affiliation": "The University Centre in Svalbard", "name": "Herlingshaw, K.", @@ -55,11 +47,6 @@ "name": "Huyghebaert, D.", "orcid": "0000-0002-4257-4235" }, - { - "affiliation": "SRI International", - "name": "Reimer, A.S.", - "orcid": "0000-0002-4621-3453" - }, { "affiliation": "University of Bergen", "name": "Reistad, J.P.", @@ -68,5 +55,8 @@ { "affiliation": "University of Saskatchewan", "name": "Roberston, C.R." + }, + { "affiliation": "University of Scranton", + "name": "Tholley, F." }] } diff --git a/README.md b/README.md index 7ce46b1ed..f5bc261a1 100644 --- a/README.md +++ b/README.md @@ -12,16 +12,14 @@ Python data visualization library for the Super Dual Auroral Radar Network (Supe ## Changelog -## Version 2.1 - Release! +## Version 2.1.1 - Release! -pyDARN release v2.1 includes the following features: -- Updates to Fan plots -- Updates to FOV plots -- **NEW** Grid Plot -- **NEW** Ground-Scatter Mapped Range option for Range-Time plots -- **NEW** `Coords` enumerator for selecting coordinate system -- updated documentation +pyDARN release v2.1.1 includes the following features: +- **New** Time-series plots with vector parameters (velocity, SNR, Spectral width, and Elevaion) +- Bug fix in Fan plots +- Bug fix in Range-time plots with groundscatter +- Bug fix in Range-time plots with time-shifting !!! Warning `slant` option in `plot_range-time` and `plot_summary` is deprecated now uses `coords` diff --git a/setup.py b/setup.py index b01f55918..9338161ef 100644 --- a/setup.py +++ b/setup.py @@ -56,7 +56,7 @@ def run(self): setup( cmdclass={'install': initialize_submodules, 'develop': update_submodules}, name="pydarn", - version="2.1", + version="2.1.1", long_description=long_description, long_description_content_type='text/markdown', description="Data visualization library for SuperDARN data", From 323f9ad1c7fc3775319bb4d5b42336989ba83664 Mon Sep 17 00:00:00 2001 From: mts299 Date: Tue, 13 Jul 2021 13:54:41 -0600 Subject: [PATCH 052/109] fixed kwargs conflictss --- pydarn/plotting/fan.py | 14 ++++---------- pydarn/utils/radar_pos.py | 4 ++-- 2 files changed, 6 insertions(+), 12 deletions(-) diff --git a/pydarn/plotting/fan.py b/pydarn/plotting/fan.py index bc3140cb4..c325b8a2d 100644 --- a/pydarn/plotting/fan.py +++ b/pydarn/plotting/fan.py @@ -265,7 +265,8 @@ def plot_fov(cls, stid: str, date: dt.datetime, ax=None, ranges: List = [], boundary: bool = True, fov_color: str = None, alpha: int = 0.5, radar_location: bool = True, radar_label: bool = False, - line_color: str = 'black', fov_files: bool = False, **kwargs): + line_color: str = 'black', + fov_files: bool = False, **kwargs): """ plots only the field of view (FOV) for a given radar station ID (stid) @@ -273,12 +274,6 @@ def plot_fov(cls, stid: str, date: dt.datetime, ----------- stid: int Radar station ID - rsep: int - gate seperation [km], set by the radar control program. - default: 45 common mode - frang: int - distance from the radar site to the edge of the range gate [km] - default: 180 km ax: matplotlib.pyplot axis Pre-defined axis object to pass in, must currently be polar projection @@ -325,13 +320,12 @@ def plot_fov(cls, stid: str, date: dt.datetime, thetas - theta polar coordinates rs - radius polar coordinates """ - if ranges is None: + if ranges == [] or ranges is None: ranges = [0, SuperDARNRadars.radars[stid].range_gate_45] # Get radar beam/gate locations beam_corners_aacgm_lats, beam_corners_aacgm_lons = \ - radar_fov(stid, rsep, frang, coords=coords, ranges=ranges, - date=date, max_beams=max_beams, read_file=fov_files) + radar_fov(stid, ranges=ranges, date=date, **kwargs) if not date: date = dt.datetime.now() diff --git a/pydarn/utils/radar_pos.py b/pydarn/utils/radar_pos.py index f175e5d66..5a221edce 100644 --- a/pydarn/utils/radar_pos.py +++ b/pydarn/utils/radar_pos.py @@ -47,7 +47,7 @@ def radar_fov(stid: int, rsep: int = 45, frang: int = 180, - ranges: tuple = None, read_file: bool = False, + ranges: tuple = None, fov_files: bool = False, coords: object = Coords.AACGM, max_beams: int = None, date: dt.datetime = None): """ @@ -75,7 +75,7 @@ def radar_fov(stid: int, rsep: int = 45, frang: int = 180, for range gate corners """ # Locate base PyDARN directory - if read_file: + if fov_files: my_path = os.path.abspath(os.path.dirname(__file__)) base_path = os.path.join(my_path, '..') From a7e2ade518aebe7ab9712e3518aefc2817f06267 Mon Sep 17 00:00:00 2001 From: Francis Tholley Date: Wed, 14 Jul 2021 13:36:38 -0400 Subject: [PATCH 053/109] Working fan plot --- pydarn/plotting/fan.py | 73 ++++++++++++++++++++++++++++----------- pydarn/utils/radar_pos.py | 6 ++-- 2 files changed, 57 insertions(+), 22 deletions(-) diff --git a/pydarn/plotting/fan.py b/pydarn/plotting/fan.py index de82dcdc4..960a329f4 100644 --- a/pydarn/plotting/fan.py +++ b/pydarn/plotting/fan.py @@ -71,7 +71,7 @@ def plot_fan(cls, dmap_data: List[dict], ax=None, parameter: str = 'v', lowlat: int = 30, cmap: str = None, groundscatter: bool = False, zmin: int = None, zmax: int = None, - colorbar: bool = True, coords: object = Coords.SLANT_RANGE, + colorbar: bool = True, coords: object = Coords.AACGM, colorbar_label: str = '', radar_location: bool = True, radar_label: bool = False, title: bool = True, fov_files: bool = False, **kwargs): @@ -218,12 +218,10 @@ def plot_fan(cls, dmap_data: List[dict], ax=None, else: northern_hemisphere = False pole_lat = 90 if northern_hemisphere else -90 + + # How many beams and gates do we need fan_shape = beam_corners_aacgm_lons.shape - # Get range-gate data and groundscatter array for given scan - scan = np.zeros((fan_shape[0] - 1, fan_shape[1]-1)) - grndsct = np.zeros((fan_shape[0] - 1, fan_shape[1]-1)) - # Colour table and max value selection depending on parameter plotted # Load defaults if none given if cmap is None: @@ -243,7 +241,9 @@ def plot_fan(cls, dmap_data: List[dict], ax=None, norm = colors.Normalize norm = norm(zmin, zmax) - + # Get range-gate data and groundscatter array for given scan + scan = np.zeros((fan_shape[0] - 1, fan_shape[1]-1)) + grndsct = np.zeros((fan_shape[0] - 1, fan_shape[1]-1)) for i in np.nditer(plot_beams): try: # get a list of gates where there is data @@ -265,7 +265,7 @@ def plot_fan(cls, dmap_data: List[dict], ax=None, # if there is no slist field this means partial record except KeyError: continue - + lons = np.concatenate( (beam_corners_aacgm_lons[ranges[0], :], beam_corners_aacgm_lons[ranges[0]:ranges[1], -1], @@ -279,7 +279,8 @@ def plot_fan(cls, dmap_data: List[dict], ax=None, beam_corners_aacgm_lats[ranges[1]:ranges[0]:-1, 0], [beam_corners_aacgm_lats[0, 0]])) point=np.empty((2,186)) - + stid = dmap_data[0]['stid'] + if coords == Coords.AACGM: # Work out shift due in MLT beam_corners_mlts = np.zeros((fan_shape[0], fan_shape[1])) @@ -297,11 +298,37 @@ def plot_fan(cls, dmap_data: List[dict], ax=None, # Get the hemisphere to pass to plotting projection kwargs['hemisphere'] = SuperDARNRadars.radars[stid].hemisphere # Get a polar projection using any kwarg input + fig = plt.figure(figsize=(15,15)) ax = Projections.axis_polar(**kwargs) + + # a single* call to pcolormesh to handle all the + # range gates in the scan + ax.pcolormesh(thetas, + rs, + np.ma.masked_array(scan, ~scan.astype(bool)), + norm=norm, cmap=cmap) # plot the groundscatter as grey fill + + if boundary: + lons = np.concatenate( + (thetas[ranges[0], :], + thetas[ranges[0]:ranges[1], -1], + thetas[ranges[1], ::-1], + thetas[ranges[1]:ranges[0]:-1, 0], + [thetas[0, 0]])) + lats = np.concatenate( + (rs[ranges[0], :], + rs[ranges[0]:ranges[1], -1], + rs[ranges[1], ::-1], + rs[ranges[1]:ranges[0]:-1, 0], + [rs[0, 0]])) + # right boundary line + plt.polar(lons, lats, color=line_color, linewidth=1.2) + + if groundscatter: - ax.pcolormesh(beam_corners_aacgm_lons, - beam_corners_aacgm_lats, + ax.pcolormesh(thetas, + rs, np.ma.masked_array(grndsct, ~grndsct.astype(bool)), norm=norm, cmap='Greys') @@ -330,8 +357,8 @@ def plot_fan(cls, dmap_data: List[dict], ax=None, noon = 360 - deg_from_midnight # handle none types or wrongly built axes if type(ax) != geoaxes.GeoAxesSubplot: - proj = ccrs.SouthPolarStereo(noon, pole_lat) - fig = plt.figure(figsize=(12,12)) + proj = ccrs.Orthographic(noon, pole_lat) + fig = plt.figure(figsize=(15,15)) ax = plt.subplot(111, projection=proj, aspect='auto') grid_lines = ax.gridlines(draw_labels=True,linewidth=1, color='black',) grid_lines.xformatter = LONGITUDE_FORMATTER @@ -350,7 +377,9 @@ def plot_fan(cls, dmap_data: List[dict], ax=None, np.ma.masked_array(scan, ~scan.astype(bool)), norm=norm, cmap=cmap, transform=ccrs.PlateCarree()) - + if boundary: + plt.plot(point[:,0], point[:,1], color=line_color, linewidth=1) + if groundscatter: ax.pcolormesh(beam_corners_aacgm_lons, beam_corners_aacgm_lats, @@ -367,8 +396,8 @@ def plot_fan(cls, dmap_data: List[dict], ax=None, (abs(proj.transform_point(noon, lowlat, ccrs.PlateCarree()) [1]))) - """ax.set_extent(extents=(-extent, extent, -extent, extent), - crs=proj)""" + ax.set_extent(extents=(-extent, extent, -extent, extent), + crs=proj) #ax.set_extent([-180, 90, 0, 0], crs=ccrs.PlateCarree()) else: ax.pcolormesh(beam_corners_aacgm_lons, @@ -380,8 +409,8 @@ def plot_fan(cls, dmap_data: List[dict], ax=None, (abs(proj.transform_point(noon, lowlat, ccrs.PlateCarree()) [1]))) - """ax.set_extent(extents=(-extent, extent, -extent, extent), - crs=proj)""" + ax.set_extent(extents=(-extent, extent, -extent, extent), + crs=proj) #ax.set_extent([-180, 90, 0, 0], crs=ccrs.PlateCarree()) @@ -405,7 +434,7 @@ def plot_fan(cls, dmap_data: List[dict], ax=None, azm = np.linspace(0, 2 * np.pi, 100) r, th = np.meshgrid(rs, azm) plt.plot(azm, r, color='k', ls='none') - plt.grid()""" + plt.grid() if boundary: # create flat arrays of the lat/lon points for the FOV # (bottom, left, -top, -right) @@ -426,7 +455,11 @@ def plot_fan(cls, dmap_data: List[dict], ax=None, plt.plot(boundary_lons, boundary_lats, color=line_color, linewidth=1) else: # plot the boundary - plt.plot(point[:,0], point[:,1], color=line_color, linewidth=1) + plt.plot(point[:,0], point[:,1], color=line_color, linewidth=1)""" + if radar_location: + cls.plot_radar_position(stid, date, line_color, **kwargs) + if radar_label: + cls.plot_radar_label(stid, date, line_color, **kwargs) # Create color bar if True if colorbar is True: mappable = cm.ScalarMappable(norm=norm, cmap=cmap) @@ -660,7 +693,7 @@ def plot_radar_label(cls, stid: int, date: dt.datetime, theta_text = theta_lon # Shift in latitude (dependent on hemisphere) if SuperDARNRadars.radars[stid].hemisphere == Hemisphere.North: - r_text = r_lat - 5 + r_text = r_lat - 7 else: r_text = r_lat + 5 plt.text(theta_text, r_text, label_str, ha='center', c=line_color) diff --git a/pydarn/utils/radar_pos.py b/pydarn/utils/radar_pos.py index b48f94223..7ff2ef2a7 100644 --- a/pydarn/utils/radar_pos.py +++ b/pydarn/utils/radar_pos.py @@ -74,6 +74,7 @@ def radar_fov(stid: int, rsep: int = 45, frang: int = 180, n_beams x n_gates array of geographic or AACGMv2 longitudes for range gate corners """ + # Locate base PyDARN directory if read_file: my_path = os.path.abspath(os.path.dirname(__file__)) @@ -119,11 +120,12 @@ def radar_fov(stid: int, rsep: int = 45, frang: int = 180, # Plus 1 is due to the fact fov files index at 1 so in the plotting # of the boundary there is a subtraction of 1 to offset this as python # converts to index of 0 which my code already accounts for + beam_corners_lats = np.zeros((ranges[1]+1, max_beams+1)) beam_corners_lons = np.zeros((ranges[1]+1, max_beams+1)) - for beam in range(0, max_beams+1): - for gate in range(ranges[0], ranges[1]): + for beam in range(max_beams+1): + for gate in range(ranges[1]+1): lat, lon = geographic_cell_positions(stid, beam, gate, rsep, frang, height=300) From e0aa9c3b4654b3056d5986f2731bb405a404870b Mon Sep 17 00:00:00 2001 From: mts299 Date: Thu, 15 Jul 2021 14:33:47 -0600 Subject: [PATCH 054/109] fixed lowlat? --- pydarn/utils/radar_pos.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pydarn/utils/radar_pos.py b/pydarn/utils/radar_pos.py index 5a221edce..e4c1163b9 100644 --- a/pydarn/utils/radar_pos.py +++ b/pydarn/utils/radar_pos.py @@ -49,7 +49,7 @@ def radar_fov(stid: int, rsep: int = 45, frang: int = 180, ranges: tuple = None, fov_files: bool = False, coords: object = Coords.AACGM, max_beams: int = None, - date: dt.datetime = None): + date: dt.datetime = None, **kwargs): """ Returning beam/gate coordinates of a specified radar's field-of-view From 8584f9914075892ebcd67bfec2c3a238ca92f15a Mon Sep 17 00:00:00 2001 From: Francis Tholley Date: Sat, 17 Jul 2021 08:58:10 -0400 Subject: [PATCH 055/109] Working on fan plot to make ground scatter mapped range work --- pydarn/plotting/fan.py | 7 +++-- pydarn/plotting/rtp.py | 2 +- pydarn/utils/radar_pos.py | 64 ++++++++++++++++++++++++++++++--------- 3 files changed, 56 insertions(+), 17 deletions(-) diff --git a/pydarn/plotting/fan.py b/pydarn/plotting/fan.py index 960a329f4..27fea07ac 100644 --- a/pydarn/plotting/fan.py +++ b/pydarn/plotting/fan.py @@ -69,7 +69,7 @@ def plot_fan(cls, dmap_data: List[dict], ax=None, ranges: List = None, boundary: bool = True, line_color: str = 'black', alpha: int = 0.5, parameter: str = 'v', lowlat: int = 30, cmap: str = None, - groundscatter: bool = False, + groundscatter: bool = False, reflection_height: float = 250, zmin: int = None, zmax: int = None, colorbar: bool = True, coords: object = Coords.AACGM, colorbar_label: str = '', radar_location: bool = True, @@ -116,6 +116,9 @@ def plot_fan(cls, dmap_data: List[dict], ax=None, groundscatter : bool Set true to indicate if groundscatter should be plotted in grey Default: False + reflection_height: float + reflection height + default: 250 zmin: int The minimum parameter value for coloring Default: {'p_l': [0], 'v': [-200], 'w_l': [0], 'elv': [0]} @@ -209,7 +212,7 @@ def plot_fan(cls, dmap_data: List[dict], ax=None, # Get radar beam/gate locations beam_corners_aacgm_lats, beam_corners_aacgm_lons = \ - radar_fov(stid=dmap_data[0]['stid'], rsep=dmap_data[0]['rsep'], frang=dmap_data[0]['frang'], coords=coords, ranges=ranges, + radar_fov(stid=dmap_data[0]['stid'], rsep=dmap_data[0]['rsep'], frang=dmap_data[0]['frang'], reflection_height=reflection_height, coords=coords, ranges=ranges, date=date, max_beams=None, read_file=fov_files) # Where in the world are we diff --git a/pydarn/plotting/rtp.py b/pydarn/plotting/rtp.py index f31d48c98..6560c0f29 100644 --- a/pydarn/plotting/rtp.py +++ b/pydarn/plotting/rtp.py @@ -360,7 +360,7 @@ def plot_range_time(cls, dmap_data: List[dict], parameter: str = 'v', rxrise = SuperDARNRadars.radars[cls.dmap_data[0]['stid']]\ .hardware_info.rx_rise_time y = gate2slant(cls.dmap_data[0]['frang'], cls.dmap_data[0]['rsep'], cls.dmap_data['rxrise'], y_max) - elif coord is Coords.GROUND_SCATTER_MAPPED_RANGE: + elif coords is Coords.GROUND_SCATTER_MAPPED_RANGE: rxrise = SuperDARNRadars.radars[cls.dmap_data[0]['stid']]\ .hardware_info.rx_rise_time y = gate2slant(cls.dmap_data[0], y_max, rxrise=rxrise) diff --git a/pydarn/utils/radar_pos.py b/pydarn/utils/radar_pos.py index 7ff2ef2a7..ab77f14a7 100644 --- a/pydarn/utils/radar_pos.py +++ b/pydarn/utils/radar_pos.py @@ -39,17 +39,17 @@ import datetime as dt import numpy as np import os - +import pandas as pd import aacgmv2 -from pydarn import SuperDARNRadars, gate2slant, Coords +from pydarn import SuperDARNRadars, gate2slant, gate2GroundScatter, Coords from pydarn.utils.constants import EARTH_EQUATORIAL_RADIUS, Re, C def radar_fov(stid: int, rsep: int = 45, frang: int = 180, ranges: tuple = None, read_file: bool = False, coords: object = Coords.AACGM, max_beams: int = None, - date: dt.datetime = None): + reflection_height: float = 250, date: dt.datetime = None): """ Returning beam/gate coordinates of a specified radar's field-of-view @@ -61,6 +61,9 @@ def radar_fov(stid: int, rsep: int = 45, frang: int = 180, coords: Coords object Type of coordinates returned Default: Coords.AACGM + reflection_height: float + reflection height + default: 250 date: datetime datetime object date to be used for AACGMv2 conversion Default: Current day @@ -127,7 +130,7 @@ def radar_fov(stid: int, rsep: int = 45, frang: int = 180, for beam in range(max_beams+1): for gate in range(ranges[1]+1): lat, lon = geographic_cell_positions(stid, beam, gate, rsep, - frang, height=300) + frang, coords = coords, reflection_height=reflection_height, height=300) if coords == Coords.AACGM: if date is None: @@ -148,6 +151,8 @@ def radar_fov(stid: int, rsep: int = 45, frang: int = 180, def geographic_cell_positions(stid: int, beam: int, range_gate: int, rsep: int = 45, frang: int = 180, height: float = None, elv_angle: float = 0.0, + reflection_height: float = 250, + coords: object = Coords.SLANT_RANGE, center: bool = True, chisham: bool = False): """ determines the geographic cell position for a given range gate and beam @@ -175,6 +180,12 @@ def geographic_cell_positions(stid: int, beam: int, range_gate: int, elv_angle: float elevation angle in [deg] default: 0 + reflection_height: float + reflection height + default: 250 + coords: Coords + set the y-axis to a desired coordinate system + Default: Coords.SLANT_RANGE center: bool obtain geographic location of the centre of the range gates False obtains the front edge of the range gates. @@ -216,18 +227,43 @@ def geographic_cell_positions(stid: int, beam: int, range_gate: int, # psi [rad] in the angle from the boresight psi = beam_sep * (beam - offset) + beam_edge - # Calculate the slant range [km] - slant_range = gate2slant(frang, rsep, rxrise, gate=range_gate) - - # If no height is specified then use elevation angle (default 0) - # to calculate the transmutation height - if height is None: - height = -Re + np.sqrt(Re**2 + 2 * slant_range * Re * - np.sin(np.radians(elv_angle)) + slant_range**2) - - lat, lon = geocentric_coordinates(radar_lat, radar_lon, slant_range, + + lon = np.empty((2,2)) + lat = np.empty((2,2)) + if coords == Coords.SLANT_RANGE: + # Calculate the slant range [km] + slant_range = gate2slant(frang, rsep, rxrise, gate=range_gate) + print(slant_range) + print("in") + # If no height is specified then use elevation angle (default 0) + # to calculate the transmutation height + if height is None: + height = -Re + np.sqrt(Re**2 + 2 * slant_range * Re * + np.sin(np.radians(elv_angle)) + slant_range**2) + + lat, lon = geocentric_coordinates(radar_lat, radar_lon, slant_range, height, psi, boresight, chisham) + """if coords == Coords.GROUND_SCATTER_MAPPED_RANGE: + # Calculate the ground scatter mapped range + slant_range = gate2slant(frang, rsep, rxrise, gate=range_gate) + + ground_scatter_mapped_range = gate2GroundScatter(slant_range, reflection_height) + pd.DataFrame(ground_scatter_mapped_range).to_csv("ground_scatter.csv") + #print(np.max(ground_scatter_mapped_range)) + exit() + y0inx = np.min(np.where(np.isfinite(ground_scatter_mapped_range))[0]) + ground_scatter_mapped_range = ground_scatter_mapped_range[y0inx:] + + # If no height is specified then use elevation angle (default 0) + # to calculate the transmutation height + if height is None: + height = -Re + np.sqrt(Re**2 + 2 * ground_scatter_mapped_range * Re * + np.sin(np.radians(elv_angle)) + ground_scatter_mapped_range**2) + + lat, lon = geocentric_coordinates(radar_lat, radar_lon, ground_scatter_mapped_range, + height, psi, boresight, chisham)""" + # convert back degrees as preferred units to use? return np.degrees(lat), np.degrees(lon) From 15cc2a187e3cf0d4674d8e84052fe7ac1e1d29bc Mon Sep 17 00:00:00 2001 From: Francis Tholley Date: Sat, 17 Jul 2021 11:10:25 -0400 Subject: [PATCH 056/109] Working fanplot for both slant range and ground scatter mapped range --- pydarn/plotting/fan.py | 84 ++++++++++++++++----------------------- pydarn/utils/radar_pos.py | 19 ++++----- 2 files changed, 42 insertions(+), 61 deletions(-) diff --git a/pydarn/plotting/fan.py b/pydarn/plotting/fan.py index 27fea07ac..054b42613 100644 --- a/pydarn/plotting/fan.py +++ b/pydarn/plotting/fan.py @@ -19,7 +19,6 @@ """ Fan plots, mapped to AACGM coordinates in a polar format """ - import datetime as dt import matplotlib.pyplot as plt import numpy as np @@ -268,7 +267,8 @@ def plot_fan(cls, dmap_data: List[dict], ax=None, # if there is no slist field this means partial record except KeyError: continue - + + # Initializes lons and lats to be used in cartopy coordinate transformation lons = np.concatenate( (beam_corners_aacgm_lons[ranges[0], :], beam_corners_aacgm_lons[ranges[0]:ranges[1], -1], @@ -281,7 +281,33 @@ def plot_fan(cls, dmap_data: List[dict], ax=None, beam_corners_aacgm_lats[ranges[1], ::-1], beam_corners_aacgm_lats[ranges[1]:ranges[0]:-1, 0], [beam_corners_aacgm_lats[0, 0]])) - point=np.empty((2,186)) + + if np.isnan(beam_corners_aacgm_lons).any() or np.isnan(beam_corners_aacgm_lats).any(): + # Reshapes longitude when there are nans + y0inx = np.min(np.where(np.isfinite(beam_corners_aacgm_lons))[0]) + beam_corners_aacgm_lons = beam_corners_aacgm_lons[y0inx:] + # Reshapes latitude when there are nans + y0inx = np.min(np.where(np.isfinite(beam_corners_aacgm_lats))[0]) + beam_corners_aacgm_lats = beam_corners_aacgm_lats[y0inx:] + fan_shape=beam_corners_aacgm_lons.shape + # Reshapes scan data when both lons and lats have nans + scan=scan[y0inx:] + + # Reinitialize lons and lats to be used in cartopy coordinate transform when lons and lats have nans + lons = np.concatenate( + (beam_corners_aacgm_lons[ranges[0], :], + beam_corners_aacgm_lons[ranges[0]:fan_shape[0], -1], + beam_corners_aacgm_lons[fan_shape[0]-1, ::-1], + beam_corners_aacgm_lons[fan_shape[0]:ranges[0]:-1, 0], + [beam_corners_aacgm_lons[0, 0]])) + lats = np.concatenate( + (beam_corners_aacgm_lats[ranges[0], :], + beam_corners_aacgm_lats[ranges[0]:fan_shape[0], -1], + beam_corners_aacgm_lats[fan_shape[0]-1, ::-1], + beam_corners_aacgm_lats[fan_shape[0]:ranges[0]:-1, 0], + [beam_corners_aacgm_lats[0, 0]])) + + # Initializes stid stid = dmap_data[0]['stid'] if coords == Coords.AACGM: @@ -301,7 +327,7 @@ def plot_fan(cls, dmap_data: List[dict], ax=None, # Get the hemisphere to pass to plotting projection kwargs['hemisphere'] = SuperDARNRadars.radars[stid].hemisphere # Get a polar projection using any kwarg input - fig = plt.figure(figsize=(15,15)) + fig = plt.figure(figsize=(12,12)) ax = Projections.axis_polar(**kwargs) # a single* call to pcolormesh to handle all the @@ -361,7 +387,7 @@ def plot_fan(cls, dmap_data: List[dict], ax=None, # handle none types or wrongly built axes if type(ax) != geoaxes.GeoAxesSubplot: proj = ccrs.Orthographic(noon, pole_lat) - fig = plt.figure(figsize=(15,15)) + fig = plt.figure(figsize=(12,12)) ax = plt.subplot(111, projection=proj, aspect='auto') grid_lines = ax.gridlines(draw_labels=True,linewidth=1, color='black',) grid_lines.xformatter = LONGITUDE_FORMATTER @@ -375,6 +401,9 @@ def plot_fan(cls, dmap_data: List[dict], ax=None, point = proj.transform_points(geo,lons, lats) """ax.gridlines(ylocs=np.arange(pole_lat, 0, -5 if northern_hemisphere else 5))""" + + + ax.pcolormesh(beam_corners_aacgm_lons, beam_corners_aacgm_lats, np.ma.masked_array(scan, ~scan.astype(bool)), @@ -415,50 +444,7 @@ def plot_fan(cls, dmap_data: List[dict], ax=None, ax.set_extent(extents=(-extent, extent, -extent, extent), crs=proj) #ax.set_extent([-180, 90, 0, 0], crs=ccrs.PlateCarree()) - - - - """# Begin plotting by iterating over ranges and beams - thetas = thetas[ranges[0]:ranges[1]] - rs = rs[ranges[0]:ranges[1]] - scan = scan[ranges[0]:ranges[1]-1] - ax.pcolormesh(thetas, rs, - np.ma.masked_array(scan, ~scan.astype(bool)), - norm=norm, cmap=cmap) - - # plot the groundscatter as grey fill - if groundscatter: - grndsct = grndsct[ranges[0]:ranges[1]-1] - ax.pcolormesh(thetas, rs, - np.ma.masked_array(grndsct, - ~grndsct.astype(bool)), - norm=norm, cmap='Greys') - - azm = np.linspace(0, 2 * np.pi, 100) - r, th = np.meshgrid(rs, azm) - plt.plot(azm, r, color='k', ls='none') - plt.grid() - if boundary: - # create flat arrays of the lat/lon points for the FOV - # (bottom, left, -top, -right) - if coords==Coords.AACGM: - boundary_lons = np.concatenate( - (beam_corners_aacgm_lons[ranges[0], :], - beam_corners_aacgm_lons[ranges[0]:ranges[1], -1], - beam_corners_aacgm_lons[ranges[1], ::-1], - beam_corners_aacgm_lons[ranges[1]:ranges[0]:-1, 0], - [beam_corners_aacgm_lons[0, 0]])) - boundary_lats = np.concatenate( - (beam_corners_aacgm_lats[ranges[0], :], - beam_corners_aacgm_lats[ranges[0]:ranges[1], -1], - beam_corners_aacgm_lats[ranges[1], ::-1], - beam_corners_aacgm_lats[ranges[1]:ranges[0]:-1, 0], - [beam_corners_aacgm_lats[0, 0]])) - #plot the boundary - plt.plot(boundary_lons, boundary_lats, color=line_color, linewidth=1) - else: - # plot the boundary - plt.plot(point[:,0], point[:,1], color=line_color, linewidth=1)""" + if radar_location: cls.plot_radar_position(stid, date, line_color, **kwargs) if radar_label: diff --git a/pydarn/utils/radar_pos.py b/pydarn/utils/radar_pos.py index ab77f14a7..993179894 100644 --- a/pydarn/utils/radar_pos.py +++ b/pydarn/utils/radar_pos.py @@ -39,7 +39,6 @@ import datetime as dt import numpy as np import os -import pandas as pd import aacgmv2 from pydarn import SuperDARNRadars, gate2slant, gate2GroundScatter, Coords @@ -228,13 +227,14 @@ def geographic_cell_positions(stid: int, beam: int, range_gate: int, # psi [rad] in the angle from the boresight psi = beam_sep * (beam - offset) + beam_edge + # Initialize lon and lat to allow use outside of if statement lon = np.empty((2,2)) lat = np.empty((2,2)) + + #calculates lon and lat for slant range if coords == Coords.SLANT_RANGE: # Calculate the slant range [km] slant_range = gate2slant(frang, rsep, rxrise, gate=range_gate) - print(slant_range) - print("in") # If no height is specified then use elevation angle (default 0) # to calculate the transmutation height if height is None: @@ -243,18 +243,13 @@ def geographic_cell_positions(stid: int, beam: int, range_gate: int, lat, lon = geocentric_coordinates(radar_lat, radar_lon, slant_range, height, psi, boresight, chisham) - - """if coords == Coords.GROUND_SCATTER_MAPPED_RANGE: + + #calculates lon and lat for ground scatter mapped range + if coords == Coords.GROUND_SCATTER_MAPPED_RANGE: # Calculate the ground scatter mapped range slant_range = gate2slant(frang, rsep, rxrise, gate=range_gate) ground_scatter_mapped_range = gate2GroundScatter(slant_range, reflection_height) - pd.DataFrame(ground_scatter_mapped_range).to_csv("ground_scatter.csv") - #print(np.max(ground_scatter_mapped_range)) - exit() - y0inx = np.min(np.where(np.isfinite(ground_scatter_mapped_range))[0]) - ground_scatter_mapped_range = ground_scatter_mapped_range[y0inx:] - # If no height is specified then use elevation angle (default 0) # to calculate the transmutation height if height is None: @@ -262,7 +257,7 @@ def geographic_cell_positions(stid: int, beam: int, range_gate: int, np.sin(np.radians(elv_angle)) + ground_scatter_mapped_range**2) lat, lon = geocentric_coordinates(radar_lat, radar_lon, ground_scatter_mapped_range, - height, psi, boresight, chisham)""" + height, psi, boresight, chisham) # convert back degrees as preferred units to use? return np.degrees(lat), np.degrees(lon) From e259310439e5ef864500c9467d13ac1ba40be47c Mon Sep 17 00:00:00 2001 From: Francis Tholley Date: Thu, 29 Jul 2021 19:49:23 -0400 Subject: [PATCH 057/109] Working fan plot for slant range and ground scatter mapped range --- pydarn/plotting/fan.py | 187 +++++++++++++++++++++++++++++++---------- 1 file changed, 142 insertions(+), 45 deletions(-) diff --git a/pydarn/plotting/fan.py b/pydarn/plotting/fan.py index 054b42613..676949da4 100644 --- a/pydarn/plotting/fan.py +++ b/pydarn/plotting/fan.py @@ -127,6 +127,9 @@ def plot_fan(cls, dmap_data: List[dict], ax=None, colorbar: bool Draw a colourbar if True Default: True + coords: Coords + set the y-axis to a desired coordinate system + Default: Coords.AACGM colorbar_label: str the label that appears next to the colour bar. Requires colorbar to be true @@ -191,7 +194,7 @@ def plot_fan(cls, dmap_data: List[dict], ax=None, # Time for coordinate conversion if not scan_time: - date = time2datetime(dmap_data[plot_beams[0][0]]) + date = time2datetime(dmap_data[plot_beams[0][0]]) else: date = scan_time @@ -387,7 +390,6 @@ def plot_fan(cls, dmap_data: List[dict], ax=None, # handle none types or wrongly built axes if type(ax) != geoaxes.GeoAxesSubplot: proj = ccrs.Orthographic(noon, pole_lat) - fig = plt.figure(figsize=(12,12)) ax = plt.subplot(111, projection=proj, aspect='auto') grid_lines = ax.gridlines(draw_labels=True,linewidth=1, color='black',) grid_lines.xformatter = LONGITUDE_FORMATTER @@ -419,7 +421,7 @@ def plot_fan(cls, dmap_data: List[dict], ax=None, ~grndsct.astype(bool)), norm=norm, cmap='Greys', transform=ccrs.PlateCarree()) - + # For some reason, cartopy won't allow extents # much greater than this # - there should probably be an option to allow autscaling @@ -444,11 +446,13 @@ def plot_fan(cls, dmap_data: List[dict], ax=None, ax.set_extent(extents=(-extent, extent, -extent, extent), crs=proj) #ax.set_extent([-180, 90, 0, 0], crs=ccrs.PlateCarree()) - + # plots radar position if radar_location: - cls.plot_radar_position(stid, date, line_color, **kwargs) + cls.plot_radar_position(stid, date, line_color, coords = coords, **kwargs) + # plots radar label position if radar_label: - cls.plot_radar_label(stid, date, line_color, **kwargs) + cls.plot_radar_label(stid, date, line_color, coords = coords, **kwargs) + # Create color bar if True if colorbar is True: mappable = cm.ScalarMappable(norm=norm, cmap=cmap) @@ -464,7 +468,7 @@ def plot_fan(cls, dmap_data: List[dict], ax=None, if title: start_time = time2datetime(dmap_data[plot_beams[0][0]]) end_time = time2datetime(dmap_data[plot_beams[-1][-1]]) - title = cls.__add_title__(start_time, end_time) + title = cls.__add_title__(start_time, end_time, coords=coords) plt.title(title) citing_warning() return beam_corners_aacgm_lats, beam_corners_aacgm_lons, scan, grndsct @@ -488,6 +492,9 @@ def plot_fov(cls, stid: str, date: dt.datetime, rsep: int = 45, rsep: int gate seperation [km], set by the radar control program. default: 45 common mode + coords: Coords + set the y-axis to a desired coordinate system + Default: Coords.AACGM frang: int distance from the radar site to the edge of the range gate [km] default: 180 km @@ -611,7 +618,7 @@ def plot_fov(cls, stid: str, date: dt.datetime, rsep: int = 45, @classmethod def plot_radar_position(cls, stid: int, date: dt.datetime, - line_color: str = 'black', **kwargs): + line_color: str = 'black', coords: object = Coords.AACGM, **kwargs): """ plots only a dot at the position of a given radar station ID (stid) @@ -625,28 +632,63 @@ def plot_radar_position(cls, stid: int, date: dt.datetime, line_color: str color of the dot default: black - + coords: Coords + set the y-axis to a desired coordinate system + Default: Coords.AACGM Returns ------- No variables returned """ - # Get location of radar - lat = SuperDARNRadars.radars[stid].hardware_info.geographic.lat - lon = SuperDARNRadars.radars[stid].hardware_info.geographic.lon - # Convert to geomag coords - geomag_radar = aacgmv2.get_aacgm_coord(lat, lon, 250, date) - mltshift = geomag_radar[1] - (aacgmv2.convert_mlt(geomag_radar[1], + if coords == Coords.AACGM: + # Get location of radar + lat = SuperDARNRadars.radars[stid].hardware_info.geographic.lat + lon = SuperDARNRadars.radars[stid].hardware_info.geographic.lon + # Convert to geomag coords + geomag_radar = aacgmv2.get_aacgm_coord(lat, lon, 250, date) + mltshift = geomag_radar[1] - (aacgmv2.convert_mlt(geomag_radar[1], date) * 15) - # Convert to MLT then radians for theta - theta_lon = np.radians(geomag_radar[1] - mltshift) - r_lat = geomag_radar[0] - # Plot a dot at the radar site - plt.scatter(theta_lon, r_lat, c=line_color, linewidths=5, s=5) + # Convert to MLT then radians for theta + theta_lon = np.radians(geomag_radar[1] - mltshift) + r_lat = geomag_radar[0] + # Plot a dot at the radar site + plt.scatter(theta_lon, r_lat, c=line_color, linewidths=5, s=5) + + if coords == Coords.SLANT_RANGE or coords == Coords.GROUND_SCATTER_MAPPED_RANGE: + # Get location of radar + radar_position_lat = np.array(SuperDARNRadars.radars[stid].hardware_info.geographic.lat) + radar_position_lon = np.array(SuperDARNRadars.radars[stid].hardware_info.geographic.lon) + + # Where in the world are we + if np.all(radar_position_lat > 0): + northern_hemisphere = True + else: + northern_hemisphere = False + pole_lat = 90 if northern_hemisphere else -90 + + # no need to shift any coords, let cartopy do that + # however, we do need to figure out + # how much to rotate the projection + deg_from_midnight = (date.hour + date.minute / 60) / 24 * 360 + if northern_hemisphere: + noon = -deg_from_midnight + else: + noon = 360 - deg_from_midnight + + # projection for radar postion coordinate transformation + proj = ccrs.Orthographic(noon, pole_lat) + + # radar position coordinate transformation to geo coordinates + geo = ccrs.Geodetic() + position=proj.transform_points(geo,radar_position_lon, radar_position_lat) + # plot radar position + plt.scatter(position[:,0], position[:,1], c=line_color, linewidths=5, s=5) + + return @classmethod def plot_radar_label(cls, stid: int, date: dt.datetime, - line_color: str = 'black', **kwargs): + line_color: str = 'black', coords: object = Coords.AACGM, **kwargs): """ plots only string at the position of a given radar station ID (stid) @@ -660,40 +702,95 @@ def plot_radar_label(cls, stid: int, date: dt.datetime, line_color: str color of the text default: black + coords: Coords + set the y-axis to a desired coordinate system + Default: Coords.AACGM Returns ------- No variables returned """ - # Label text - label_str = ' ' + SuperDARNRadars.radars[stid]\ - .hardware_info.abbrev.upper() - # Get location of radar - lat = SuperDARNRadars.radars[stid].hardware_info.geographic.lat - lon = SuperDARNRadars.radars[stid].hardware_info.geographic.lon - # Convert to geomag coords - geomag_radar = aacgmv2.get_aacgm_coord(lat, lon, 250, date) - mltshift = geomag_radar[1] - \ - (aacgmv2.convert_mlt(geomag_radar[1], date) * 15) - # Convert to MLT then radians for theta - theta_lon = np.radians(geomag_radar[1] - mltshift) - r_lat = geomag_radar[0] - - theta_text = theta_lon - # Shift in latitude (dependent on hemisphere) - if SuperDARNRadars.radars[stid].hemisphere == Hemisphere.North: - r_text = r_lat - 7 - else: - r_text = r_lat + 5 - plt.text(theta_text, r_text, label_str, ha='center', c=line_color) + if coords == Coords.AACGM: + # Label text + label_str = ' ' + SuperDARNRadars.radars[stid]\ + .hardware_info.abbrev.upper() + # Get location of radar + lat = SuperDARNRadars.radars[stid].hardware_info.geographic.lat + lon = SuperDARNRadars.radars[stid].hardware_info.geographic.lon + + # Convert to geomag coords + geomag_radar = aacgmv2.get_aacgm_coord(lat, lon, 250, date) + mltshift = geomag_radar[1] - \ + (aacgmv2.convert_mlt(geomag_radar[1], date) * 15) + # Convert to MLT then radians for theta + theta_lon = np.radians(geomag_radar[1] - mltshift) + r_lat = geomag_radar[0] + + theta_text = theta_lon + # Shift in latitude (dependent on hemisphere) + if SuperDARNRadars.radars[stid].hemisphere == Hemisphere.North: + r_text = r_lat - 7 + else: + r_text = r_lat + 5 + plt.text(theta_text, r_text, label_str, ha='center', c=line_color) + + if coords == Coords.SLANT_RANGE or coords == Coords.GROUND_SCATTER_MAPPED_RANGE: + # Get location of radar + radar_position_lat = np.array(SuperDARNRadars.radars[stid].hardware_info.geographic.lat) + radar_position_lon = np.array(SuperDARNRadars.radars[stid].hardware_info.geographic.lon) + + # Where in the world are we + if np.all(radar_position_lat > 0): + northern_hemisphere = True + else: + northern_hemisphere = False + pole_lat = 90 if northern_hemisphere else -90 + + # no need to shift any coords, let cartopy do that + # however, we do need to figure out + # how much to rotate the projection + deg_from_midnight = (date.hour + date.minute / 60) / 24 * 360 + if northern_hemisphere: + noon = -deg_from_midnight + else: + noon = 360 - deg_from_midnight + + # projection for radar postion coordinate transformation + proj = ccrs.Orthographic(noon, pole_lat) + + # radar position coordinate transformation to geo coordinates + geo = ccrs.Geodetic() + position=proj.transform_points(geo,radar_position_lon, radar_position_lat) + + # Label text + label_str = '' + label_str = ' ' + SuperDARNRadars.radars[stid]\ + .hardware_info.abbrev.upper() + theta_text=position[:,0] + # Shift in latitude (dependent on hemisphere) + if SuperDARNRadars.radars[stid].hemisphere == Hemisphere.North: + r_text = position[:,1] - 7 + else: + r_text = position[:,1] + 5 + + plt.text(theta_text, r_text, label_str, ha='center', c=line_color) + return @classmethod def __add_title__(cls, first_timestamp: dt.datetime, - end_timestamp: dt.datetime): - title = "{year}-{month}-{day} {start_hour}:{start_minute}:{second} -"\ + end_timestamp: dt.datetime, coords: object = Coords.AACGM): + """ + coords: Coords + set the y-axis to a desired coordinate system + Default: Coords.AACGM + Returns + ------- + title + """ + title = "{coords}\n{year}-{month}-{day} {start_hour}:{start_minute}:{second} -"\ " {end_hour}:{end_minute}:{end_second}"\ - "".format(year=first_timestamp.year, + "".format(coords=str(coords)[7:], year=first_timestamp.year, month=str(first_timestamp.month).zfill(2), day=str(first_timestamp.day).zfill(2), start_hour=str(first_timestamp.hour).zfill(2), From 78e08666416587a21581a6898948b487ecc52a7d Mon Sep 17 00:00:00 2001 From: mts299 Date: Fri, 6 Aug 2021 10:41:46 -0600 Subject: [PATCH 058/109] got it working for range-time and time-series --- test/test_RTP.py | 209 +++++++++++++++++++++++++++++------------------ 1 file changed, 128 insertions(+), 81 deletions(-) diff --git a/test/test_RTP.py b/test/test_RTP.py index 314c5e250..c5d0c675d 100644 --- a/test/test_RTP.py +++ b/test/test_RTP.py @@ -13,88 +13,135 @@ # supplemented by the additional permissions listed below. import bz2 +import datetime as dt +import matplotlib.pyplot as plt import pytest +import warnings import pydarn -@pytest.fixture -def fitacf_data(): - """ read in fitacf data needed for the test functions """ - with bz2.open('data/test.fitacf.bz2') as fp: - fitacf_stream = fp.read() - return pydarn.SuperDARNRead(fitacf_stream, True).read_fitacf() - - -@pytest.mark.parametrize('ggroundscatter', [True, 'grey', 'yello', False]) -@pytest.mark.parametrize('beam', [0, 1, 7, 15]) -@pytest.mark.parametrize('parameter', ['v', 'p_l', 'w_l']) -@pytest.mark.parametrize() -def test_normal_range_time(fitacf_data): - """ this test will give bare minimum input needed for """ - pydarn.RTP.plot_range_time(fitacf_data) - - -def test_range_time_ground_scatter(): - """ """ - pass - -def test_range_time_ground_scatter(): - """ """ - pass - -def test_range_time_channel(): - """ """ - pass - -def test_range_time_axis_object(): - """ """ - pass - -def test_range_time_rawacf(): - """ """ - pass - -def test_time_series(): - """ """ - pass - -def test_time_series(): - """ """ - pass - -def test_time_series_axis(): - """ """ - pass - -def test_time_series_channel(): - """ """ - pass - -def test_time_series_cpid(): - """ """ - pass - -def test_summary(): - """ """ - pass - -def test_summary_channel(): - """ """ - pass - -def test_summary_groundscatter_str(): - """ """ - pass - -def test_summary_range_gates(): - """ """ - pass - -def test_summary_ground_scatter(): - """ """ - pass - -def test_summary_kwargs(): - """ """ - pass - +with bz2.open('data/test.fitacf.bz2') as fp: + fitacf_stream = fp.read() +data = pydarn.SuperDARNRead(fitacf_stream, True).read_fitacf() + + +class TestRTP_defaults: + + def test_range_time_defaults(self): + """ """ + with warnings.catch_warnings(record=True): + pydarn.RTP.plot_range_time(data) + + def test_normal_time_series(self): + """ """ + with warnings.catch_warnings(record=True): + pydarn.RTP.plot_time_series(data) + +@pytest.mark.parametrize('background', ['w']) +@pytest.mark.parametrize('zmin', [0, -200]) +@pytest.mark.parametrize('zmax', [200, 1000]) +@pytest.mark.parametrize('groundscatter_params', [True, 'grey']) +@pytest.mark.parametrize('colorbar_label', ['test']) +@pytest.mark.parametrize('yspacing', [150, 250]) +@pytest.mark.parametrize('coords', [pydarn.Coords.RANGE_GATE, + pydarn.Coords.GROUND_SCATTER_MAPPED_RANGE]) +@pytest.mark.parametrize('ymin', [10]) +@pytest.mark.parametrize('ymax', [70]) +@pytest.mark.parametrize('parameters', ['v', 'p_l', 'w_l']) +@pytest.mark.parametrize('cmap', [plt.get_cmap('rainbow')]) +@pytest.mark.parametrize('start_time', [dt.datetime(2018, 4, 4, 6, 2)]) +@pytest.mark.parametrize('end_time', [dt.datetime(2018, 4, 4, 6, 4)]) +@pytest.mark.parametrize('date_fmt', ['%H:%M']) +class TestRangTime: + + def test_parameters_range_time(self, groundscatter_params, + parameters, background, zmin, zmax, + start_time, end_time, ymin, ymax, + colorbar_label, yspacing, + coords, cmap, date_fmt): + """ this test will give bare minimum input needed for """ + with warnings.catch_warnings(record=True): + pydarn.RTP.plot_range_time(data, beam_num=15, + parameter=parameters, channel=1, + groundscatter=groundscatter_params, + background=background, zmin=zmin, + zmax=zmax, start_time=start_time, + end_time=end_time, ymin=ymin, ymax=ymax, + colorbar_label=colorbar_label, + yspacing=yspacing, coords=coords, + cmap=cmap, date_fmt=date_fmt) + plt.close('all') + + def test_parameters_channel_2_range_time(self, groundscatter_params, + parameters, background, zmin, zmax, + start_time, end_time, ymin, ymax, + colorbar_label, yspacing, + coords, cmap, date_fmt): + """ this test will give bare minimum input needed for """ + with warnings.catch_warnings(record=True): + pydarn.RTP.plot_range_time(data, beam_num=9, + parameter=parameters, channel=2, + groundscatter=groundscatter_params, + background=background, zmin=zmin, + zmax=zmax, start_time=start_time, + end_time=end_time, ymin=ymin, ymax=ymax, + colorbar_label=colorbar_label, + yspacing=yspacing, coords=coords, + cmap=cmap, date_fmt=date_fmt) + plt.close('all') + + +@pytest.mark.parametrize('parameters_scalar', ['tfreq', 'cp', 'nave', + 'p_l', 'w_l', 'v']) +@pytest.mark.parametrize('gate', [38, 48]) +@pytest.mark.parametrize('scale', ['linear', 'log']) +@pytest.mark.parametrize('cp_name', [True, False]) +@pytest.mark.parametrize('color', 'green') +@pytest.mark.parametrize('linestyle', ['--']) +@pytest.mark.parametrize('linewidth', [0.5, 2]) +@pytest.mark.parametrize('start_time', [dt.datetime(2018, 4, 4, 6, 2)]) +@pytest.mark.parametrize('end_time', [dt.datetime(2018, 4, 4, 6, 4)]) +@pytest.mark.parametrize('date_fmt', ['%H:%M']) +class TestTimeSeries: + + def test_parameters_time_series_channel2(self, parameters_scalar, gate, + scale, cp_name, color, linestyle, + linewidth, date_fmt, end_time, + start_time): + """ + + """ + with warnings.catch_warnings(record=True): + pydarn.RTP.plot_time_series(data, parameter=parameters_scalar, + beam_num=9, gate=gate, + start_time=start_time, + end_time=end_time, date_fmt=date_fmt, + channel=2, scale=scale, + cp_name=cp_name, color=color, + linestyle=linestyle, + linewidth=linewidth) + + def test_parameters_time_series_channel2(self, parameters_scalar, gate, + scale, cp_name, color, linestyle, + linewidth, date_fmt, end_time, + start_time): + """ + + """ + with warnings.catch_warnings(record=True): + pydarn.RTP.plot_time_series(data, parameter=parameters_scalar, + beam_num=15, gate=gate, + start_time=start_time, + end_time=end_time, date_fmt=date_fmt, + channel=1, scale=scale, + cp_name=cp_name, color=color, + linestyle=linestyle, + linewidth=linewidth) + +class TestSummaryPlots: + + def test_default_summary_plots(self): + + def test_params_summary_plots(self): + + def test_beam9_channel2_summary_plots(self): From 9b5e80aea5d9467f4727e47e97a74aa46058fb50 Mon Sep 17 00:00:00 2001 From: mts299 Date: Fri, 6 Aug 2021 11:53:50 -0600 Subject: [PATCH 059/109] fixing some bugs and updating to PEP8 --- pydarn/plotting/rtp.py | 43 ++++++++++++++++++++++-------------------- 1 file changed, 23 insertions(+), 20 deletions(-) diff --git a/pydarn/plotting/rtp.py b/pydarn/plotting/rtp.py index 193e930f8..471408954 100644 --- a/pydarn/plotting/rtp.py +++ b/pydarn/plotting/rtp.py @@ -361,7 +361,7 @@ def plot_range_time(cls, dmap_data: List[dict], parameter: str = 'v', y = gate2GroundScatter(y, **kwargs) y0inx = np.min(np.where(np.isfinite(y))[0]) y = y[y0inx:] - z = z[:,y0inx:] + z = z[:, y0inx:] time_axis, y_axis = np.meshgrid(x, y) z_data = np.ma.masked_where(np.isnan(z.T), z.T) Default = {'noise.sky': (1e0, 1e5), @@ -386,13 +386,12 @@ def plot_range_time(cls, dmap_data: List[dict], parameter: str = 'v', if isinstance(cmap, str): cmap = cm.get_cmap(cmap) else: - cmaps = {'p_l': 'plasma', + cmaps = {'p_l': plt.get_cmap('plasma'), 'v': PyDARNColormaps.PYDARN_VELOCITY, 'w_l': PyDARNColormaps.PYDARN_VIRIDIS, 'elv': PyDARNColormaps.PYDARN} cmap = cmaps[parameter] - # set the background color, this needs to happen to avoid # the overlapping problem that occurs cmap.set_bad(color=background, alpha=1.) @@ -401,16 +400,16 @@ def plot_range_time(cls, dmap_data: List[dict], parameter: str = 'v', cmap=cmap, norm=norm, **kwargs) if isinstance(groundscatter, str): - ground_scatter = np.ma.masked_where( z_data != -1000000, z_data) + ground_scatter = np.ma.masked_where(z_data != -1000000, z_data) gs_color = colors.ListedColormap([groundscatter]) - im2 = ax.pcolormesh(time_axis, y_axis, ground_scatter, lw=0.01, - cmap=gs_color, norm=norm, **kwargs) + ax.pcolormesh(time_axis, y_axis, ground_scatter, lw=0.01, + cmap=gs_color, norm=norm, **kwargs) elif groundscatter: - ground_scatter = np.ma.masked_where( z_data != -1000000, z_data) + ground_scatter = np.ma.masked_where(z_data != -1000000, z_data) gs_color = colors.ListedColormap(['grey']) - im2 = ax.pcolormesh(time_axis, y_axis, ground_scatter, lw=0.01, - cmap=gs_color, norm=norm, **kwargs) + ax.pcolormesh(time_axis, y_axis, ground_scatter, lw=0.01, + cmap=gs_color, norm=norm, **kwargs) # setup some standard axis information # Upon request of Daniel Billet and others, I am rounding @@ -431,7 +430,8 @@ def plot_range_time(cls, dmap_data: List[dict], parameter: str = 'v', ax.set_ylim(ymin, ymax) - if coords is Coords.SLANT_RANGE or coords is Coords.GROUND_SCATTER_MAPPED_RANGE: + if coords is Coords.SLANT_RANGE or\ + coords is Coords.GROUND_SCATTER_MAPPED_RANGE: ax.yaxis.set_ticks(np.arange(np.ceil(ymin/100.0)*100, ymax+1, yspacing)) else: @@ -449,7 +449,8 @@ def plot_range_time(cls, dmap_data: List[dict], parameter: str = 'v', tick_interval = 1 ax.xaxis.set_minor_locator(dates.MinuteLocator(interval=tick_interval)) - if coords is Coords.SLANT_RANGE or coords is Coords.GROUND_SCATTER_MAPPED_RANGE: + if coords is Coords.SLANT_RANGE or\ + coords is Coords.GROUND_SCATTER_MAPPED_RANGE: ax.yaxis.set_minor_locator(ticker.AutoMinorLocator(2)) else: ax.yaxis.set_minor_locator(ticker.MultipleLocator(5)) @@ -464,8 +465,10 @@ def plot_range_time(cls, dmap_data: List[dict], parameter: str = 'v', if isinstance(norm, colors.LogNorm): cb = ax.figure.colorbar(im, ax=ax, extend='both') else: - locator = ticker.MaxNLocator(symmetric=True, min_n_ticks=3, - integer=True, nbins='auto') + locator = ticker.MaxNLocator(symmetric=True, + min_n_ticks=3, + integer=True, + nbins='auto') ticks = locator.tick_values(vmin=zmin, vmax=zmax) cb = ax.figure.colorbar(im, ax=ax, extend='both', ticks=ticks) @@ -572,8 +575,7 @@ def plot_time_series(cls, dmap_data: List[dict], try: # because of partial records we need to find the first # record that has that parameter - index_first_match = next(i for i, d in enumerate(dmap_data) - if parameter in d) + next(i for i, d in enumerate(dmap_data) if parameter in d) except StopIteration: raise plot_exceptions.UnknownParameterError(parameter) @@ -658,7 +660,8 @@ def plot_time_series(cls, dmap_data: List[dict], if parameter == 'tfreq': # Convert kHz to MHz by dividing by 1000 y.append(dmap_record[parameter]/1000) - elif isinstance(dmap_record[parameter], np.ndarray): + elif isinstance(dmap_record[parameter], + np.ndarray): if gate in dmap_record['slist']: for i in range(len(dmap_record['slist'])): if dmap_record['slist'][i] == gate: @@ -735,7 +738,7 @@ def plot_time_series(cls, dmap_data: List[dict], @classmethod def plot_summary(cls, dmap_data: List[dict], - figsize: tuple = (11, 8.5), + beam_num: int = 0, figsize: tuple = (11, 8.5), watermark: bool = True, boundary: dict = {}, cmaps: dict = {}, lines: dict = {}, plot_elv: bool = True, title=None, @@ -978,7 +981,7 @@ def plot_summary(cls, dmap_data: List[dict], # warnings are not caught with try/except with warnings.catch_warnings(): warnings.simplefilter("ignore") - cls.plot_time_series(dmap_data, + cls.plot_time_series(dmap_data, beam_num=beam_num, parameter=axes_parameters[i][1], color=line[axes_parameters[i][1]], channel=channel, @@ -1041,7 +1044,7 @@ def plot_summary(cls, dmap_data: List[dict], with warnings.catch_warnings(): warnings.simplefilter("ignore") _, cbar, _, x, _, _ =\ - cls.plot_range_time(dmap_data, + cls.plot_range_time(dmap_data, beam_num=beam_num, colorbar_label=labels[i], channel=channel, parameter=axes_parameters[i], @@ -1081,7 +1084,7 @@ def plot_summary(cls, dmap_data: List[dict], axes[i].set_xlabel('Date (UTC)') if title is None: - plt.title(cls.__generate_title(x[0], x[-1], kwargs['beam_num'], + plt.title(cls.__generate_title(x[0], x[-1], beam_num, channel), y=2.4) else: plt.title(title, y=2.4) From b43f436da6919a09a06a5fb485215fdf855c02c5 Mon Sep 17 00:00:00 2001 From: mts299 Date: Fri, 6 Aug 2021 13:31:36 -0600 Subject: [PATCH 060/109] summary plots now added to testing --- test/test_RTP.py | 58 +++++++++++++++++++++++++++++++++++++++++------- 1 file changed, 50 insertions(+), 8 deletions(-) diff --git a/test/test_RTP.py b/test/test_RTP.py index c5d0c675d..5a3626b00 100644 --- a/test/test_RTP.py +++ b/test/test_RTP.py @@ -37,6 +37,12 @@ def test_normal_time_series(self): with warnings.catch_warnings(record=True): pydarn.RTP.plot_time_series(data) + def test_normal_time_series(self): + """ """ + with warnings.catch_warnings(record=True): + pydarn.RTP.plot_summary(data) + + @pytest.mark.parametrize('background', ['w']) @pytest.mark.parametrize('zmin', [0, -200]) @pytest.mark.parametrize('zmax', [200, 1000]) @@ -73,10 +79,10 @@ def test_parameters_range_time(self, groundscatter_params, plt.close('all') def test_parameters_channel_2_range_time(self, groundscatter_params, - parameters, background, zmin, zmax, - start_time, end_time, ymin, ymax, - colorbar_label, yspacing, - coords, cmap, date_fmt): + parameters, background, zmin, + zmax, start_time, end_time, + ymin, ymax, colorbar_label, + yspacing, coords, cmap, date_fmt): """ this test will give bare minimum input needed for """ with warnings.catch_warnings(record=True): pydarn.RTP.plot_range_time(data, beam_num=9, @@ -121,7 +127,7 @@ def test_parameters_time_series_channel2(self, parameters_scalar, gate, linestyle=linestyle, linewidth=linewidth) - def test_parameters_time_series_channel2(self, parameters_scalar, gate, + def test_parameters_time_series_channel1(self, parameters_scalar, gate, scale, cp_name, color, linestyle, linewidth, date_fmt, end_time, start_time): @@ -138,10 +144,46 @@ def test_parameters_time_series_channel2(self, parameters_scalar, gate, linestyle=linestyle, linewidth=linewidth) + +@pytest.mark.parametrize('fig_size', [(11, 10), (10, 11)]) +@pytest.mark.parametrize('watermark', [False, True]) +@pytest.mark.parametrize('boundary', [{'w_l': (0, 100), + 'nave': (0, 30), + 'elv': (0, 20), + 'tfreq': (0, 15)}]) +@pytest.mark.parametrize('cmaps', [{'elv': plt.get_cmap('rainbow'), + 'p_l': plt.get_cmap('rainbow'), + 'vel': plt.get_cmap('rainbow')}]) +@pytest.mark.parametrize('lines', [{'nave': '--', 'tfreq': '.'}]) +@pytest.mark.parametrize('plot_elv', [False]) +@pytest.mark.parametrize('title', ['test test']) +@pytest.mark.parametrize('background', ['grey']) +@pytest.mark.parametrize('groundscatter', [False, 'grey']) +@pytest.mark.parametrize('coords', [pydarn.Coords.RANGE_GATE, + pydarn.Coords.GROUND_SCATTER_MAPPED_RANGE]) class TestSummaryPlots: - def test_default_summary_plots(self): + def test_params_summary_plots(self, fig_size, watermark, boundary, cmaps, + lines, plot_elv, title, background, + groundscatter, coords): + with warnings.catch_warnings(record=True): + pydarn.RTP.plot_summary(data, beam_num=15, channel=1, + figsize=fig_size, watermark=watermark, + boundary=boundary, cmaps=cmaps, + lines=lines, plot_elv=plot_elv, + title=title, background=background, + groundscatter=groundscatter, coords=coords) + plt.close('all') - def test_params_summary_plots(self): + def test_beam9_channel2_summary_plots(self, fig_size, watermark, boundary, + cmaps, lines, plot_elv, title, + background, groundscatter, coords): + with warnings.catch_warnings(record=True): + pydarn.RTP.plot_summary(data, beam_num=9, channel=2, + figsize=fig_size, watermark=watermark, + boundary=boundary, cmaps=cmaps, + lines=lines, plot_elv=plot_elv, + title=title, background=background, + groundscatter=groundscatter, coords=coords) + plt.close('all') - def test_beam9_channel2_summary_plots(self): From eb627dfa6bbd21ddbd01824cf285ee9485b44db5 Mon Sep 17 00:00:00 2001 From: mts299 Date: Fri, 6 Aug 2021 13:33:22 -0600 Subject: [PATCH 061/109] fixed some bugs --- pydarn/plotting/rtp.py | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/pydarn/plotting/rtp.py b/pydarn/plotting/rtp.py index 471408954..8c21ed2f1 100644 --- a/pydarn/plotting/rtp.py +++ b/pydarn/plotting/rtp.py @@ -948,7 +948,7 @@ def plot_summary(cls, dmap_data: List[dict], # ignore the warnings because summary plots # has its own warning message warnings.simplefilter("ignore") - cls.plot_time_series(dmap_data, + cls.plot_time_series(dmap_data, beam_num=beam_num, parameter=axes_parameters[i][0], scale=scale, channel=channel, color=line[axes_parameters[i][0]], @@ -1018,7 +1018,8 @@ def plot_summary(cls, dmap_data: List[dict], # the citing warning. with warnings.catch_warnings(): warnings.simplefilter("ignore") - cls.plot_time_series(dmap_data, channel=channel, + cls.plot_time_series(dmap_data, beam_num=beam_num, + channel=channel, parameter=axes_parameters[i], ax=axes[i], **kwargs) axes[i].set_ylabel('CPID', rotation=0, labelpad=30) From a89d0fd63e9a8797a60a7213be4645a35970ce58 Mon Sep 17 00:00:00 2001 From: mts299 Date: Mon, 9 Aug 2021 15:15:58 -0600 Subject: [PATCH 062/109] wrote tests for fan and grid plotting methods --- test/test_Fan.py | 85 +++++++++++++++++++++++++++++++++++++++++++++++ test/test_Grid.py | 62 ++++++++++++++++++++++++++++++++++ 2 files changed, 147 insertions(+) create mode 100644 test/test_Fan.py create mode 100644 test/test_Grid.py diff --git a/test/test_Fan.py b/test/test_Fan.py new file mode 100644 index 000000000..2c173f2a8 --- /dev/null +++ b/test/test_Fan.py @@ -0,0 +1,85 @@ +# Copyright (C) 2020 SuperDARN Canada, University of Saskatchewan +# Author: Marina Schmidt +# +# Modifications: +# +# Disclaimer: +# pyDARN is under the LGPL v3 license found in the root directory LICENSE.md +# Everyone is permitted to copy and distribute verbatim copies of this license +# document, but changing it is not allowed. +# +# This version of the GNU Lesser General Public License incorporates the terms +# and conditions of version 3 of the GNU General Public License, +# supplemented by the additional permissions listed below. + +import bz2 +import datetime as dt +import matplotlib.pyplot as plt +import pytest +import warnings + +import pydarn + +with bz2.open('data/test.fitacf.bz2') as fp: + fitacf_stream = fp.read() +data = pydarn.SuperDARNRead(fitacf_stream, True).read_fitacf() + + +class TestFan_defaults: + + def test_fan_defaults(self): + """ """ + with warnings.catch_warnings(record=True): + pydarn.Fan.plot_fan(data) + + def test_fov_series(self): + """ """ + with warnings.catch_warnings(record=True): + pydarn.Fan.plot_fov(6, dt.datetime(2020, 4, 4, 6, 2)) + + +@pytest.mark.parametrize('stid', [5, 97]) +@pytest.mark.parametrize('ranges', [(5,70)]) +@pytest.mark.parametrize('boundary', [False, True]) +@pytest.mark.parametrize('fov_color', ['grey']) +@pytest.mark.parametrize('alpha', [0.8, 1]) +@pytest.mark.parametrize('radar_location', [False]) +@pytest.mark.parametrize('radar_label', [True]) +@pytest.mark.parametrize('line_color', ['red']) +@pytest.mark.parametrize('date', [dt.datetime(2020, 4, 4, 6, 2)]) +class TestFov: + + def test_parameters_range_time(self, stid, ranges, boundary, fov_color, + alpha, radar_location, radar_label, + line_color, date): + """ this test will give bare minimum input needed for """ + with warnings.catch_warnings(record=True): + pydarn.Fan.plot_fov(stid=stid, ranges=ranges, + boundary=boundary, fov_color=fov_color, + alpha=alpha, + radar_location=radar_location, + radar_label=radar_label, + line_color=line_color, date=date) + plt.close('all') + + +@pytest.mark.parametrize('parameter', ['p_l', 'w_l', 'v']) +@pytest.mark.parametrize('cmap', [plt.get_cmap('rainbow')]) +@pytest.mark.parametrize('groundscatter', [True]) +@pytest.mark.parametrize('colorbar', [False]) +@pytest.mark.parametrize('colorbar_label', 'green') +@pytest.mark.parametrize('zmin', [0]) +@pytest.mark.parametrize('zmax', [100]) +@pytest.mark.parametrize('title', [False]) +class TestFan: + + def test_fan_plot(self, parameter, cmap, groundscatter, colorbar, + colorbar_label, zmin, zmax, title): + """ + + """ + with warnings.catch_warnings(record=True): + pydarn.Fan.plot_fan(data, parameter=parameter, cmap=cmap, + groundscatter=groundscatter, colorbar=colorbar, + colorbar_label=colorbar_label, zmin=zmin, zmax=zmax, + title=title) diff --git a/test/test_Grid.py b/test/test_Grid.py new file mode 100644 index 000000000..7d89ac92c --- /dev/null +++ b/test/test_Grid.py @@ -0,0 +1,62 @@ +# Copyright (C) 2020 SuperDARN Canada, University of Saskatchewan +# Author: Marina Schmidt +# +# Modifications: +# +# Disclaimer: +# pyDARN is under the LGPL v3 license found in the root directory LICENSE.md +# Everyone is permitted to copy and distribute verbatim copies of this license +# document, but changing it is not allowed. +# +# This version of the GNU Lesser General Public License incorporates the terms +# and conditions of version 3 of the GNU General Public License, +# supplemented by the additional permissions listed below. + +import bz2 +import datetime as dt +import matplotlib.pyplot as plt +import pytest +import warnings + +import pydarn + +data = pydarn.SuperDARNRead('data/test.grid').read_grid() + + +class TestGrid_defaults: + + def test_grid_defaults(self): + """ """ + with warnings.catch_warnings(record=True): + pydarn.Grid.plot_grid(data) + +@pytest.mark.parametrize('colorbar', [False]) +@pytest.mark.parametrize('colorbar_label', 'green') +@pytest.mark.parametrize('title', [False]) +@pytest.mark.parametrize('cmap', [plt.get_cmap('rainbow')]) +@pytest.mark.parametrize('record', [2]) +@pytest.mark.parametrize('ranges', [(5,70)]) +@pytest.mark.parametrize('time_delta', [2]) +@pytest.mark.parametrize('parameter', ['wdt', 'pwr']) +@pytest.mark.parametrize('radar_location', [False]) +@pytest.mark.parametrize('radar_label', [True]) +@pytest.mark.parametrize('start_time', [dt.datetime(2021, 2, 5, 12, 5)]) +@pytest.mark.parametrize('zmin', [0]) +@pytest.mark.parametrize('zmax', [100]) +@pytest.mark.parametrize('len_factor', [150.0, 100.0]) +class TestGrid: + + def test_plot_grid(self, record, colorbar, colorbar_label, + title, cmap, ranges, time_delta, + parameter, radar_location, radar_label, + start_time, zmin, zmax, len_factor): + """ this test will give bare minimum input needed for """ + with warnings.catch_warnings(record=True): + pydarn.Grid.plot_grid(data, ranges=ranges, + record=record, time_delta=time_delta, + parameter=parameter, + radar_location=radar_location, + radar_label=radar_label, + start_time=start_time, zmin=zmin, + zmax=zmax, len_factor=len_factor) + plt.close('all') From 65d4235d01a611b3e6b9af3ec1c5b272664501bf Mon Sep 17 00:00:00 2001 From: mts299 Date: Wed, 11 Aug 2021 12:54:52 -0600 Subject: [PATCH 063/109] updated the structure to allow it be called from travis ci --- .travis.yml | 2 +- test/test_Fan.py | 2 +- test/test_Grid.py | 2 +- test/test_RTP.py | 2 +- 4 files changed, 4 insertions(+), 4 deletions(-) diff --git a/.travis.yml b/.travis.yml index e072a9ed6..c09ad9831 100644 --- a/.travis.yml +++ b/.travis.yml @@ -50,4 +50,4 @@ install: - pip3 install . - pip3 install pytest - pip3 install pydarnio -script: pytest --ignore=test/integration +script: pytest --ignore=test/data diff --git a/test/test_Fan.py b/test/test_Fan.py index 2c173f2a8..0b2dc4940 100644 --- a/test/test_Fan.py +++ b/test/test_Fan.py @@ -20,7 +20,7 @@ import pydarn -with bz2.open('data/test.fitacf.bz2') as fp: +with bz2.open('test/data/test.fitacf.bz2') as fp: fitacf_stream = fp.read() data = pydarn.SuperDARNRead(fitacf_stream, True).read_fitacf() diff --git a/test/test_Grid.py b/test/test_Grid.py index 7d89ac92c..a849fe8c2 100644 --- a/test/test_Grid.py +++ b/test/test_Grid.py @@ -20,7 +20,7 @@ import pydarn -data = pydarn.SuperDARNRead('data/test.grid').read_grid() +data = pydarn.SuperDARNRead('test/data/test.grid').read_grid() class TestGrid_defaults: diff --git a/test/test_RTP.py b/test/test_RTP.py index 5a3626b00..c0db791be 100644 --- a/test/test_RTP.py +++ b/test/test_RTP.py @@ -20,7 +20,7 @@ import pydarn -with bz2.open('data/test.fitacf.bz2') as fp: +with bz2.open('test/data/test.fitacf.bz2') as fp: fitacf_stream = fp.read() data = pydarn.SuperDARNRead(fitacf_stream, True).read_fitacf() From feb5c945fa476b09bfa8926307a3fba88ffca8cc Mon Sep 17 00:00:00 2001 From: Marina Schmidt Date: Wed, 11 Aug 2021 14:22:11 -0600 Subject: [PATCH 064/109] Update test/test_RTP.py Co-authored-by: carleyjmartin <60905856+carleyjmartin@users.noreply.github.com> --- test/test_RTP.py | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/test/test_RTP.py b/test/test_RTP.py index 5a3626b00..2dc04ab75 100644 --- a/test/test_RTP.py +++ b/test/test_RTP.py @@ -102,7 +102,7 @@ def test_parameters_channel_2_range_time(self, groundscatter_params, @pytest.mark.parametrize('gate', [38, 48]) @pytest.mark.parametrize('scale', ['linear', 'log']) @pytest.mark.parametrize('cp_name', [True, False]) -@pytest.mark.parametrize('color', 'green') +@pytest.mark.parametrize('color', 'g') @pytest.mark.parametrize('linestyle', ['--']) @pytest.mark.parametrize('linewidth', [0.5, 2]) @pytest.mark.parametrize('start_time', [dt.datetime(2018, 4, 4, 6, 2)]) @@ -186,4 +186,3 @@ def test_beam9_channel2_summary_plots(self, fig_size, watermark, boundary, title=title, background=background, groundscatter=groundscatter, coords=coords) plt.close('all') - From fa5cab83d785a2acefc9997dccfe34979b83d6bb Mon Sep 17 00:00:00 2001 From: mts299 Date: Thu, 12 Aug 2021 08:53:49 -0600 Subject: [PATCH 065/109] added [ ] brackets around green --- test/test_RTP.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/test/test_RTP.py b/test/test_RTP.py index 5a3626b00..7132130fc 100644 --- a/test/test_RTP.py +++ b/test/test_RTP.py @@ -102,7 +102,7 @@ def test_parameters_channel_2_range_time(self, groundscatter_params, @pytest.mark.parametrize('gate', [38, 48]) @pytest.mark.parametrize('scale', ['linear', 'log']) @pytest.mark.parametrize('cp_name', [True, False]) -@pytest.mark.parametrize('color', 'green') +@pytest.mark.parametrize('color', ['green']) @pytest.mark.parametrize('linestyle', ['--']) @pytest.mark.parametrize('linewidth', [0.5, 2]) @pytest.mark.parametrize('start_time', [dt.datetime(2018, 4, 4, 6, 2)]) From 5d4dd5f0cbce4610150e17086c9a1c24edb0797c Mon Sep 17 00:00:00 2001 From: mts299 Date: Thu, 12 Aug 2021 11:07:09 -0600 Subject: [PATCH 066/109] fixed a summary plot bug with linestyle and colors --- pydarn/plotting/rtp.py | 30 ++++++++++++++++++++---------- 1 file changed, 20 insertions(+), 10 deletions(-) diff --git a/pydarn/plotting/rtp.py b/pydarn/plotting/rtp.py index 8c21ed2f1..54072d7c1 100644 --- a/pydarn/plotting/rtp.py +++ b/pydarn/plotting/rtp.py @@ -743,7 +743,7 @@ def plot_summary(cls, dmap_data: List[dict], cmaps: dict = {}, lines: dict = {}, plot_elv: bool = True, title=None, background: str = 'w', groundscatter: bool = True, - channel: int = 'all', + channel: int = 'all', line_color: dict = {}, coords: object = Coords.SLANT_RANGE, **kwargs): """ Plots the summary of several SuperDARN parameters using time-series and @@ -870,10 +870,19 @@ def plot_summary(cls, dmap_data: List[dict], boundary_ranges.update(boundary) # Default color maps for the summary plot - line = {'noise.search': 'k', - 'noise.sky': 'k', - 'tfreq': 'k', - 'nave': 'k'} + line = {'noise.search': '--', + 'noise.sky': '-', + 'tfreq': '--', + 'nave': '-'} + color = {'noise.search': 'k', + 'noise.sky': 'k', + 'tfreq': 'k', + 'nave': 'k'} + + if isinstance(line_color, dict): + color.update(line_color) + else: + color.update({k: lines for k, v in line_color.items()}) if isinstance(lines, dict): line.update(lines) @@ -951,14 +960,15 @@ def plot_summary(cls, dmap_data: List[dict], cls.plot_time_series(dmap_data, beam_num=beam_num, parameter=axes_parameters[i][0], scale=scale, channel=channel, - color=line[axes_parameters[i][0]], - ax=axes[i], linestyle='-', + color=color[axes_parameters[i][0]], + ax=axes[i], + linestyle=line[axes_parameters[i][0]], label=labels[i][0], **kwargs) axes[i].set_ylabel(labels[i][0], rotation=0, labelpad=30) axes[i].\ axhline(y=boundary_ranges[axes_parameters[i][0]][0] + 0.8, xmin=-0.11, xmax=-0.05, clip_on=False, - color=line[axes_parameters[i][0]]) + color=color[axes_parameters[i][0]]) axes[i].set_ylim(boundary_ranges[axes_parameters[i][0]][0], boundary_ranges[axes_parameters[i][0]][1]) # For better y-axis ticks @@ -983,10 +993,10 @@ def plot_summary(cls, dmap_data: List[dict], warnings.simplefilter("ignore") cls.plot_time_series(dmap_data, beam_num=beam_num, parameter=axes_parameters[i][1], - color=line[axes_parameters[i][1]], + color=color[axes_parameters[i][1]], channel=channel, scale=scale, ax=second_ax, - linestyle='--', **kwargs) + linestyle=line[axes_parameters[i][0]], **kwargs) second_ax.set_xticklabels([]) second_ax.set_ylabel(labels[i][1], rotation=0, labelpad=25) From acb6964f531d206f3c75671f0120d091913f8cc8 Mon Sep 17 00:00:00 2001 From: mts299 Date: Thu, 12 Aug 2021 13:15:48 -0600 Subject: [PATCH 067/109] missed one --- pydarn/plotting/rtp.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/pydarn/plotting/rtp.py b/pydarn/plotting/rtp.py index 54072d7c1..0c866c646 100644 --- a/pydarn/plotting/rtp.py +++ b/pydarn/plotting/rtp.py @@ -1003,8 +1003,8 @@ def plot_summary(cls, dmap_data: List[dict], second_ax.\ axhline(y=boundary_ranges[axes_parameters[i][1]][0] + 0.8, xmin=1.07, xmax=1.13, - clip_on=False, linestyle='--', - color=line[axes_parameters[i][1]]) + clip_on=False, linestyle=line[axes_parameters[i][1]][0], + color=color[axes_parameters[i][1]]) second_ax.\ set_ylim(boundary_ranges[axes_parameters[i][1]][0], boundary_ranges[axes_parameters[i][1]][1]) From b8607fe9cef1c03aab50b86d4e7d160080f33253 Mon Sep 17 00:00:00 2001 From: mts299 Date: Thu, 12 Aug 2021 13:30:47 -0600 Subject: [PATCH 068/109] changed . to - since its not supported --- test/test_RTP.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/test/test_RTP.py b/test/test_RTP.py index 45a9689ac..b5fc9f9ad 100644 --- a/test/test_RTP.py +++ b/test/test_RTP.py @@ -154,7 +154,7 @@ def test_parameters_time_series_channel1(self, parameters_scalar, gate, @pytest.mark.parametrize('cmaps', [{'elv': plt.get_cmap('rainbow'), 'p_l': plt.get_cmap('rainbow'), 'vel': plt.get_cmap('rainbow')}]) -@pytest.mark.parametrize('lines', [{'nave': '--', 'tfreq': '.'}]) +@pytest.mark.parametrize('lines', [{'nave': '--', 'tfreq': '-'}]) @pytest.mark.parametrize('plot_elv', [False]) @pytest.mark.parametrize('title', ['test test']) @pytest.mark.parametrize('background', ['grey']) From 22e2d0840373bb9a53feb6d3843d74d74f0d1445 Mon Sep 17 00:00:00 2001 From: mts299 Date: Thu, 12 Aug 2021 13:47:11 -0600 Subject: [PATCH 069/109] mixed some indexing --- pydarn/plotting/rtp.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/pydarn/plotting/rtp.py b/pydarn/plotting/rtp.py index 0c866c646..5715a76ef 100644 --- a/pydarn/plotting/rtp.py +++ b/pydarn/plotting/rtp.py @@ -985,6 +985,7 @@ def plot_summary(cls, dmap_data: List[dict], if i == 1: # plot the shared parameter second_ax = axes[i].twinx() + # with warning catch, catches all the warnings # that would be produced by time-series this would be # the citing warning. @@ -996,7 +997,7 @@ def plot_summary(cls, dmap_data: List[dict], color=color[axes_parameters[i][1]], channel=channel, scale=scale, ax=second_ax, - linestyle=line[axes_parameters[i][0]], **kwargs) + linestyle=line[axes_parameters[i][1]], **kwargs) second_ax.set_xticklabels([]) second_ax.set_ylabel(labels[i][1], rotation=0, labelpad=25) From 4da366958aff4e579fcb0f10bdeafe195d2f7a9d Mon Sep 17 00:00:00 2001 From: mts299 Date: Thu, 12 Aug 2021 13:53:20 -0600 Subject: [PATCH 070/109] added linestyle into the labels for time_series in summary plots --- pydarn/plotting/rtp.py | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/pydarn/plotting/rtp.py b/pydarn/plotting/rtp.py index 5715a76ef..91d6ad597 100644 --- a/pydarn/plotting/rtp.py +++ b/pydarn/plotting/rtp.py @@ -968,7 +968,8 @@ def plot_summary(cls, dmap_data: List[dict], axes[i].\ axhline(y=boundary_ranges[axes_parameters[i][0]][0] + 0.8, xmin=-0.11, xmax=-0.05, clip_on=False, - color=color[axes_parameters[i][0]]) + color=color[axes_parameters[i][0]], + linestyle=line[axes_parameters[i][0]]) axes[i].set_ylim(boundary_ranges[axes_parameters[i][0]][0], boundary_ranges[axes_parameters[i][0]][1]) # For better y-axis ticks @@ -1004,7 +1005,8 @@ def plot_summary(cls, dmap_data: List[dict], second_ax.\ axhline(y=boundary_ranges[axes_parameters[i][1]][0] + 0.8, xmin=1.07, xmax=1.13, - clip_on=False, linestyle=line[axes_parameters[i][1]][0], + clip_on=False, + linestyle=line[axes_parameters[i][1]], color=color[axes_parameters[i][1]]) second_ax.\ set_ylim(boundary_ranges[axes_parameters[i][1]][0], From 667498c07c5c8c944e6d758dbfb74e5f99608559 Mon Sep 17 00:00:00 2001 From: Francis Tholley Date: Tue, 17 Aug 2021 13:10:05 -0400 Subject: [PATCH 071/109] modularization of virtual heights --- pydarn/__init__.py | 2 + pydarn/utils/radar_pos.py | 62 ++++++--------------------- pydarn/utils/virtual_heights.py | 56 ++++++++++++++++++++++++ pydarn/utils/virtual_heights_types.py | 34 +++++++++++++++ 4 files changed, 105 insertions(+), 49 deletions(-) create mode 100644 pydarn/utils/virtual_heights.py create mode 100644 pydarn/utils/virtual_heights_types.py diff --git a/pydarn/__init__.py b/pydarn/__init__.py index 7e19255cf..e49a4200c 100644 --- a/pydarn/__init__.py +++ b/pydarn/__init__.py @@ -43,6 +43,8 @@ from .utils.radar_pos import radar_fov from .utils.radar_pos import geographic_cell_positions + + # import plotting from .plotting.color_maps import PyDARNColormaps from .plotting.axis import Projections diff --git a/pydarn/utils/radar_pos.py b/pydarn/utils/radar_pos.py index 993179894..a19856fda 100644 --- a/pydarn/utils/radar_pos.py +++ b/pydarn/utils/radar_pos.py @@ -41,6 +41,9 @@ import os import aacgmv2 +from pydarn.utils.virtual_heights_types import VH_types +from pydarn.utils.virtual_heights import standard_virtual_height, chisham + from pydarn import SuperDARNRadars, gate2slant, gate2GroundScatter, Coords from pydarn.utils.constants import EARTH_EQUATORIAL_RADIUS, Re, C @@ -152,7 +155,7 @@ def geographic_cell_positions(stid: int, beam: int, range_gate: int, height: float = None, elv_angle: float = 0.0, reflection_height: float = 250, coords: object = Coords.SLANT_RANGE, - center: bool = True, chisham: bool = False): + center: bool = True, virtual_height_type: object = VH_types.STANDARD_VIRTUAL_HEIGHT): """ determines the geographic cell position for a given range gate and beam @@ -242,7 +245,7 @@ def geographic_cell_positions(stid: int, beam: int, range_gate: int, np.sin(np.radians(elv_angle)) + slant_range**2) lat, lon = geocentric_coordinates(radar_lat, radar_lon, slant_range, - height, psi, boresight, chisham) + height, psi, boresight, virtual_height_type = virtual_height_type) #calculates lon and lat for ground scatter mapped range if coords == Coords.GROUND_SCATTER_MAPPED_RANGE: @@ -257,7 +260,7 @@ def geographic_cell_positions(stid: int, beam: int, range_gate: int, np.sin(np.radians(elv_angle)) + ground_scatter_mapped_range**2) lat, lon = geocentric_coordinates(radar_lat, radar_lon, ground_scatter_mapped_range, - height, psi, boresight, chisham) + height, psi, boresight, virtual_height_type = virtual_height_type) # convert back degrees as preferred units to use? return np.degrees(lat), np.degrees(lon) @@ -267,7 +270,7 @@ def geographic_cell_positions(stid: int, beam: int, range_gate: int, def geocentric_coordinates(radar_lat: float, radar_lon: float, slant_range: float, cell_height: float, psi: float, boresight: float, - chisham: bool = False): + virtual_height_type: object = VH_types.STANDARD_VIRTUAL_HEIGHT ): """ Calculates the geocentric coordinates of gate cell point, using either the standard or Chisham virtual height model. @@ -304,51 +307,12 @@ def geocentric_coordinates(radar_lat: float, radar_lon: float, radars – Part 1: A new empirical virtual height model by G. Chisham 2008 (https://doi.org/10.5194/angeo-26-823-2008) """ - if chisham: - # Model constants - A_const = (108.974, 384.416, 1098.28) - B_const = (0.0191271, -0.178640, -0.354557) - C_const = (6.68283e-5, 1.81405e-4, 9.39961e-5) - - # determine which region of ionosphere the gate - if slant_range < 115: - x_height = (slant_range / 115.0) * 112.0 - elif slant_range < 787.5: - x_height = A_const[0] + B_const[0] * slant_range + C_const[0] *\ - slant_range**2 - elif slant_range <= 2137.5: - x_height = A_const[1] + B_const[1] * slant_range + C_const[1] *\ - slant_range**2 - else: - x_height = A_const[2] + B_const[2] * slant_range + C_const[2] *\ - slant_range**2 - else: - """ - cell_height, slant_range and x_height are in km - Default values set in virtual height model described - Mapping ionospheric backscatter measured by the SuperDARN HF - radars – Part 1: A new empirical virtual height model by - G. Chisham 2008 - Equation (1) in the paper - < 150 km climbing into the E region - 150 - 600 km E region scatter - (Note in the paper 400 km is the edge of the E region) - 600 - 800 km is F region - """ - # TODO: why 115? - # map everything into the E region - if cell_height <= 150 and slant_range > 150: - x_height = cell_height - # virtual height equation (1) from the above paper - elif slant_range < 150: - x_height = (slant_range / 150.0) * 115 - elif slant_range >= 150 and slant_range <= 600: - x_height = 115 - elif slant_range > 600 and slant_range < 800: - x_height = (slant_range - 600) / 200 * (cell_height - 115) + 115 - # higher than 800 km - else: - x_height = cell_height + if virtual_height_type == VH_types.CHISHAM: + x_height = chisham(slant_range) + + if virtual_height_type == VH_types.STANDARD_VIRTUAL_HEIGHT: + x_height = standard_virtual_height(slant_range, cell_height) + # calculate the radius over the earth underneath # the radar and range gate cell rlat, rlon, r_radar, delta = geodetic2geocentric(radar_lat, radar_lon) diff --git a/pydarn/utils/virtual_heights.py b/pydarn/utils/virtual_heights.py new file mode 100644 index 000000000..bea6919b2 --- /dev/null +++ b/pydarn/utils/virtual_heights.py @@ -0,0 +1,56 @@ +""" virtual_heights.py comprises of different types of virtual heights""" + +def chisham(slant_range: float): + # Gareth Chisham Virtual height model: + """ + Mapping ionospheric backscatter measured by the SuperDARN HF + radars – Part 1: A new empirical virtual height model by + G. Chisham 2008 (https://doi.org/10.5194/angeo-26-823-2008) + """ + # Model constants + A_const = (108.974, 384.416, 1098.28) + B_const = (0.0191271, -0.178640, -0.354557) + C_const = (6.68283e-5, 1.81405e-4, 9.39961e-5) + + # determine which region of ionosphere the gate + if slant_range < 115: + return (slant_range / 115.0) * 112.0 + elif slant_range < 787.5: + return A_const[0] + B_const[0] * slant_range + C_const[0] *\ + slant_range**2 + elif slant_range <= 2137.5: + return A_const[1] + B_const[1] * slant_range + C_const[1] *\ + slant_range**2 + else: + return A_const[2] + B_const[2] * slant_range + C_const[2] *\ + slant_range**2 + + +def standard_virtual_height(slant_range: float, cell_height: float): + """ + cell_height, slant_range and x_height are in km + Default values set in virtual height model described + Mapping ionospheric backscatter measured by the SuperDARN HF + radars – Part 1: A new empirical virtual height model by + G. Chisham 2008 + Equation (1) in the paper + < 150 km climbing into the E region + 150 - 600 km E region scatter + (Note in the paper 400 km is the edge of the E region) + 600 - 800 km is F region + """ + # TODO: why 115? + # map everything into the E region + if cell_height <= 150 and slant_range > 150: + return cell_height + # virtual height equation (1) from the above paper + elif slant_range < 150: + return (slant_range / 150.0) * 115 + elif slant_range >= 150 and slant_range <= 600: + return 115 + elif slant_range > 600 and slant_range < 800: + return (slant_range - 600) / 200 * (cell_height - 115) + 115 + # higher than 800 km + else: + return cell_height + diff --git a/pydarn/utils/virtual_heights_types.py b/pydarn/utils/virtual_heights_types.py new file mode 100644 index 000000000..c20215e51 --- /dev/null +++ b/pydarn/utils/virtual_heights_types.py @@ -0,0 +1,34 @@ +# (C) Copyright 2021 SuperDARN Canada, University of Saskatchewan +# Author(s): Marina Schmidt +# +# This file is part of the pyDARN Library. +# +# pyDARN is under the LGPL v3 license found in the root directory LICENSE.md +# Everyone is permitted to copy and distribute verbatim copies of this license +# document, but changing it is not allowed. +# +# This version of the GNU Lesser General Public License incorporates the terms +# and conditions of version 3 of the GNU Lesser General Public License, +# supplemented by the additional permissions listed below. +# +# Modifications: +# + +""" +virtual_heights_types.py is a group of methods that focus on the type of virtual heights +""" +import enum + +class VH_types(enum.Enum): + """ + This virtual height types class is to list the current virtual height systems + a user can pick from + + enumerators: + STANDARD_VIRTUAL_HEIGHT: Standard_Virtual_height (km) + CHISHAM: chisham (km) + """ + + STANDARD_VIRTUAL_HEIGHT = enum.auto() + CHISHAM = enum.auto() + From d08365c2aa1d57c805fe36a2a753348e68d19a66 Mon Sep 17 00:00:00 2001 From: Marina Schmidt Date: Tue, 31 Aug 2021 15:05:24 -0600 Subject: [PATCH 072/109] Update test/test_Grid.py Co-authored-by: carleyjmartin <60905856+carleyjmartin@users.noreply.github.com> --- test/test_Grid.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/test/test_Grid.py b/test/test_Grid.py index 7d89ac92c..5cba4b216 100644 --- a/test/test_Grid.py +++ b/test/test_Grid.py @@ -20,7 +20,7 @@ import pydarn -data = pydarn.SuperDARNRead('data/test.grid').read_grid() +data = pydarn.SuperDARNRead('data/test.grd').read_grid() class TestGrid_defaults: From e3d80f821255265425d0edab96ce4e19643d2e9f Mon Sep 17 00:00:00 2001 From: carleyjmartin <60905856+carleyjmartin@users.noreply.github.com> Date: Wed, 1 Sep 2021 10:50:56 -0600 Subject: [PATCH 073/109] Update test/test_Grid.py --- test/test_Grid.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/test/test_Grid.py b/test/test_Grid.py index bf3a98d9d..3ac4468f1 100644 --- a/test/test_Grid.py +++ b/test/test_Grid.py @@ -21,7 +21,7 @@ import pydarn -data = pydarn.SuperDARNRead('data/test.grd').read_grid() +data = pydarn.SuperDARNRead('test/data/test.grd').read_grid() class TestGrid_defaults: From 417db84be9d4b4448cdc2cf1f3a0842e763bfad0 Mon Sep 17 00:00:00 2001 From: Marina Schmidt Date: Wed, 1 Sep 2021 15:37:46 -0600 Subject: [PATCH 074/109] Revert "Ehn/virtual height modularization" --- pydarn/__init__.py | 2 - pydarn/plotting/fan.py | 466 +++++--------------------- pydarn/plotting/rtp.py | 4 +- pydarn/utils/radar_pos.py | 130 +++---- pydarn/utils/virtual_heights.py | 56 ---- pydarn/utils/virtual_heights_types.py | 34 -- 6 files changed, 149 insertions(+), 543 deletions(-) delete mode 100644 pydarn/utils/virtual_heights.py delete mode 100644 pydarn/utils/virtual_heights_types.py diff --git a/pydarn/__init__.py b/pydarn/__init__.py index e49a4200c..7e19255cf 100644 --- a/pydarn/__init__.py +++ b/pydarn/__init__.py @@ -43,8 +43,6 @@ from .utils.radar_pos import radar_fov from .utils.radar_pos import geographic_cell_positions - - # import plotting from .plotting.color_maps import PyDARNColormaps from .plotting.axis import Projections diff --git a/pydarn/plotting/fan.py b/pydarn/plotting/fan.py index 075e2d1d0..c325b8a2d 100644 --- a/pydarn/plotting/fan.py +++ b/pydarn/plotting/fan.py @@ -19,6 +19,7 @@ """ Fan plots, mapped to AACGM coordinates in a polar format """ + import datetime as dt import matplotlib.pyplot as plt import numpy as np @@ -34,16 +35,6 @@ SuperDARNRadars, Hemisphere, Projections) -# handle cartopy ad-hoc -try: - from cartopy.mpl import geoaxes - import cartopy.crs as ccrs - import cartopy.feature as cfeature - from cartopy.mpl.gridliner import LONGITUDE_FORMATTER, LATITUDE_FORMATTER - cartopyInstalled = True -except Exception: - cartopyInstalled = False - class Fan(): """ 'Fan', or 'Field-of-view' plots for SuperDARN FITACF data @@ -65,16 +56,11 @@ def __str__(self): @classmethod def plot_fan(cls, dmap_data: List[dict], ax=None, scan_index: Union[int, dt.datetime] = 1, - ranges: List = None, boundary: bool = True, - line_color: str = 'black', alpha: int = 0.5, - parameter: str = 'v', lowlat: int = 30, cmap: str = None, - groundscatter: bool = False, reflection_height: float = 250, - zmin: int = None, zmax: int = None, - colorbar: bool = True, coords: object = Coords.AACGM, - colorbar_label: str = '', radar_location: bool = True, - radar_label: bool = False, title: bool = True, - fov_files: bool = False, **kwargs): - + parameter: str = 'v', cmap: str = None, + groundscatter: bool = False, zmin: int = None, + zmax: int = None, colorbar: bool = True, + colorbar_label: str = '', title: bool = True, + **kwargs): """ Plots a radar's Field Of View (FOV) fan plot for the given data and scan number @@ -95,20 +81,6 @@ def plot_fan(cls, dmap_data: List[dict], ax=None, parameter: str Key name indicating which parameter to plot. Default: v (Velocity). Alternatives: 'p_l', 'w_l', 'elv' - ranges: list - Set to a two element list of the lower and upper ranges to plot - If None, then nrang from the data is used - Default: None - boundary: bool - Set to false to not plot the outline of the FOV - Default: True - line_color: str - set the line and dot color - default: black - alpha: int - alpha controls the transparency of - the fov color - Default: 0.5 cmap: matplotlib.cm matplotlib colour map https://matplotlib.org/tutorials/colors/colormaps.html @@ -116,9 +88,6 @@ def plot_fan(cls, dmap_data: List[dict], ax=None, groundscatter : bool Set true to indicate if groundscatter should be plotted in grey Default: False - reflection_height: float - reflection height - default: 250 zmin: int The minimum parameter value for coloring Default: {'p_l': [0], 'v': [-200], 'w_l': [0], 'elv': [0]} @@ -128,9 +97,6 @@ def plot_fan(cls, dmap_data: List[dict], ax=None, colorbar: bool Draw a colourbar if True Default: True - coords: Coords - set the y-axis to a desired coordinate system - Default: Coords.AACGM colorbar_label: str the label that appears next to the colour bar. Requires colorbar to be true @@ -195,7 +161,7 @@ def plot_fan(cls, dmap_data: List[dict], ax=None, # Time for coordinate conversion if not scan_time: - date = time2datetime(dmap_data[plot_beams[0][0]]) + date = time2datetime(dmap_data[plot_beams[0][0]]) else: date = scan_time @@ -203,21 +169,15 @@ def plot_fan(cls, dmap_data: List[dict], ax=None, if ranges is None: ranges = [0, dmap_data[0]['nrang']] - # Get radar beam/gate locations - beam_corners_aacgm_lats, beam_corners_aacgm_lons = \ - radar_fov(stid=dmap_data[0]['stid'], rsep=dmap_data[0]['rsep'], frang=dmap_data[0]['frang'], reflection_height=reflection_height, coords=coords, ranges=ranges, - date=date, max_beams=None, read_file=fov_files) + beam_corners_aacgm_lats, beam_corners_aacgm_lons, thetas, rs, ax = \ + cls.plot_fov(dmap_data[0]['stid'], date, **kwargs) - # Where in the world are we - if np.all(beam_corners_aacgm_lats > 0): - northern_hemisphere = True - else: - northern_hemisphere = False - pole_lat = 90 if northern_hemisphere else -90 - - # How many beams and gates do we need fan_shape = beam_corners_aacgm_lons.shape + # Get range-gate data and groundscatter array for given scan + scan = np.zeros((fan_shape[0] - 1, fan_shape[1]-1)) + grndsct = np.zeros((fan_shape[0] - 1, fan_shape[1]-1)) + # Colour table and max value selection depending on parameter plotted # Load defaults if none given if cmap is None: @@ -237,9 +197,6 @@ def plot_fan(cls, dmap_data: List[dict], ax=None, norm = colors.Normalize norm = norm(zmin, zmax) - # Get range-gate data and groundscatter array for given scan - scan = np.zeros((fan_shape[0] - 1, fan_shape[1]-1)) - grndsct = np.zeros((fan_shape[0] - 1, fan_shape[1]-1)) for i in np.nditer(plot_beams): try: # get a list of gates where there is data @@ -261,189 +218,27 @@ def plot_fan(cls, dmap_data: List[dict], ax=None, # if there is no slist field this means partial record except KeyError: continue - - # Initializes lons and lats to be used in cartopy coordinate transformation - lons = np.concatenate( - (beam_corners_aacgm_lons[ranges[0], :], - beam_corners_aacgm_lons[ranges[0]:ranges[1], -1], - beam_corners_aacgm_lons[ranges[1], ::-1], - beam_corners_aacgm_lons[ranges[1]:ranges[0]:-1, 0], - [beam_corners_aacgm_lons[0, 0]])) - lats = np.concatenate( - (beam_corners_aacgm_lats[ranges[0], :], - beam_corners_aacgm_lats[ranges[0]:ranges[1], -1], - beam_corners_aacgm_lats[ranges[1], ::-1], - beam_corners_aacgm_lats[ranges[1]:ranges[0]:-1, 0], - [beam_corners_aacgm_lats[0, 0]])) - - if np.isnan(beam_corners_aacgm_lons).any() or np.isnan(beam_corners_aacgm_lats).any(): - # Reshapes longitude when there are nans - y0inx = np.min(np.where(np.isfinite(beam_corners_aacgm_lons))[0]) - beam_corners_aacgm_lons = beam_corners_aacgm_lons[y0inx:] - # Reshapes latitude when there are nans - y0inx = np.min(np.where(np.isfinite(beam_corners_aacgm_lats))[0]) - beam_corners_aacgm_lats = beam_corners_aacgm_lats[y0inx:] - fan_shape=beam_corners_aacgm_lons.shape - # Reshapes scan data when both lons and lats have nans - scan=scan[y0inx:] - - # Reinitialize lons and lats to be used in cartopy coordinate transform when lons and lats have nans - lons = np.concatenate( - (beam_corners_aacgm_lons[ranges[0], :], - beam_corners_aacgm_lons[ranges[0]:fan_shape[0], -1], - beam_corners_aacgm_lons[fan_shape[0]-1, ::-1], - beam_corners_aacgm_lons[fan_shape[0]:ranges[0]:-1, 0], - [beam_corners_aacgm_lons[0, 0]])) - lats = np.concatenate( - (beam_corners_aacgm_lats[ranges[0], :], - beam_corners_aacgm_lats[ranges[0]:fan_shape[0], -1], - beam_corners_aacgm_lats[fan_shape[0]-1, ::-1], - beam_corners_aacgm_lats[fan_shape[0]:ranges[0]:-1, 0], - [beam_corners_aacgm_lats[0, 0]])) - - # Initializes stid - stid = dmap_data[0]['stid'] - - if coords == Coords.AACGM: - # Work out shift due in MLT - beam_corners_mlts = np.zeros((fan_shape[0], fan_shape[1])) - mltshift = beam_corners_aacgm_lons[0, 0] - \ - (aacgmv2.convert_mlt(beam_corners_aacgm_lons[0, 0], date) * 15) - beam_corners_mlts = beam_corners_aacgm_lons - mltshift - - # Hold the beam positions - thetas = np.radians(beam_corners_mlts) - rs = beam_corners_aacgm_lats - - # Setup plot - # This may screw up references - if ax is None: - # Get the hemisphere to pass to plotting projection - kwargs['hemisphere'] = SuperDARNRadars.radars[stid].hemisphere - # Get a polar projection using any kwarg input - fig = plt.figure(figsize=(12,12)) - ax = Projections.axis_polar(**kwargs) - - # a single* call to pcolormesh to handle all the - # range gates in the scan - ax.pcolormesh(thetas, - rs, - np.ma.masked_array(scan, ~scan.astype(bool)), - norm=norm, cmap=cmap) - # plot the groundscatter as grey fill - - if boundary: - lons = np.concatenate( - (thetas[ranges[0], :], - thetas[ranges[0]:ranges[1], -1], - thetas[ranges[1], ::-1], - thetas[ranges[1]:ranges[0]:-1, 0], - [thetas[0, 0]])) - lats = np.concatenate( - (rs[ranges[0], :], - rs[ranges[0]:ranges[1], -1], - rs[ranges[1], ::-1], - rs[ranges[1]:ranges[0]:-1, 0], - [rs[0, 0]])) - # right boundary line - plt.polar(lons, lats, color=line_color, linewidth=1.2) - - - if groundscatter: - ax.pcolormesh(thetas, - rs, - np.ma.masked_array(grndsct, - ~grndsct.astype(bool)), - norm=norm, cmap='Greys') - # *There exists a bug in matplotlib pcolormesh when plotting in - # polar projections that gets rid of the rgrid. Replot them here: - for lat in range(pole_lat, lowlat, -10 - if northern_hemisphere else 10): - ax.plot(np.linspace(0, np.radians(360), 360), - [lat] * 360, 'grey', alpha=0.6) - for lon in range(0, 360, 45): - ax.plot([np.radians(lon)] * 2, - [pole_lat, lowlat], 'grey', alpha=0.6) - - # the alternative is to plot using catropy - else: - # first, check if cartopy is installed: - if not cartopyInstalled: - raise plot_exceptions.CartopyMissingError() - # no need to shift any coords, let cartopy do that - # however, we do need to figure out - # how much to rotate the projection - deg_from_midnight = (date.hour + date.minute / 60) / 24 * 360 - if northern_hemisphere: - noon = -deg_from_midnight - else: - noon = 360 - deg_from_midnight - # handle none types or wrongly built axes - if type(ax) != geoaxes.GeoAxesSubplot: - proj = ccrs.Orthographic(noon, pole_lat) - ax = plt.subplot(111, projection=proj, aspect='auto') - grid_lines = ax.gridlines(draw_labels=True,linewidth=1, color='black',) - grid_lines.xformatter = LONGITUDE_FORMATTER - grid_lines.yformatter = LATITUDE_FORMATTER - ax.coastlines(resolution='110m') - ax.add_feature(cfeature.LAND, color='lightgrey') - ax.add_feature(cfeature.OCEAN, color = 'white') - - - geo = ccrs.Geodetic() - point = proj.transform_points(geo,lons, lats) - """ax.gridlines(ylocs=np.arange(pole_lat, 0, -5 - if northern_hemisphere else 5))""" - - - - ax.pcolormesh(beam_corners_aacgm_lons, - beam_corners_aacgm_lats, - np.ma.masked_array(scan, ~scan.astype(bool)), - norm=norm, cmap=cmap, - transform=ccrs.PlateCarree()) - if boundary: - plt.plot(point[:,0], point[:,1], color=line_color, linewidth=1) - - if groundscatter: - ax.pcolormesh(beam_corners_aacgm_lons, - beam_corners_aacgm_lats, - np.ma.masked_array(grndsct, - ~grndsct.astype(bool)), - norm=norm, cmap='Greys', - transform=ccrs.PlateCarree()) - - # For some reason, cartopy won't allow extents - # much greater than this - # - there should probably be an option to allow autscaling - # - perhaps this is a projection issue? - extent = min(45e5, - (abs(proj.transform_point(noon, lowlat, - ccrs.PlateCarree()) - [1]))) - ax.set_extent(extents=(-extent, extent, -extent, extent), - crs=proj) - #ax.set_extent([-180, 90, 0, 0], crs=ccrs.PlateCarree()) - else: - ax.pcolormesh(beam_corners_aacgm_lons, - beam_corners_aacgm_lats, - np.ma.masked_array(scan, ~scan.astype(bool)), - norm=norm, cmap=cmap, - transform=ccrs.PlateCarree()) - extent = min(45e5, - (abs(proj.transform_point(noon, lowlat, - ccrs.PlateCarree()) - [1]))) - ax.set_extent(extents=(-extent, extent, -extent, extent), - crs=proj) - #ax.set_extent([-180, 90, 0, 0], crs=ccrs.PlateCarree()) - # plots radar position - if radar_location: - cls.plot_radar_position(stid, date, line_color, coords = coords, **kwargs) - # plots radar label position - if radar_label: - cls.plot_radar_label(stid, date, line_color, coords = coords, **kwargs) - + # Begin plotting by iterating over ranges and beams + thetas = thetas[ranges[0]:ranges[1]] + rs = rs[ranges[0]:ranges[1]] + scan = scan[ranges[0]:ranges[1]-1] + ax.pcolormesh(thetas, rs, + np.ma.masked_array(scan, ~scan.astype(bool)), + norm=norm, cmap=cmap) + + # plot the groundscatter as grey fill + if groundscatter: + grndsct = grndsct[ranges[0]:ranges[1]-1] + ax.pcolormesh(thetas, rs, + np.ma.masked_array(grndsct, + ~grndsct.astype(bool)), + norm=norm, cmap='Greys') + + azm = np.linspace(0, 2 * np.pi, 100) + r, th = np.meshgrid(rs, azm) + plt.plot(azm, r, color='k', ls='none') + plt.grid() + # Create color bar if True if colorbar is True: mappable = cm.ScalarMappable(norm=norm, cmap=cmap) @@ -459,20 +254,19 @@ def plot_fan(cls, dmap_data: List[dict], ax=None, if title: start_time = time2datetime(dmap_data[plot_beams[0][0]]) end_time = time2datetime(dmap_data[plot_beams[-1][-1]]) - title = cls.__add_title__(start_time, end_time, coords=coords) + title = cls.__add_title__(start_time, end_time) plt.title(title) citing_warning() return beam_corners_aacgm_lats, beam_corners_aacgm_lons, scan, grndsct @classmethod - def plot_fov(cls, stid: str, date: dt.datetime, rsep: int = 45, - coords: object = Coords.AACGM, frang: int = 180, - ax=None, ranges: tuple = None, - boundary: bool = True, fov_color: str = None, - alpha: int = 0.5, fov_files: bool = False, - radar_location: bool = False, radar_label: bool = False, - max_beams: int = None, line_color: str = 'black', **kwargs): + def plot_fov(cls, stid: str, date: dt.datetime, + ax=None, ranges: List = [], boundary: bool = True, + fov_color: str = None, alpha: int = 0.5, + radar_location: bool = True, radar_label: bool = False, + line_color: str = 'black', + fov_files: bool = False, **kwargs): """ plots only the field of view (FOV) for a given radar station ID (stid) @@ -480,15 +274,6 @@ def plot_fov(cls, stid: str, date: dt.datetime, rsep: int = 45, ----------- stid: int Radar station ID - rsep: int - gate seperation [km], set by the radar control program. - default: 45 common mode - coords: Coords - set the y-axis to a desired coordinate system - Default: Coords.AACGM - frang: int - distance from the radar site to the edge of the range gate [km] - default: 180 km ax: matplotlib.pyplot axis Pre-defined axis object to pass in, must currently be polar projection @@ -548,11 +333,10 @@ def plot_fov(cls, stid: str, date: dt.datetime, rsep: int = 45, fan_shape = beam_corners_aacgm_lons.shape if ranges == []: ranges = [0, fan_shape[0]] - # Work out shift due in MLT beam_corners_mlts = np.zeros((fan_shape[0], fan_shape[1])) mltshift = beam_corners_aacgm_lons[0, 0] - \ - (aacgmv2.convert_mlt(beam_corners_aacgm_lons[0, 0], date) * 15) + (aacgmv2.convert_mlt(beam_corners_aacgm_lons[0, 0], date) * 15) beam_corners_mlts = beam_corners_aacgm_lons - mltshift # Hold the beam positions @@ -608,7 +392,7 @@ def plot_fov(cls, stid: str, date: dt.datetime, rsep: int = 45, @classmethod def plot_radar_position(cls, stid: int, date: dt.datetime, - line_color: str = 'black', coords: object = Coords.AACGM, **kwargs): + line_color: str = 'black', **kwargs): """ plots only a dot at the position of a given radar station ID (stid) @@ -622,63 +406,28 @@ def plot_radar_position(cls, stid: int, date: dt.datetime, line_color: str color of the dot default: black - coords: Coords - set the y-axis to a desired coordinate system - Default: Coords.AACGM + Returns ------- No variables returned """ - if coords == Coords.AACGM: - # Get location of radar - lat = SuperDARNRadars.radars[stid].hardware_info.geographic.lat - lon = SuperDARNRadars.radars[stid].hardware_info.geographic.lon - # Convert to geomag coords - geomag_radar = aacgmv2.get_aacgm_coord(lat, lon, 250, date) - mltshift = geomag_radar[1] - (aacgmv2.convert_mlt(geomag_radar[1], + # Get location of radar + lat = SuperDARNRadars.radars[stid].hardware_info.geographic.lat + lon = SuperDARNRadars.radars[stid].hardware_info.geographic.lon + # Convert to geomag coords + geomag_radar = aacgmv2.get_aacgm_coord(lat, lon, 250, date) + mltshift = geomag_radar[1] - (aacgmv2.convert_mlt(geomag_radar[1], date) * 15) - # Convert to MLT then radians for theta - theta_lon = np.radians(geomag_radar[1] - mltshift) - r_lat = geomag_radar[0] - # Plot a dot at the radar site - plt.scatter(theta_lon, r_lat, c=line_color, linewidths=5, s=5) - - if coords == Coords.SLANT_RANGE or coords == Coords.GROUND_SCATTER_MAPPED_RANGE: - # Get location of radar - radar_position_lat = np.array(SuperDARNRadars.radars[stid].hardware_info.geographic.lat) - radar_position_lon = np.array(SuperDARNRadars.radars[stid].hardware_info.geographic.lon) - - # Where in the world are we - if np.all(radar_position_lat > 0): - northern_hemisphere = True - else: - northern_hemisphere = False - pole_lat = 90 if northern_hemisphere else -90 - - # no need to shift any coords, let cartopy do that - # however, we do need to figure out - # how much to rotate the projection - deg_from_midnight = (date.hour + date.minute / 60) / 24 * 360 - if northern_hemisphere: - noon = -deg_from_midnight - else: - noon = 360 - deg_from_midnight - - # projection for radar postion coordinate transformation - proj = ccrs.Orthographic(noon, pole_lat) - - # radar position coordinate transformation to geo coordinates - geo = ccrs.Geodetic() - position=proj.transform_points(geo,radar_position_lon, radar_position_lat) - # plot radar position - plt.scatter(position[:,0], position[:,1], c=line_color, linewidths=5, s=5) - - + # Convert to MLT then radians for theta + theta_lon = np.radians(geomag_radar[1] - mltshift) + r_lat = geomag_radar[0] + # Plot a dot at the radar site + plt.scatter(theta_lon, r_lat, c=line_color, s=5) return @classmethod def plot_radar_label(cls, stid: int, date: dt.datetime, - line_color: str = 'black', coords: object = Coords.AACGM, **kwargs): + line_color: str = 'black', **kwargs): """ plots only string at the position of a given radar station ID (stid) @@ -692,95 +441,40 @@ def plot_radar_label(cls, stid: int, date: dt.datetime, line_color: str color of the text default: black - coords: Coords - set the y-axis to a desired coordinate system - Default: Coords.AACGM Returns ------- No variables returned """ - if coords == Coords.AACGM: - # Label text - label_str = ' ' + SuperDARNRadars.radars[stid]\ - .hardware_info.abbrev.upper() - # Get location of radar - lat = SuperDARNRadars.radars[stid].hardware_info.geographic.lat - lon = SuperDARNRadars.radars[stid].hardware_info.geographic.lon - - # Convert to geomag coords - geomag_radar = aacgmv2.get_aacgm_coord(lat, lon, 250, date) - mltshift = geomag_radar[1] - \ - (aacgmv2.convert_mlt(geomag_radar[1], date) * 15) - # Convert to MLT then radians for theta - theta_lon = np.radians(geomag_radar[1] - mltshift) - r_lat = geomag_radar[0] - - theta_text = theta_lon - # Shift in latitude (dependent on hemisphere) - if SuperDARNRadars.radars[stid].hemisphere == Hemisphere.North: - r_text = r_lat - 7 - else: - r_text = r_lat + 5 - plt.text(theta_text, r_text, label_str, ha='center', c=line_color) - - if coords == Coords.SLANT_RANGE or coords == Coords.GROUND_SCATTER_MAPPED_RANGE: - # Get location of radar - radar_position_lat = np.array(SuperDARNRadars.radars[stid].hardware_info.geographic.lat) - radar_position_lon = np.array(SuperDARNRadars.radars[stid].hardware_info.geographic.lon) - - # Where in the world are we - if np.all(radar_position_lat > 0): - northern_hemisphere = True - else: - northern_hemisphere = False - pole_lat = 90 if northern_hemisphere else -90 - - # no need to shift any coords, let cartopy do that - # however, we do need to figure out - # how much to rotate the projection - deg_from_midnight = (date.hour + date.minute / 60) / 24 * 360 - if northern_hemisphere: - noon = -deg_from_midnight - else: - noon = 360 - deg_from_midnight - - # projection for radar postion coordinate transformation - proj = ccrs.Orthographic(noon, pole_lat) - - # radar position coordinate transformation to geo coordinates - geo = ccrs.Geodetic() - position=proj.transform_points(geo,radar_position_lon, radar_position_lat) - - # Label text - label_str = '' - label_str = ' ' + SuperDARNRadars.radars[stid]\ - .hardware_info.abbrev.upper() - theta_text=position[:,0] - # Shift in latitude (dependent on hemisphere) - if SuperDARNRadars.radars[stid].hemisphere == Hemisphere.North: - r_text = position[:,1] - 7 - else: - r_text = position[:,1] + 5 - - plt.text(theta_text, r_text, label_str, ha='center', c=line_color) - + # Label text + label_str = ' ' + SuperDARNRadars.radars[stid]\ + .hardware_info.abbrev.upper() + # Get location of radar + lat = SuperDARNRadars.radars[stid].hardware_info.geographic.lat + lon = SuperDARNRadars.radars[stid].hardware_info.geographic.lon + # Convert to geomag coords + geomag_radar = aacgmv2.get_aacgm_coord(lat, lon, 250, date) + mltshift = geomag_radar[1] - \ + (aacgmv2.convert_mlt(geomag_radar[1], date) * 15) + # Convert to MLT then radians for theta + theta_lon = np.radians(geomag_radar[1] - mltshift) + r_lat = geomag_radar[0] + + theta_text = theta_lon + # Shift in latitude (dependent on hemisphere) + if SuperDARNRadars.radars[stid].hemisphere == Hemisphere.North: + r_text = r_lat - 5 + else: + r_text = r_lat + 5 + plt.text(theta_text, r_text, label_str, ha='center', c=line_color) return @classmethod def __add_title__(cls, first_timestamp: dt.datetime, - end_timestamp: dt.datetime, coords: object = Coords.AACGM): - """ - coords: Coords - set the y-axis to a desired coordinate system - Default: Coords.AACGM - Returns - ------- - title - """ - title = "{coords}\n{year}-{month}-{day} {start_hour}:{start_minute}:{second} -"\ + end_timestamp: dt.datetime): + title = "{year}-{month}-{day} {start_hour}:{start_minute}:{second} -"\ " {end_hour}:{end_minute}:{end_second}"\ - "".format(coords=str(coords)[7:], year=first_timestamp.year, + "".format(year=first_timestamp.year, month=str(first_timestamp.month).zfill(2), day=str(first_timestamp.day).zfill(2), start_hour=str(first_timestamp.hour).zfill(2), diff --git a/pydarn/plotting/rtp.py b/pydarn/plotting/rtp.py index 7f6cb7327..69d89beca 100644 --- a/pydarn/plotting/rtp.py +++ b/pydarn/plotting/rtp.py @@ -360,11 +360,13 @@ def plot_range_time(cls, dmap_data: List[dict], parameter: str = 'v', rxrise = SuperDARNRadars.radars[cls.dmap_data[0]['stid']]\ .hardware_info.rx_rise_time y = gate2slant(cls.dmap_data[0]['frang'], cls.dmap_data[0]['rsep'], cls.dmap_data['rxrise'], y_max) - elif coords is Coords.GROUND_SCATTER_MAPPED_RANGE: + elif coord is Coords.GROUND_SCATTER_MAPPED_RANGE: rxrise = SuperDARNRadars.radars[cls.dmap_data[0]['stid']]\ .hardware_info.rx_rise_time + y = gate2slant(cls.dmap_data[0]['frang'], cls.dmap_data[0]['rsep'], rxrise, y_max) y = gate2GroundScatter(y, **kwargs) + y0inx = np.min(np.where(np.isfinite(y))[0]) y = y[y0inx:] z = z[:, y0inx:] diff --git a/pydarn/utils/radar_pos.py b/pydarn/utils/radar_pos.py index 05c87d686..e4c1163b9 100644 --- a/pydarn/utils/radar_pos.py +++ b/pydarn/utils/radar_pos.py @@ -39,20 +39,17 @@ import datetime as dt import numpy as np import os -import aacgmv2 -from pydarn.utils.virtual_heights_types import VH_types -from pydarn.utils.virtual_heights import standard_virtual_height, chisham +import aacgmv2 -from pydarn import SuperDARNRadars, gate2slant, gate2GroundScatter, Coords +from pydarn import SuperDARNRadars, gate2slant, Coords from pydarn.utils.constants import EARTH_EQUATORIAL_RADIUS, Re, C def radar_fov(stid: int, rsep: int = 45, frang: int = 180, ranges: tuple = None, fov_files: bool = False, coords: object = Coords.AACGM, max_beams: int = None, - reflection_height: float = 250, date: dt.datetime = None, **kwargs): - + date: dt.datetime = None, **kwargs): """ Returning beam/gate coordinates of a specified radar's field-of-view @@ -64,9 +61,6 @@ def radar_fov(stid: int, rsep: int = 45, frang: int = 180, coords: Coords object Type of coordinates returned Default: Coords.AACGM - reflection_height: float - reflection height - default: 250 date: datetime datetime object date to be used for AACGMv2 conversion Default: Current day @@ -80,7 +74,6 @@ def radar_fov(stid: int, rsep: int = 45, frang: int = 180, n_beams x n_gates array of geographic or AACGMv2 longitudes for range gate corners """ - # Locate base PyDARN directory if fov_files: my_path = os.path.abspath(os.path.dirname(__file__)) @@ -126,14 +119,13 @@ def radar_fov(stid: int, rsep: int = 45, frang: int = 180, # Plus 1 is due to the fact fov files index at 1 so in the plotting # of the boundary there is a subtraction of 1 to offset this as python # converts to index of 0 which my code already accounts for - - beam_corners_lats = np.zeros((ranges[1]+1, max_beams+1)) - beam_corners_lons = np.zeros((ranges[1]+1, max_beams+1)) + beam_corners_lats = np.zeros((ranges[1], max_beams+1)) + beam_corners_lons = np.zeros((ranges[1], max_beams+1)) - for beam in range(max_beams+1): - for gate in range(ranges[1]+1): + for beam in range(0, max_beams+1): + for gate in range(ranges[0], ranges[1]): lat, lon = geographic_cell_positions(stid, beam, gate, rsep, - frang, coords = coords, reflection_height=reflection_height, height=300) + frang, height=300) if coords == Coords.AACGM: if date is None: @@ -154,9 +146,7 @@ def radar_fov(stid: int, rsep: int = 45, frang: int = 180, def geographic_cell_positions(stid: int, beam: int, range_gate: int, rsep: int = 45, frang: int = 180, height: float = None, elv_angle: float = 0.0, - reflection_height: float = 250, - coords: object = Coords.SLANT_RANGE, - center: bool = True, virtual_height_type: object = VH_types.STANDARD_VIRTUAL_HEIGHT): + center: bool = True, chisham: bool = False): """ determines the geographic cell position for a given range gate and beam @@ -183,12 +173,6 @@ def geographic_cell_positions(stid: int, beam: int, range_gate: int, elv_angle: float elevation angle in [deg] default: 0 - reflection_height: float - reflection height - default: 250 - coords: Coords - set the y-axis to a desired coordinate system - Default: Coords.SLANT_RANGE center: bool obtain geographic location of the centre of the range gates False obtains the front edge of the range gates. @@ -230,38 +214,17 @@ def geographic_cell_positions(stid: int, beam: int, range_gate: int, # psi [rad] in the angle from the boresight psi = beam_sep * (beam - offset) + beam_edge - - # Initialize lon and lat to allow use outside of if statement - lon = np.empty((2,2)) - lat = np.empty((2,2)) - - #calculates lon and lat for slant range - if coords == Coords.SLANT_RANGE: - # Calculate the slant range [km] - slant_range = gate2slant(frang, rsep, rxrise, gate=range_gate) - # If no height is specified then use elevation angle (default 0) - # to calculate the transmutation height - if height is None: - height = -Re + np.sqrt(Re**2 + 2 * slant_range * Re * - np.sin(np.radians(elv_angle)) + slant_range**2) - - lat, lon = geocentric_coordinates(radar_lat, radar_lon, slant_range, - height, psi, boresight, virtual_height_type = virtual_height_type) - - #calculates lon and lat for ground scatter mapped range - if coords == Coords.GROUND_SCATTER_MAPPED_RANGE: - # Calculate the ground scatter mapped range - slant_range = gate2slant(frang, rsep, rxrise, gate=range_gate) - - ground_scatter_mapped_range = gate2GroundScatter(slant_range, reflection_height) - # If no height is specified then use elevation angle (default 0) - # to calculate the transmutation height - if height is None: - height = -Re + np.sqrt(Re**2 + 2 * ground_scatter_mapped_range * Re * - np.sin(np.radians(elv_angle)) + ground_scatter_mapped_range**2) - - lat, lon = geocentric_coordinates(radar_lat, radar_lon, ground_scatter_mapped_range, - height, psi, boresight, virtual_height_type = virtual_height_type) + # Calculate the slant range [km] + slant_range = gate2slant(frang, rsep, rxrise, gate=range_gate) + + # If no height is specified then use elevation angle (default 0) + # to calculate the transmutation height + if height is None: + height = -Re + np.sqrt(Re**2 + 2 * slant_range * Re * + np.sin(np.radians(elv_angle)) + slant_range**2) + + lat, lon = geocentric_coordinates(radar_lat, radar_lon, slant_range, + height, psi, boresight, chisham) # convert back degrees as preferred units to use? return np.degrees(lat), np.degrees(lon) @@ -271,7 +234,7 @@ def geographic_cell_positions(stid: int, beam: int, range_gate: int, def geocentric_coordinates(radar_lat: float, radar_lon: float, slant_range: float, cell_height: float, psi: float, boresight: float, - virtual_height_type: object = VH_types.STANDARD_VIRTUAL_HEIGHT ): + chisham: bool = False): """ Calculates the geocentric coordinates of gate cell point, using either the standard or Chisham virtual height model. @@ -308,12 +271,51 @@ def geocentric_coordinates(radar_lat: float, radar_lon: float, radars – Part 1: A new empirical virtual height model by G. Chisham 2008 (https://doi.org/10.5194/angeo-26-823-2008) """ - if virtual_height_type == VH_types.CHISHAM: - x_height = chisham(slant_range) - - if virtual_height_type == VH_types.STANDARD_VIRTUAL_HEIGHT: - x_height = standard_virtual_height(slant_range, cell_height) - + if chisham: + # Model constants + A_const = (108.974, 384.416, 1098.28) + B_const = (0.0191271, -0.178640, -0.354557) + C_const = (6.68283e-5, 1.81405e-4, 9.39961e-5) + + # determine which region of ionosphere the gate + if slant_range < 115: + x_height = (slant_range / 115.0) * 112.0 + elif slant_range < 787.5: + x_height = A_const[0] + B_const[0] * slant_range + C_const[0] *\ + slant_range**2 + elif slant_range <= 2137.5: + x_height = A_const[1] + B_const[1] * slant_range + C_const[1] *\ + slant_range**2 + else: + x_height = A_const[2] + B_const[2] * slant_range + C_const[2] *\ + slant_range**2 + else: + """ + cell_height, slant_range and x_height are in km + Default values set in virtual height model described + Mapping ionospheric backscatter measured by the SuperDARN HF + radars – Part 1: A new empirical virtual height model by + G. Chisham 2008 + Equation (1) in the paper + < 150 km climbing into the E region + 150 - 600 km E region scatter + (Note in the paper 400 km is the edge of the E region) + 600 - 800 km is F region + """ + # TODO: why 115? + # map everything into the E region + if cell_height <= 150 and slant_range > 150: + x_height = cell_height + # virtual height equation (1) from the above paper + elif slant_range < 150: + x_height = (slant_range / 150.0) * 115 + elif slant_range >= 150 and slant_range <= 600: + x_height = 115 + elif slant_range > 600 and slant_range < 800: + x_height = (slant_range - 600) / 200 * (cell_height - 115) + 115 + # higher than 800 km + else: + x_height = cell_height # calculate the radius over the earth underneath # the radar and range gate cell rlat, rlon, r_radar, delta = geodetic2geocentric(radar_lat, radar_lon) diff --git a/pydarn/utils/virtual_heights.py b/pydarn/utils/virtual_heights.py deleted file mode 100644 index bea6919b2..000000000 --- a/pydarn/utils/virtual_heights.py +++ /dev/null @@ -1,56 +0,0 @@ -""" virtual_heights.py comprises of different types of virtual heights""" - -def chisham(slant_range: float): - # Gareth Chisham Virtual height model: - """ - Mapping ionospheric backscatter measured by the SuperDARN HF - radars – Part 1: A new empirical virtual height model by - G. Chisham 2008 (https://doi.org/10.5194/angeo-26-823-2008) - """ - # Model constants - A_const = (108.974, 384.416, 1098.28) - B_const = (0.0191271, -0.178640, -0.354557) - C_const = (6.68283e-5, 1.81405e-4, 9.39961e-5) - - # determine which region of ionosphere the gate - if slant_range < 115: - return (slant_range / 115.0) * 112.0 - elif slant_range < 787.5: - return A_const[0] + B_const[0] * slant_range + C_const[0] *\ - slant_range**2 - elif slant_range <= 2137.5: - return A_const[1] + B_const[1] * slant_range + C_const[1] *\ - slant_range**2 - else: - return A_const[2] + B_const[2] * slant_range + C_const[2] *\ - slant_range**2 - - -def standard_virtual_height(slant_range: float, cell_height: float): - """ - cell_height, slant_range and x_height are in km - Default values set in virtual height model described - Mapping ionospheric backscatter measured by the SuperDARN HF - radars – Part 1: A new empirical virtual height model by - G. Chisham 2008 - Equation (1) in the paper - < 150 km climbing into the E region - 150 - 600 km E region scatter - (Note in the paper 400 km is the edge of the E region) - 600 - 800 km is F region - """ - # TODO: why 115? - # map everything into the E region - if cell_height <= 150 and slant_range > 150: - return cell_height - # virtual height equation (1) from the above paper - elif slant_range < 150: - return (slant_range / 150.0) * 115 - elif slant_range >= 150 and slant_range <= 600: - return 115 - elif slant_range > 600 and slant_range < 800: - return (slant_range - 600) / 200 * (cell_height - 115) + 115 - # higher than 800 km - else: - return cell_height - diff --git a/pydarn/utils/virtual_heights_types.py b/pydarn/utils/virtual_heights_types.py deleted file mode 100644 index c20215e51..000000000 --- a/pydarn/utils/virtual_heights_types.py +++ /dev/null @@ -1,34 +0,0 @@ -# (C) Copyright 2021 SuperDARN Canada, University of Saskatchewan -# Author(s): Marina Schmidt -# -# This file is part of the pyDARN Library. -# -# pyDARN is under the LGPL v3 license found in the root directory LICENSE.md -# Everyone is permitted to copy and distribute verbatim copies of this license -# document, but changing it is not allowed. -# -# This version of the GNU Lesser General Public License incorporates the terms -# and conditions of version 3 of the GNU Lesser General Public License, -# supplemented by the additional permissions listed below. -# -# Modifications: -# - -""" -virtual_heights_types.py is a group of methods that focus on the type of virtual heights -""" -import enum - -class VH_types(enum.Enum): - """ - This virtual height types class is to list the current virtual height systems - a user can pick from - - enumerators: - STANDARD_VIRTUAL_HEIGHT: Standard_Virtual_height (km) - CHISHAM: chisham (km) - """ - - STANDARD_VIRTUAL_HEIGHT = enum.auto() - CHISHAM = enum.auto() - From bb57fe7057303fff57a6393f40141d3dc4d506af Mon Sep 17 00:00:00 2001 From: mts299 Date: Wed, 8 Sep 2021 10:23:52 -0600 Subject: [PATCH 075/109] fixed the errors from pytest in develop --- pydarn/plotting/rtp.py | 35 ++++++++++++++++------------------- 1 file changed, 16 insertions(+), 19 deletions(-) diff --git a/pydarn/plotting/rtp.py b/pydarn/plotting/rtp.py index 69d89beca..be8f331f6 100644 --- a/pydarn/plotting/rtp.py +++ b/pydarn/plotting/rtp.py @@ -355,21 +355,19 @@ def plot_range_time(cls, dmap_data: List[dict], parameter: str = 'v', start_time=start_time, end_time=end_time, opt_beam_num=cls.dmap_data[0]['bmnum']) - if coords is Coords.SLANT_RANGE: + if coords is Coords.SLANT_RANGE or\ + coords is Coords.GROUND_SCATTER_MAPPED_RANGE: # Get rxrise from hardware files (consistent with RST) rxrise = SuperDARNRadars.radars[cls.dmap_data[0]['stid']]\ .hardware_info.rx_rise_time - y = gate2slant(cls.dmap_data[0]['frang'], cls.dmap_data[0]['rsep'], cls.dmap_data['rxrise'], y_max) - elif coord is Coords.GROUND_SCATTER_MAPPED_RANGE: - rxrise = SuperDARNRadars.radars[cls.dmap_data[0]['stid']]\ - .hardware_info.rx_rise_time + y = gate2slant(cls.dmap_data[0]['frang'], cls.dmap_data[0]['rsep'], + rxrise, nrang=y_max) + if coords is Coords.GROUND_SCATTER_MAPPED_RANGE: + y = gate2GroundScatter(y, **kwargs) + y0inx = np.min(np.where(np.isfinite(y))[0]) + y = y[y0inx:] + z = z[:, y0inx:] - y = gate2slant(cls.dmap_data[0]['frang'], cls.dmap_data[0]['rsep'], rxrise, y_max) - y = gate2GroundScatter(y, **kwargs) - - y0inx = np.min(np.where(np.isfinite(y))[0]) - y = y[y0inx:] - z = z[:, y0inx:] time_axis, y_axis = np.meshgrid(x, y) z_data = np.ma.masked_where(np.isnan(z.T), z.T) Default = {'noise.sky': (1e0, 1e5), @@ -445,7 +443,7 @@ def plot_range_time(cls, dmap_data: List[dict], parameter: str = 'v', tick_interval = 30 else: tick_interval = 1 - # byminute keyword makes sure that the ticks are situated at + # byminute keyword makes sure that the ticks are situated at # the minute or half hour marks, rather than at a set interval ax.xaxis.set_minor_locator( dates.MinuteLocator(byminute=range(0,60,tick_interval))) @@ -453,7 +451,7 @@ def plot_range_time(cls, dmap_data: List[dict], parameter: str = 'v', # Upon request of Daniel Billet and others, I am rounding # the time down so the plotting x-axis will show the origin # time label - # Updated to give option to round down and make sure + # Updated to give option to round down and make sure # rounding to same frequency as plot axis ticks if less than 1 hour if round_start: major_locator, _ = plt.xticks() @@ -472,7 +470,7 @@ def plot_range_time(cls, dmap_data: List[dict], parameter: str = 'v', microseconds=x[0].microsecond) else: rounded_down_start_time = x[0] - + ax.set_xlim([rounded_down_start_time, x[-1]]) ax.xaxis.set_major_formatter(dates.DateFormatter(date_fmt)) @@ -772,8 +770,8 @@ def plot_time_series(cls, dmap_data: List[dict], seconds=x[0].second, microseconds=x[0].microsecond) else: - rounded_down_start_time = x[0] - + rounded_down_start_time = x[0] + ax.set_xlim([rounded_down_start_time, x[-1]]) ax.xaxis.set_major_formatter(dates.DateFormatter(date_fmt)) @@ -788,7 +786,7 @@ def plot_time_series(cls, dmap_data: List[dict], tick_interval = 30 else: tick_interval = 1 - # byminute keyword makes sure that the ticks are situated at + # byminute keyword makes sure that the ticks are situated at # the minute or half hour marks, rather than at a set interval ax.xaxis.set_minor_locator( dates.MinuteLocator(byminute=range(0,60,tick_interval))) @@ -1131,8 +1129,7 @@ def plot_summary(cls, dmap_data: List[dict], zmax=boundary_ranges[axes_parameters[i]][1], ymax=ymax, yspacing=500, background=background, - coords=coords, - **kwargs) + coords=coords, **kwargs) # Overwriting velocity ticks to get a better pleasing # look on the colorbar # Preference by Marina Schmidt From e44b2e5fa3c5c5d1692a9724ff259b2f0f19744e Mon Sep 17 00:00:00 2001 From: carleyjmartin Date: Wed, 8 Sep 2021 13:37:47 -0600 Subject: [PATCH 076/109] adding key word grid to allow plotting of the grid of gate/beam in fov --- pydarn/plotting/fan.py | 21 ++++++++++++++++++--- 1 file changed, 18 insertions(+), 3 deletions(-) diff --git a/pydarn/plotting/fan.py b/pydarn/plotting/fan.py index c325b8a2d..4a34b0eb0 100644 --- a/pydarn/plotting/fan.py +++ b/pydarn/plotting/fan.py @@ -266,7 +266,8 @@ def plot_fov(cls, stid: str, date: dt.datetime, fov_color: str = None, alpha: int = 0.5, radar_location: bool = True, radar_label: bool = False, line_color: str = 'black', - fov_files: bool = False, **kwargs): + fov_files: bool = False, + grid: bool = False, **kwargs): """ plots only the field of view (FOV) for a given radar station ID (stid) @@ -289,6 +290,9 @@ def plot_fov(cls, stid: str, date: dt.datetime, boundary: bool Set to false to not plot the outline of the FOV Default: True + grid: bool + Set to false to not plot the grid of gates in the FOV + Default: False fov_color: str fov color to fill in the boundary default: None @@ -309,7 +313,7 @@ def plot_fov(cls, stid: str, date: dt.datetime, radar_label: bool Add a label with the radar abbreviation if True Default: False - kawrgs: key = value + kwargs: key = value Additional keyword arguments to be used in projection plotting For possible keywords, see: projections.axis_polar @@ -353,7 +357,6 @@ def plot_fov(cls, stid: str, date: dt.datetime, if boundary: # left boundary line - plt.plot(thetas[0:ranges[1], 0], rs[0:ranges[1], 0], color=line_color, linewidth=0.5) # top radar arc @@ -369,6 +372,18 @@ def plot_fov(cls, stid: str, date: dt.datetime, rs[0, 0:thetas.shape[1] - 1], color=line_color, linewidth=0.5) + if grid: + # This plots lines along the beams + for bm in range(fan_shape[1]): + plt.plot(thetas[0:ranges[1], bm - 1], + rs[0:ranges[1], bm - 1], + color=line_color, linewidth=0.2) + # This plots arcs along the gates + for g in range(ranges[1]): + plt.plot(thetas[g-1, 0:thetas.shape[1]], + rs[g - 1, 0:thetas.shape[1]], + color=line_color, linewidth=0.2) + if radar_location: cls.plot_radar_position(stid, date, line_color, **kwargs) if radar_label: From b297f2eda10a38ae859d84bcf97f47909fd0f665 Mon Sep 17 00:00:00 2001 From: carleyjmartin Date: Wed, 8 Sep 2021 14:13:02 -0600 Subject: [PATCH 077/109] add modification line --- pydarn/plotting/fan.py | 1 + 1 file changed, 1 insertion(+) diff --git a/pydarn/plotting/fan.py b/pydarn/plotting/fan.py index 4a34b0eb0..4a2d99a31 100644 --- a/pydarn/plotting/fan.py +++ b/pydarn/plotting/fan.py @@ -5,6 +5,7 @@ # 2021-05-07: CJM - Included radar position and labels in plotting # 2021-04-01 Shane Coyle added pcolormesh to the code # 2021-05-19 Marina Schmidt - Added scan index with datetimes +# 2021-09-08: CJM - Included individual gate and beam boundary plotting for FOV # # Disclaimer: # pyDARN is under the LGPL v3 license found in the root directory LICENSE.md From 5a6d1c3b2c04082a1e8e691508ca8a4ee55b0a75 Mon Sep 17 00:00:00 2001 From: carleyjmartin Date: Thu, 9 Sep 2021 15:25:24 -0600 Subject: [PATCH 078/109] channel keyword, grabs data only from chosen channel to find scan_index/scan_time, included exception for no channel existing and warning when partial record exists (mainly for the HAN data issues) --- pydarn/__init__.py | 1 + pydarn/exceptions/plot_exceptions.py | 17 +++++++++++++++++ pydarn/exceptions/warning_formatting.py | 9 +++++++++ pydarn/plotting/fan.py | 20 +++++++++++++++++--- 4 files changed, 44 insertions(+), 3 deletions(-) diff --git a/pydarn/__init__.py b/pydarn/__init__.py index 7e19255cf..07d625e7a 100644 --- a/pydarn/__init__.py +++ b/pydarn/__init__.py @@ -23,6 +23,7 @@ from .exceptions.warning_formatting import standard_warning_format from .exceptions.warning_formatting import only_message_warning_format from .exceptions.warning_formatting import citing_warning +from .exceptions.warning_formatting import partial_record_warning # importing utils from .utils.coordinates import Coords diff --git a/pydarn/exceptions/plot_exceptions.py b/pydarn/exceptions/plot_exceptions.py index 0a72f2309..6111ecf4e 100644 --- a/pydarn/exceptions/plot_exceptions.py +++ b/pydarn/exceptions/plot_exceptions.py @@ -1,5 +1,9 @@ # Copyright (C) SuperDARN Canada, University of Saskatchewan # Authors: Marina Schmidt +# +# Modifications: +# 20210909: CJM - Added NoChannelError +# # Disclaimer: # pyDARN is under the LGPL v3 license found in the root directory LICENSE.md # Everyone is permitted to copy and distribute verbatim copies of this license @@ -175,3 +179,16 @@ def __init__(self, parameter: str, gate_num: int, max_range_gate: int): max_gate=self.max_range_gate-1) super().__init__(self.message) pydarn_log.error(self.message) + + +class NoChannelError(Exception): + """ + This error is raised when the channel specified by user + does not exist + """ + def __init__(self, channel: int): + self.channel = channel + self.message = "There is no data for channel {channel}"\ + .format(channel=self.channel) + super().__init__(self.message) + pydarn_log.error(self.message) \ No newline at end of file diff --git a/pydarn/exceptions/warning_formatting.py b/pydarn/exceptions/warning_formatting.py index 3295a97df..954e6f19a 100644 --- a/pydarn/exceptions/warning_formatting.py +++ b/pydarn/exceptions/warning_formatting.py @@ -19,6 +19,15 @@ def citing_warning(): " https://pydarn.readthedocs.io/en/master/user/citing/") +def partial_record_warning(): + """ + prints a warning that the data chosen to be plotted is missing some + keys that may produce a blank/half a plot + """ + warnings.warn("Please be aware that the data chosen to be plotted" + " contains a partial record. As such the plot may" + " be empty or only partially filled.") + def standard_warning_format(message: str, category: str, filename: str, lineno: int, file: str = None, line: int = None) -> str: diff --git a/pydarn/plotting/fan.py b/pydarn/plotting/fan.py index c325b8a2d..76aaedc78 100644 --- a/pydarn/plotting/fan.py +++ b/pydarn/plotting/fan.py @@ -5,6 +5,7 @@ # 2021-05-07: CJM - Included radar position and labels in plotting # 2021-04-01 Shane Coyle added pcolormesh to the code # 2021-05-19 Marina Schmidt - Added scan index with datetimes +# 2021-09-09: CJM - Included a channel option for plot_fan # # Disclaimer: # pyDARN is under the LGPL v3 license found in the root directory LICENSE.md @@ -32,7 +33,8 @@ from pydarn import (PyDARNColormaps, build_scan, radar_fov, citing_warning, time2datetime, plot_exceptions, Coords, - SuperDARNRadars, Hemisphere, Projections) + SuperDARNRadars, Hemisphere, Projections, + partial_record_warning) class Fan(): @@ -60,7 +62,7 @@ def plot_fan(cls, dmap_data: List[dict], ax=None, groundscatter: bool = False, zmin: int = None, zmax: int = None, colorbar: bool = True, colorbar_label: str = '', title: bool = True, - **kwargs): + channel = 'all', **kwargs): """ Plots a radar's Field Of View (FOV) fan plot for the given data and scan number @@ -110,6 +112,10 @@ def plot_fan(cls, dmap_data: List[dict], ax=None, if true then will create a title, else user can define it with plt.title default: true + channel : int or str + integer indicating which channel to plot or 'all' to + plot all channels + Default: 'all' kwargs: key = value Additional keyword arguments to be used in projection plotting and plot_fov for possible keywords, see: projections.axis_polar @@ -130,6 +136,13 @@ def plot_fan(cls, dmap_data: List[dict], ax=None, -------- plot_fov """ + # Remove all data from dmap_data that is not in chosen channel + if channel != 'all': + dmap_data = [rec for rec in dmap_data if rec['channel'] == channel] + # If no records exist, advise user that the channel is not used + if not dmap_data: + raise plot_exceptions.NoChannelError(channel) + try: ranges = kwargs['ranges'] except KeyError: @@ -158,7 +171,7 @@ def plot_fan(cls, dmap_data: List[dict], ax=None, scan_time) # Locate scan in loaded data plot_beams = np.where(beam_scan == scan_index) - + # Time for coordinate conversion if not scan_time: date = time2datetime(dmap_data[plot_beams[0][0]]) @@ -217,6 +230,7 @@ def plot_fan(cls, dmap_data: List[dict], ax=None, grndsct[slist, beam] = temp_ground # if there is no slist field this means partial record except KeyError: + partial_record_warning() continue # Begin plotting by iterating over ranges and beams thetas = thetas[ranges[0]:ranges[1]] From bcf35515165eb78bb9d8486300d96686c262b8e1 Mon Sep 17 00:00:00 2001 From: mts299 Date: Fri, 10 Sep 2021 09:02:20 -0600 Subject: [PATCH 079/109] initial start on pytest documentation --- docs/dev/PR.md | 2 ++ docs/dev/pytest.md | 18 ++++++++++++++++++ 2 files changed, 20 insertions(+) create mode 100644 docs/dev/pytest.md diff --git a/docs/dev/PR.md b/docs/dev/PR.md index c00f71986..4611e9d05 100644 --- a/docs/dev/PR.md +++ b/docs/dev/PR.md @@ -24,6 +24,8 @@ Before submitting a PR check the code check list first: - copyright and disclaimer, or modification line is added - the code installs with python 3.6 and higher +- the code doesn't fail on `pytest` test +- Any new features need to have tests for `pytest` to run on - documentation is updated or in another PR for users - Follows [PEP8](https://www.python.org/dev/peps/pep-0008/) code style and [pandas docstring](https://pandas.pydata.org/pandas-docs/stable/development/contributing_docstring.html) style - unit tests or various testing has been added/done diff --git a/docs/dev/pytest.md b/docs/dev/pytest.md new file mode 100644 index 000000000..67895de03 --- /dev/null +++ b/docs/dev/pytest.md @@ -0,0 +1,18 @@ + + +## Unit Testing + +Unit testing in pyDARN is a way to check that pydarn is running correctly with any new changes to the code. These tests are meant to be simple and short to only test parameter input and outputs. +Exceptions can also be tested to make sure it fails correctly. From 14c65168e6b7715f4a26db81300f0060c1084063 Mon Sep 17 00:00:00 2001 From: carleyjmartin Date: Fri, 10 Sep 2021 13:39:34 -0600 Subject: [PATCH 080/109] add line_alpha key work for boundary and grid alpha, default set to 0.5 --- pydarn/plotting/fan.py | 24 +++++++++++++++++------- 1 file changed, 17 insertions(+), 7 deletions(-) diff --git a/pydarn/plotting/fan.py b/pydarn/plotting/fan.py index 4a2d99a31..907658f73 100644 --- a/pydarn/plotting/fan.py +++ b/pydarn/plotting/fan.py @@ -268,7 +268,8 @@ def plot_fov(cls, stid: str, date: dt.datetime, radar_location: bool = True, radar_label: bool = False, line_color: str = 'black', fov_files: bool = False, - grid: bool = False, **kwargs): + grid: bool = False, + line_alpha: int = 0.5 , **kwargs): """ plots only the field of view (FOV) for a given radar station ID (stid) @@ -304,6 +305,10 @@ def plot_fov(cls, stid: str, date: dt.datetime, alpha controls the transparency of the fov color Default: 0.5 + line_alpha: int + line_alpha controls the transparency of + the boundary and grid lines of the fov + Default: 0.5 fov_files: bool boolean determine if the fov should be read by the files provided in pyDARN. Else it will use radar position code. @@ -359,31 +364,36 @@ def plot_fov(cls, stid: str, date: dt.datetime, if boundary: # left boundary line plt.plot(thetas[0:ranges[1], 0], rs[0:ranges[1], 0], - color=line_color, linewidth=0.5) + color=line_color, linewidth=0.5, + alpha=line_alpha) # top radar arc plt.plot(thetas[ranges[1] - 1, 0:thetas.shape[1]], rs[ranges[1] - 1, 0:thetas.shape[1]], - color=line_color, linewidth=0.5) + color=line_color, linewidth=0.5, + alpha=line_alpha) # right boundary line plt.plot(thetas[0:ranges[1], thetas.shape[1] - 1], rs[0:ranges[1], thetas.shape[1] - 1], - color=line_color, linewidth=0.5) + color=line_color, linewidth=0.5, + alpha=line_alpha) # bottom arc plt.plot(thetas[0, 0:thetas.shape[1] - 1], rs[0, 0:thetas.shape[1] - 1], color=line_color, - linewidth=0.5) + linewidth=0.5, alpha=line_alpha) if grid: # This plots lines along the beams for bm in range(fan_shape[1]): plt.plot(thetas[0:ranges[1], bm - 1], rs[0:ranges[1], bm - 1], - color=line_color, linewidth=0.2) + color=line_color, linewidth=0.2, + alpha=line_alpha) # This plots arcs along the gates for g in range(ranges[1]): plt.plot(thetas[g-1, 0:thetas.shape[1]], rs[g - 1, 0:thetas.shape[1]], - color=line_color, linewidth=0.2) + color=line_color, linewidth=0.2, + alpha=line_alpha) if radar_location: cls.plot_radar_position(stid, date, line_color, **kwargs) From 815de70db1380d9228ae5a1016b4de0eca7b3471 Mon Sep 17 00:00:00 2001 From: carleyjmartin Date: Fri, 10 Sep 2021 13:39:55 -0600 Subject: [PATCH 081/109] added pytest paramter for grid --- test/test_Fan.py | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/test/test_Fan.py b/test/test_Fan.py index 0b2dc4940..111593779 100644 --- a/test/test_Fan.py +++ b/test/test_Fan.py @@ -47,18 +47,19 @@ def test_fov_series(self): @pytest.mark.parametrize('radar_label', [True]) @pytest.mark.parametrize('line_color', ['red']) @pytest.mark.parametrize('date', [dt.datetime(2020, 4, 4, 6, 2)]) +@pytest.mark.parametrize('grid', [True, False]) class TestFov: - def test_parameters_range_time(self, stid, ranges, boundary, fov_color, + def test_fov_plot(self, stid, ranges, boundary, fov_color, alpha, radar_location, radar_label, - line_color, date): + line_color, date, grid): """ this test will give bare minimum input needed for """ with warnings.catch_warnings(record=True): pydarn.Fan.plot_fov(stid=stid, ranges=ranges, boundary=boundary, fov_color=fov_color, alpha=alpha, radar_location=radar_location, - radar_label=radar_label, + radar_label=radar_label, grid=grid, line_color=line_color, date=date) plt.close('all') From 943648660fe162a97c5224e658f940011130744a Mon Sep 17 00:00:00 2001 From: carleyjmartin Date: Fri, 10 Sep 2021 13:42:10 -0600 Subject: [PATCH 082/109] add parameter test for line_alpha --- test/test_Fan.py | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/test/test_Fan.py b/test/test_Fan.py index 111593779..33546349b 100644 --- a/test/test_Fan.py +++ b/test/test_Fan.py @@ -46,13 +46,14 @@ def test_fov_series(self): @pytest.mark.parametrize('radar_location', [False]) @pytest.mark.parametrize('radar_label', [True]) @pytest.mark.parametrize('line_color', ['red']) +@pytest.mark.parametrize('line_alpha', [0.8, 1]) @pytest.mark.parametrize('date', [dt.datetime(2020, 4, 4, 6, 2)]) @pytest.mark.parametrize('grid', [True, False]) class TestFov: def test_fov_plot(self, stid, ranges, boundary, fov_color, alpha, radar_location, radar_label, - line_color, date, grid): + line_color, date, grid, line_alpha): """ this test will give bare minimum input needed for """ with warnings.catch_warnings(record=True): pydarn.Fan.plot_fov(stid=stid, ranges=ranges, @@ -60,7 +61,8 @@ def test_fov_plot(self, stid, ranges, boundary, fov_color, alpha=alpha, radar_location=radar_location, radar_label=radar_label, grid=grid, - line_color=line_color, date=date) + line_color=line_color, date=date, + line_alpha=line_alpha) plt.close('all') From 7a7afa44a7a2cf408e4e9cb5c7bd42efad7fcdf4 Mon Sep 17 00:00:00 2001 From: carleyjmartin Date: Fri, 10 Sep 2021 14:09:31 -0600 Subject: [PATCH 083/109] give user the channel option with data if returns no data in exception --- pydarn/exceptions/plot_exceptions.py | 9 ++++++--- test/test_Fan.py | 5 +++-- 2 files changed, 9 insertions(+), 5 deletions(-) diff --git a/pydarn/exceptions/plot_exceptions.py b/pydarn/exceptions/plot_exceptions.py index 6111ecf4e..812fedff1 100644 --- a/pydarn/exceptions/plot_exceptions.py +++ b/pydarn/exceptions/plot_exceptions.py @@ -186,9 +186,12 @@ class NoChannelError(Exception): This error is raised when the channel specified by user does not exist """ - def __init__(self, channel: int): + def __init__(self, channel: int, opt_channel: int = None): self.channel = channel - self.message = "There is no data for channel {channel}"\ - .format(channel=self.channel) + self.opt_channel = opt_channel + self.message = "There is no data for channel {channel},"\ + " try channel {opt_channel}."\ + .format(channel=self.channel, + opt_channel=self.opt_channel) super().__init__(self.message) pydarn_log.error(self.message) \ No newline at end of file diff --git a/test/test_Fan.py b/test/test_Fan.py index 0b2dc4940..18cd86fe7 100644 --- a/test/test_Fan.py +++ b/test/test_Fan.py @@ -71,10 +71,11 @@ def test_parameters_range_time(self, stid, ranges, boundary, fov_color, @pytest.mark.parametrize('zmin', [0]) @pytest.mark.parametrize('zmax', [100]) @pytest.mark.parametrize('title', [False]) +@pytest.mark.parametrize('channel', [1,2]) class TestFan: def test_fan_plot(self, parameter, cmap, groundscatter, colorbar, - colorbar_label, zmin, zmax, title): + colorbar_label, zmin, zmax, title, channel): """ """ @@ -82,4 +83,4 @@ def test_fan_plot(self, parameter, cmap, groundscatter, colorbar, pydarn.Fan.plot_fan(data, parameter=parameter, cmap=cmap, groundscatter=groundscatter, colorbar=colorbar, colorbar_label=colorbar_label, zmin=zmin, zmax=zmax, - title=title) + title=title, channel=channel) From 9acf04f93210da9ca31e3dfd29698bc1ed808541 Mon Sep 17 00:00:00 2001 From: carleyjmartin Date: Fri, 10 Sep 2021 14:10:10 -0600 Subject: [PATCH 084/109] add channel parameter for pytest fan --- pydarn/plotting/fan.py | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/pydarn/plotting/fan.py b/pydarn/plotting/fan.py index 76aaedc78..b36a397fe 100644 --- a/pydarn/plotting/fan.py +++ b/pydarn/plotting/fan.py @@ -138,10 +138,12 @@ def plot_fan(cls, dmap_data: List[dict], ax=None, """ # Remove all data from dmap_data that is not in chosen channel if channel != 'all': + # Get the first channel used in case of no data in given channel + opt_channel = dmap_data[0]['channel'] dmap_data = [rec for rec in dmap_data if rec['channel'] == channel] # If no records exist, advise user that the channel is not used if not dmap_data: - raise plot_exceptions.NoChannelError(channel) + raise plot_exceptions.NoChannelError(channel,opt_channel) try: ranges = kwargs['ranges'] @@ -274,7 +276,6 @@ def plot_fan(cls, dmap_data: List[dict], ax=None, return beam_corners_aacgm_lats, beam_corners_aacgm_lons, scan, grndsct @classmethod - def plot_fov(cls, stid: str, date: dt.datetime, ax=None, ranges: List = [], boundary: bool = True, fov_color: str = None, alpha: int = 0.5, From 280a2a12147f52d7d4eac91dcd98e5cea980593d Mon Sep 17 00:00:00 2001 From: mts299 Date: Fri, 10 Sep 2021 15:46:32 -0600 Subject: [PATCH 085/109] added several sections on test just need to finish 1 section and add it to the index file --- docs/dev/pytest.md | 36 ++++++++++++++++++++++++++++++++++-- 1 file changed, 34 insertions(+), 2 deletions(-) diff --git a/docs/dev/pytest.md b/docs/dev/pytest.md index 67895de03..880279d01 100644 --- a/docs/dev/pytest.md +++ b/docs/dev/pytest.md @@ -14,5 +14,37 @@ the additional permissions listed below. ## Unit Testing -Unit testing in pyDARN is a way to check that pydarn is running correctly with any new changes to the code. These tests are meant to be simple and short to only test parameter input and outputs. -Exceptions can also be tested to make sure it fails correctly. +Unit testing in pyDARN is a way to check that pydarn is running correctly with any new changes to the code. These tests are meant to be simple and short to only test input (parameter) changes to ensure the code does not fail. +Exceptions can also be tested to make sure it fails correctly. Please note testing in pyDARN is for validity (code runs as it should) but not validation (outputting accurate plots). Validation testing is done by users who understanding the scientific accuracy the plots represent. + +pyDARN uses [`pytest`](https://docs.pytest.org/en/6.2.x/) for unit testing. + +## Using `pytest` + +Running `pytest` in pyDARN is for developers and testers that work with GitHub. To run `pytest` in pyDARN: + +!!! Warning + Make sure you install pytest in your virtual environment or on your computer + +1. [clone the pydarn repository](https://github.com/superdarn/pydarn) +2. change directory to pyDARN `cd pydarn` +3. install pydarn `pip install . --user` + - you can install a [virtual environment](../users/install.md) first to protect your current pyDARN install +4. now run pytest `pytest` it should report no fails +5. If it reports a fail please look into it if you are the developer of the change, or report it on the pull request if you are testing + +## Writing pytest tests + +### Adding to Pre-existing Tests + +Changing, Adding, Removing Parameters Testing + +### Adding a New Test Module + +If you are creating a new class or module (new python file) then you will need to add a new test module (file) to the `pydarn/test` directory. +Name the file test_.py such that `pytest` can find it and run it. + +You can use `test/test_rtp.py` as a template on how to write test code and read [`pytest`](https://docs.pytest.org/en/6.2.x/) on other plugins to for testing if its needed. + +Make sure to add what is needed to test and not too many parameterization options as it will make the tests go slow. Keep it to bare minimum needed to the test the parameter input. +Remember this is not to test the accuracy as pytest cannot look at the plot but rather to test edge cases of parameters that make it fail. From 356fa719c4de9f9eeb33ab0c6573b59a5a4c559d Mon Sep 17 00:00:00 2001 From: mts299 Date: Mon, 13 Sep 2021 15:12:52 -0600 Subject: [PATCH 086/109] finished writing pytest --- docs/dev/pytest.md | 15 +++++++++++++-- 1 file changed, 13 insertions(+), 2 deletions(-) diff --git a/docs/dev/pytest.md b/docs/dev/pytest.md index 880279d01..e84d6fc47 100644 --- a/docs/dev/pytest.md +++ b/docs/dev/pytest.md @@ -37,7 +37,11 @@ Running `pytest` in pyDARN is for developers and testers that work with GitHub. ### Adding to Pre-existing Tests -Changing, Adding, Removing Parameters Testing +Changing, adding, and/or removing parameters from pyDARN methods, means the test code will need to change in the `parameterize` decorator. Please refer to the `test_.py` file that corresponds with the methods module you changed. + +- If you **changed a parameters input type, limitation, or name**, then look for the parameter in the `parameterize` decorators list (typically above the class) and changed the `key` name if you changed the parameter name or `value` if the type or limits are changed. Then update the method calls that take the parameter. +- If you **add a new parameter** to a pyDARN method, then add a `parameterize` decorator before the class (with the other ones) and add the parameter name as the `key` name and add potential `value` test cases. (Not too many as this will make it slow to test). Make sure to add it to the corresponding method tests as well. +- If you **remove a parameter** then remove the `parameterize` decorator corresponding to the parameter. ### Adding a New Test Module @@ -47,4 +51,11 @@ Name the file test_.py such that `pytest` can find it and run You can use `test/test_rtp.py` as a template on how to write test code and read [`pytest`](https://docs.pytest.org/en/6.2.x/) on other plugins to for testing if its needed. Make sure to add what is needed to test and not too many parameterization options as it will make the tests go slow. Keep it to bare minimum needed to the test the parameter input. -Remember this is not to test the accuracy as pytest cannot look at the plot but rather to test edge cases of parameters that make it fail. +Remember this is not to test the accuracy as pytest cannot look at the plot but rather to test edge cases of parameters that make it fail. + +!!! Note + There are files provided for testing in the `test/data/` directory. If you need to add please keep the file size as small as possible and check in with other before adding. If its too big, it may not be able to be added to GitHub and cause pydarn to be slow to download. + +To avoid writing several tests with the same body of code, consider using the `paranetrize` to provide various types of inputs for one function. + +If you want to reuse `parameterize` parameters for other tests place them in a class, all methods of that class have to take the `parameterize` parameters. One can add more parameters to a method by placing the `parameterize` decorator and parameter name above it and then include in the methods input. From 3ed69229b7668d1a6e390bc6a644c816e7358ea6 Mon Sep 17 00:00:00 2001 From: mts299 Date: Mon, 13 Sep 2021 15:17:18 -0600 Subject: [PATCH 087/109] added pytest doc to the index and mkdocs --- docs/index.md | 1 + mkdocs.yml | 1 + 2 files changed, 2 insertions(+) diff --git a/docs/index.md b/docs/index.md index cd6ad564d..b454fe399 100644 --- a/docs/index.md +++ b/docs/index.md @@ -35,6 +35,7 @@ If you have any questions or concerns please submit an **Issue** on the SuperDAR - [Projects](dev/projects.md) - [Issues](dev/issues.md) - [Branches](dev/branching.md) + - [Unit Testing](dev/pytest.md) - [Pull Requests](dev/PR.md) - [Testing](dev/testing.md) - [Code Reviews](dev/code_review.md) diff --git a/mkdocs.yml b/mkdocs.yml index e63fb8aea..9fd0b6893 100644 --- a/mkdocs.yml +++ b/mkdocs.yml @@ -32,6 +32,7 @@ nav: - Projects: dev/projects.md - Issues: dev/issues.md - Branches: dev/branching.md + - Unit Testing: dev/pytest.md - Pull Requests: dev/PR.md - Testing: dev/testing.md - Code Reviews: dev/code_review.md From 1d480837508e72036ce833263f76e06b54ca8cb8 Mon Sep 17 00:00:00 2001 From: mts299 Date: Mon, 13 Sep 2021 15:18:56 -0600 Subject: [PATCH 088/109] added the link of pytest in branching --- docs/dev/branching.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/dev/branching.md b/docs/dev/branching.md index ca9bbfd3d..9e86ea685 100644 --- a/docs/dev/branching.md +++ b/docs/dev/branching.md @@ -66,4 +66,4 @@ In git, "branches" are used to make changes to the code without affecting the ma git push origin * Repeat the above commands above as you work on the code changes -* Once you have completed, documented, and tested your code then you can create a pull request, see [pull request](PR.md) +* Once you have completed, documented, tested and update the [unit tests](pytest.md) then you can create a pull request, see [pull request](PR.md) From 9a05adf4e217e4a96be6c6db514ce2aecdf7626c Mon Sep 17 00:00:00 2001 From: mts299 Date: Mon, 13 Sep 2021 15:20:09 -0600 Subject: [PATCH 089/109] updated pytest hyperlink --- docs/dev/PR.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/dev/PR.md b/docs/dev/PR.md index 4611e9d05..4517fdecd 100644 --- a/docs/dev/PR.md +++ b/docs/dev/PR.md @@ -24,8 +24,8 @@ Before submitting a PR check the code check list first: - copyright and disclaimer, or modification line is added - the code installs with python 3.6 and higher -- the code doesn't fail on `pytest` test -- Any new features need to have tests for `pytest` to run on +- the code doesn't fail on [`pytest` test](pytest.md) +- Any new features need to have [tests for `pytest` to run on](pytest.md) - documentation is updated or in another PR for users - Follows [PEP8](https://www.python.org/dev/peps/pep-0008/) code style and [pandas docstring](https://pandas.pydata.org/pandas-docs/stable/development/contributing_docstring.html) style - unit tests or various testing has been added/done From 1cd0c1a49f5c5376bf3ab83f4dd0c077afd00fe5 Mon Sep 17 00:00:00 2001 From: Francis Tholley Date: Wed, 15 Sep 2021 14:20:31 -0400 Subject: [PATCH 090/109] modularization of virtual heights --- pydarn/utils/radar_pos.py | 72 +++++++-------------------- pydarn/utils/virtual_heights.py | 56 +++++++++++++++++++++ pydarn/utils/virtual_heights_types.py | 34 +++++++++++++ 3 files changed, 108 insertions(+), 54 deletions(-) create mode 100644 pydarn/utils/virtual_heights.py create mode 100644 pydarn/utils/virtual_heights_types.py diff --git a/pydarn/utils/radar_pos.py b/pydarn/utils/radar_pos.py index e4c1163b9..13d4aed36 100644 --- a/pydarn/utils/radar_pos.py +++ b/pydarn/utils/radar_pos.py @@ -45,6 +45,8 @@ from pydarn import SuperDARNRadars, gate2slant, Coords from pydarn.utils.constants import EARTH_EQUATORIAL_RADIUS, Re, C +from pydarn.utils.virtual_heights_types import VH_types +from pydarn.utils.virtual_heights import standard_virtual_height, chisham def radar_fov(stid: int, rsep: int = 45, frang: int = 180, ranges: tuple = None, fov_files: bool = False, @@ -146,7 +148,8 @@ def radar_fov(stid: int, rsep: int = 45, frang: int = 180, def geographic_cell_positions(stid: int, beam: int, range_gate: int, rsep: int = 45, frang: int = 180, height: float = None, elv_angle: float = 0.0, - center: bool = True, chisham: bool = False): + center: bool = True, chisham: bool = False, + virtual_height_type: object = VH_types.STANDARD_VIRTUAL_HEIGHT): """ determines the geographic cell position for a given range gate and beam @@ -177,9 +180,9 @@ def geographic_cell_positions(stid: int, beam: int, range_gate: int, obtain geographic location of the centre of the range gates False obtains the front edge of the range gates. default: True - chisham: bool - use the Gareth Chisham virtual height model - default: False + virtual_height_type: object + use for choosing type of virtual height + default: VH_types.STANDARD_VIRTUAL_HEIGHT returns ------- @@ -224,7 +227,7 @@ def geographic_cell_positions(stid: int, beam: int, range_gate: int, np.sin(np.radians(elv_angle)) + slant_range**2) lat, lon = geocentric_coordinates(radar_lat, radar_lon, slant_range, - height, psi, boresight, chisham) + height, psi, boresight, virtual_height_type = virtual_height_type) # convert back degrees as preferred units to use? return np.degrees(lat), np.degrees(lon) @@ -234,7 +237,7 @@ def geographic_cell_positions(stid: int, beam: int, range_gate: int, def geocentric_coordinates(radar_lat: float, radar_lon: float, slant_range: float, cell_height: float, psi: float, boresight: float, - chisham: bool = False): + virtual_height_type: object = VH_types.STANDARD_VIRTUAL_HEIGHT): """ Calculates the geocentric coordinates of gate cell point, using either the standard or Chisham virtual height model. @@ -253,9 +256,9 @@ def geocentric_coordinates(radar_lat: float, radar_lon: float, [rad] boresight: float boresight of the radar beam [rad] - chisham: bool - use the virtual height chisham model - default: False + virtual_height_type: object + use for choosing type of virtual height + default: VH_types.STANDARD_VIRTUAL_HEIGHT Returns ------- @@ -271,51 +274,12 @@ def geocentric_coordinates(radar_lat: float, radar_lon: float, radars – Part 1: A new empirical virtual height model by G. Chisham 2008 (https://doi.org/10.5194/angeo-26-823-2008) """ - if chisham: - # Model constants - A_const = (108.974, 384.416, 1098.28) - B_const = (0.0191271, -0.178640, -0.354557) - C_const = (6.68283e-5, 1.81405e-4, 9.39961e-5) - - # determine which region of ionosphere the gate - if slant_range < 115: - x_height = (slant_range / 115.0) * 112.0 - elif slant_range < 787.5: - x_height = A_const[0] + B_const[0] * slant_range + C_const[0] *\ - slant_range**2 - elif slant_range <= 2137.5: - x_height = A_const[1] + B_const[1] * slant_range + C_const[1] *\ - slant_range**2 - else: - x_height = A_const[2] + B_const[2] * slant_range + C_const[2] *\ - slant_range**2 - else: - """ - cell_height, slant_range and x_height are in km - Default values set in virtual height model described - Mapping ionospheric backscatter measured by the SuperDARN HF - radars – Part 1: A new empirical virtual height model by - G. Chisham 2008 - Equation (1) in the paper - < 150 km climbing into the E region - 150 - 600 km E region scatter - (Note in the paper 400 km is the edge of the E region) - 600 - 800 km is F region - """ - # TODO: why 115? - # map everything into the E region - if cell_height <= 150 and slant_range > 150: - x_height = cell_height - # virtual height equation (1) from the above paper - elif slant_range < 150: - x_height = (slant_range / 150.0) * 115 - elif slant_range >= 150 and slant_range <= 600: - x_height = 115 - elif slant_range > 600 and slant_range < 800: - x_height = (slant_range - 600) / 200 * (cell_height - 115) + 115 - # higher than 800 km - else: - x_height = cell_height + if virtual_height_type == VH_types.CHISHAM: + x_height = chisham(slant_range) + + if virtual_height_type == VH_types.STANDARD_VIRTUAL_HEIGHT: + x_height = standard_virtual_height(slant_range, cell_height) + # calculate the radius over the earth underneath # the radar and range gate cell rlat, rlon, r_radar, delta = geodetic2geocentric(radar_lat, radar_lon) diff --git a/pydarn/utils/virtual_heights.py b/pydarn/utils/virtual_heights.py new file mode 100644 index 000000000..bea6919b2 --- /dev/null +++ b/pydarn/utils/virtual_heights.py @@ -0,0 +1,56 @@ +""" virtual_heights.py comprises of different types of virtual heights""" + +def chisham(slant_range: float): + # Gareth Chisham Virtual height model: + """ + Mapping ionospheric backscatter measured by the SuperDARN HF + radars – Part 1: A new empirical virtual height model by + G. Chisham 2008 (https://doi.org/10.5194/angeo-26-823-2008) + """ + # Model constants + A_const = (108.974, 384.416, 1098.28) + B_const = (0.0191271, -0.178640, -0.354557) + C_const = (6.68283e-5, 1.81405e-4, 9.39961e-5) + + # determine which region of ionosphere the gate + if slant_range < 115: + return (slant_range / 115.0) * 112.0 + elif slant_range < 787.5: + return A_const[0] + B_const[0] * slant_range + C_const[0] *\ + slant_range**2 + elif slant_range <= 2137.5: + return A_const[1] + B_const[1] * slant_range + C_const[1] *\ + slant_range**2 + else: + return A_const[2] + B_const[2] * slant_range + C_const[2] *\ + slant_range**2 + + +def standard_virtual_height(slant_range: float, cell_height: float): + """ + cell_height, slant_range and x_height are in km + Default values set in virtual height model described + Mapping ionospheric backscatter measured by the SuperDARN HF + radars – Part 1: A new empirical virtual height model by + G. Chisham 2008 + Equation (1) in the paper + < 150 km climbing into the E region + 150 - 600 km E region scatter + (Note in the paper 400 km is the edge of the E region) + 600 - 800 km is F region + """ + # TODO: why 115? + # map everything into the E region + if cell_height <= 150 and slant_range > 150: + return cell_height + # virtual height equation (1) from the above paper + elif slant_range < 150: + return (slant_range / 150.0) * 115 + elif slant_range >= 150 and slant_range <= 600: + return 115 + elif slant_range > 600 and slant_range < 800: + return (slant_range - 600) / 200 * (cell_height - 115) + 115 + # higher than 800 km + else: + return cell_height + diff --git a/pydarn/utils/virtual_heights_types.py b/pydarn/utils/virtual_heights_types.py new file mode 100644 index 000000000..c20215e51 --- /dev/null +++ b/pydarn/utils/virtual_heights_types.py @@ -0,0 +1,34 @@ +# (C) Copyright 2021 SuperDARN Canada, University of Saskatchewan +# Author(s): Marina Schmidt +# +# This file is part of the pyDARN Library. +# +# pyDARN is under the LGPL v3 license found in the root directory LICENSE.md +# Everyone is permitted to copy and distribute verbatim copies of this license +# document, but changing it is not allowed. +# +# This version of the GNU Lesser General Public License incorporates the terms +# and conditions of version 3 of the GNU Lesser General Public License, +# supplemented by the additional permissions listed below. +# +# Modifications: +# + +""" +virtual_heights_types.py is a group of methods that focus on the type of virtual heights +""" +import enum + +class VH_types(enum.Enum): + """ + This virtual height types class is to list the current virtual height systems + a user can pick from + + enumerators: + STANDARD_VIRTUAL_HEIGHT: Standard_Virtual_height (km) + CHISHAM: chisham (km) + """ + + STANDARD_VIRTUAL_HEIGHT = enum.auto() + CHISHAM = enum.auto() + From e0678a3a4084483c8800b232f0aeba5dc278d6a4 Mon Sep 17 00:00:00 2001 From: mts299 Date: Wed, 15 Sep 2021 12:57:21 -0600 Subject: [PATCH 091/109] removed plot fov files and parameter option --- pydarn/plotting/fan.py | 8 +- pydarn/radar_fov_files/001_lats.txt | 101 ------------------------- pydarn/radar_fov_files/001_lons.txt | 101 ------------------------- pydarn/radar_fov_files/003_lats.txt | 101 ------------------------- pydarn/radar_fov_files/003_lons.txt | 101 ------------------------- pydarn/radar_fov_files/004_lats.txt | 76 ------------------- pydarn/radar_fov_files/004_lons.txt | 76 ------------------- pydarn/radar_fov_files/005_lats.txt | 76 ------------------- pydarn/radar_fov_files/005_lons.txt | 76 ------------------- pydarn/radar_fov_files/006_lats.txt | 76 ------------------- pydarn/radar_fov_files/006_lons.txt | 76 ------------------- pydarn/radar_fov_files/007_lats.txt | 76 ------------------- pydarn/radar_fov_files/007_lons.txt | 76 ------------------- pydarn/radar_fov_files/008_lats.txt | 76 ------------------- pydarn/radar_fov_files/008_lons.txt | 76 ------------------- pydarn/radar_fov_files/009_lats.txt | 76 ------------------- pydarn/radar_fov_files/009_lons.txt | 76 ------------------- pydarn/radar_fov_files/010_lats.txt | 76 ------------------- pydarn/radar_fov_files/010_lons.txt | 76 ------------------- pydarn/radar_fov_files/011_lats.txt | 76 ------------------- pydarn/radar_fov_files/011_lons.txt | 76 ------------------- pydarn/radar_fov_files/012_lats.txt | 76 ------------------- pydarn/radar_fov_files/012_lons.txt | 76 ------------------- pydarn/radar_fov_files/013_lats.txt | 76 ------------------- pydarn/radar_fov_files/013_lons.txt | 76 ------------------- pydarn/radar_fov_files/014_lats.txt | 76 ------------------- pydarn/radar_fov_files/014_lons.txt | 76 ------------------- pydarn/radar_fov_files/015_lats.txt | 76 ------------------- pydarn/radar_fov_files/015_lons.txt | 76 ------------------- pydarn/radar_fov_files/016_lats.txt | 76 ------------------- pydarn/radar_fov_files/016_lons.txt | 76 ------------------- pydarn/radar_fov_files/018_lats.txt | 76 ------------------- pydarn/radar_fov_files/018_lons.txt | 76 ------------------- pydarn/radar_fov_files/019_lats.txt | 76 ------------------- pydarn/radar_fov_files/019_lons.txt | 76 ------------------- pydarn/radar_fov_files/020_lats.txt | 76 ------------------- pydarn/radar_fov_files/020_lons.txt | 76 ------------------- pydarn/radar_fov_files/021_lats.txt | 76 ------------------- pydarn/radar_fov_files/021_lons.txt | 76 ------------------- pydarn/radar_fov_files/022_lats.txt | 76 ------------------- pydarn/radar_fov_files/022_lons.txt | 76 ------------------- pydarn/radar_fov_files/024_lats.txt | 111 ---------------------------- pydarn/radar_fov_files/024_lons.txt | 111 ---------------------------- pydarn/radar_fov_files/032_lats.txt | 111 ---------------------------- pydarn/radar_fov_files/032_lons.txt | 111 ---------------------------- pydarn/radar_fov_files/033_lats.txt | 111 ---------------------------- pydarn/radar_fov_files/033_lons.txt | 111 ---------------------------- pydarn/radar_fov_files/040_lats.txt | 111 ---------------------------- pydarn/radar_fov_files/040_lons.txt | 111 ---------------------------- pydarn/radar_fov_files/041_lats.txt | 101 ------------------------- pydarn/radar_fov_files/041_lons.txt | 101 ------------------------- pydarn/radar_fov_files/050_lats.txt | 101 ------------------------- pydarn/radar_fov_files/050_lons.txt | 101 ------------------------- pydarn/radar_fov_files/064_lats.txt | 101 ------------------------- pydarn/radar_fov_files/064_lons.txt | 101 ------------------------- pydarn/radar_fov_files/065_lats.txt | 101 ------------------------- pydarn/radar_fov_files/065_lons.txt | 101 ------------------------- pydarn/radar_fov_files/066_lats.txt | 101 ------------------------- pydarn/radar_fov_files/066_lons.txt | 101 ------------------------- pydarn/radar_fov_files/090_lats.txt | 111 ---------------------------- pydarn/radar_fov_files/090_lons.txt | 111 ---------------------------- pydarn/radar_fov_files/096_lats.txt | 76 ------------------- pydarn/radar_fov_files/096_lons.txt | 76 ------------------- pydarn/radar_fov_files/097_lats.txt | 76 ------------------- pydarn/radar_fov_files/097_lons.txt | 76 ------------------- pydarn/radar_fov_files/204_lats.txt | 111 ---------------------------- pydarn/radar_fov_files/204_lons.txt | 111 ---------------------------- pydarn/radar_fov_files/205_lats.txt | 111 ---------------------------- pydarn/radar_fov_files/205_lons.txt | 111 ---------------------------- pydarn/radar_fov_files/206_lats.txt | 111 ---------------------------- pydarn/radar_fov_files/206_lons.txt | 111 ---------------------------- pydarn/radar_fov_files/207_lats.txt | 111 ---------------------------- pydarn/radar_fov_files/207_lons.txt | 111 ---------------------------- pydarn/radar_fov_files/208_lats.txt | 111 ---------------------------- pydarn/radar_fov_files/208_lons.txt | 111 ---------------------------- pydarn/radar_fov_files/209_lats.txt | 111 ---------------------------- pydarn/radar_fov_files/209_lons.txt | 111 ---------------------------- pydarn/radar_fov_files/512_lats.txt | 76 ------------------- pydarn/radar_fov_files/512_lons.txt | 76 ------------------- pydarn/utils/radar_pos.py | 93 +++++++---------------- 80 files changed, 30 insertions(+), 7119 deletions(-) delete mode 100644 pydarn/radar_fov_files/001_lats.txt delete mode 100644 pydarn/radar_fov_files/001_lons.txt delete mode 100644 pydarn/radar_fov_files/003_lats.txt delete mode 100644 pydarn/radar_fov_files/003_lons.txt delete mode 100644 pydarn/radar_fov_files/004_lats.txt delete mode 100644 pydarn/radar_fov_files/004_lons.txt delete mode 100644 pydarn/radar_fov_files/005_lats.txt delete mode 100644 pydarn/radar_fov_files/005_lons.txt delete mode 100644 pydarn/radar_fov_files/006_lats.txt delete mode 100644 pydarn/radar_fov_files/006_lons.txt delete mode 100644 pydarn/radar_fov_files/007_lats.txt delete mode 100644 pydarn/radar_fov_files/007_lons.txt delete mode 100644 pydarn/radar_fov_files/008_lats.txt delete mode 100644 pydarn/radar_fov_files/008_lons.txt delete mode 100644 pydarn/radar_fov_files/009_lats.txt delete mode 100644 pydarn/radar_fov_files/009_lons.txt delete mode 100644 pydarn/radar_fov_files/010_lats.txt delete mode 100644 pydarn/radar_fov_files/010_lons.txt delete mode 100644 pydarn/radar_fov_files/011_lats.txt delete mode 100644 pydarn/radar_fov_files/011_lons.txt delete mode 100644 pydarn/radar_fov_files/012_lats.txt delete mode 100644 pydarn/radar_fov_files/012_lons.txt delete mode 100644 pydarn/radar_fov_files/013_lats.txt delete mode 100644 pydarn/radar_fov_files/013_lons.txt delete mode 100644 pydarn/radar_fov_files/014_lats.txt delete mode 100644 pydarn/radar_fov_files/014_lons.txt delete mode 100644 pydarn/radar_fov_files/015_lats.txt delete mode 100644 pydarn/radar_fov_files/015_lons.txt delete mode 100644 pydarn/radar_fov_files/016_lats.txt delete mode 100644 pydarn/radar_fov_files/016_lons.txt delete mode 100644 pydarn/radar_fov_files/018_lats.txt delete mode 100644 pydarn/radar_fov_files/018_lons.txt delete mode 100644 pydarn/radar_fov_files/019_lats.txt delete mode 100644 pydarn/radar_fov_files/019_lons.txt delete mode 100644 pydarn/radar_fov_files/020_lats.txt delete mode 100644 pydarn/radar_fov_files/020_lons.txt delete mode 100644 pydarn/radar_fov_files/021_lats.txt delete mode 100644 pydarn/radar_fov_files/021_lons.txt delete mode 100644 pydarn/radar_fov_files/022_lats.txt delete mode 100644 pydarn/radar_fov_files/022_lons.txt delete mode 100644 pydarn/radar_fov_files/024_lats.txt delete mode 100644 pydarn/radar_fov_files/024_lons.txt delete mode 100644 pydarn/radar_fov_files/032_lats.txt delete mode 100644 pydarn/radar_fov_files/032_lons.txt delete mode 100644 pydarn/radar_fov_files/033_lats.txt delete mode 100644 pydarn/radar_fov_files/033_lons.txt delete mode 100644 pydarn/radar_fov_files/040_lats.txt delete mode 100644 pydarn/radar_fov_files/040_lons.txt delete mode 100644 pydarn/radar_fov_files/041_lats.txt delete mode 100644 pydarn/radar_fov_files/041_lons.txt delete mode 100644 pydarn/radar_fov_files/050_lats.txt delete mode 100644 pydarn/radar_fov_files/050_lons.txt delete mode 100644 pydarn/radar_fov_files/064_lats.txt delete mode 100644 pydarn/radar_fov_files/064_lons.txt delete mode 100644 pydarn/radar_fov_files/065_lats.txt delete mode 100644 pydarn/radar_fov_files/065_lons.txt delete mode 100644 pydarn/radar_fov_files/066_lats.txt delete mode 100644 pydarn/radar_fov_files/066_lons.txt delete mode 100644 pydarn/radar_fov_files/090_lats.txt delete mode 100644 pydarn/radar_fov_files/090_lons.txt delete mode 100644 pydarn/radar_fov_files/096_lats.txt delete mode 100644 pydarn/radar_fov_files/096_lons.txt delete mode 100644 pydarn/radar_fov_files/097_lats.txt delete mode 100644 pydarn/radar_fov_files/097_lons.txt delete mode 100644 pydarn/radar_fov_files/204_lats.txt delete mode 100644 pydarn/radar_fov_files/204_lons.txt delete mode 100644 pydarn/radar_fov_files/205_lats.txt delete mode 100644 pydarn/radar_fov_files/205_lons.txt delete mode 100644 pydarn/radar_fov_files/206_lats.txt delete mode 100644 pydarn/radar_fov_files/206_lons.txt delete mode 100644 pydarn/radar_fov_files/207_lats.txt delete mode 100644 pydarn/radar_fov_files/207_lons.txt delete mode 100644 pydarn/radar_fov_files/208_lats.txt delete mode 100644 pydarn/radar_fov_files/208_lons.txt delete mode 100644 pydarn/radar_fov_files/209_lats.txt delete mode 100644 pydarn/radar_fov_files/209_lons.txt delete mode 100644 pydarn/radar_fov_files/512_lats.txt delete mode 100644 pydarn/radar_fov_files/512_lons.txt diff --git a/pydarn/plotting/fan.py b/pydarn/plotting/fan.py index c325b8a2d..b95aae32e 100644 --- a/pydarn/plotting/fan.py +++ b/pydarn/plotting/fan.py @@ -5,6 +5,7 @@ # 2021-05-07: CJM - Included radar position and labels in plotting # 2021-04-01 Shane Coyle added pcolormesh to the code # 2021-05-19 Marina Schmidt - Added scan index with datetimes +# 2021-09-15 Marina Schmidt - removed fov file options # # Disclaimer: # pyDARN is under the LGPL v3 license found in the root directory LICENSE.md @@ -265,8 +266,7 @@ def plot_fov(cls, stid: str, date: dt.datetime, ax=None, ranges: List = [], boundary: bool = True, fov_color: str = None, alpha: int = 0.5, radar_location: bool = True, radar_label: bool = False, - line_color: str = 'black', - fov_files: bool = False, **kwargs): + line_color: str = 'black', **kwargs): """ plots only the field of view (FOV) for a given radar station ID (stid) @@ -299,10 +299,6 @@ def plot_fov(cls, stid: str, date: dt.datetime, alpha controls the transparency of the fov color Default: 0.5 - fov_files: bool - boolean determine if the fov should be read by the files - provided in pyDARN. Else it will use radar position code. - Default: False radar_location: bool Add a dot where radar is located if True Default: False diff --git a/pydarn/radar_fov_files/001_lats.txt b/pydarn/radar_fov_files/001_lats.txt deleted file mode 100644 index 1cb5d527a..000000000 --- a/pydarn/radar_fov_files/001_lats.txt +++ /dev/null @@ -1,101 +0,0 @@ - 53.782 53.830 53.869 53.900 53.923 53.939 53.949 53.952 53.949 53.940 53.924 53.902 53.873 53.838 53.795 53.745 53.685 - 54.295 54.340 54.378 54.408 54.430 54.446 54.455 54.457 54.452 54.440 54.421 54.396 54.364 54.325 54.279 54.226 54.166 - 54.768 54.816 54.857 54.890 54.914 54.931 54.940 54.941 54.935 54.920 54.898 54.868 54.831 54.786 54.733 54.673 54.605 - 55.197 55.252 55.298 55.334 55.362 55.381 55.391 55.391 55.383 55.366 55.340 55.305 55.261 55.209 55.148 55.079 55.001 - 55.607 55.669 55.721 55.763 55.794 55.815 55.826 55.826 55.816 55.796 55.766 55.726 55.675 55.615 55.545 55.466 55.377 - 56.007 56.076 56.134 56.181 56.216 56.240 56.252 56.252 56.241 56.218 56.183 56.137 56.080 56.011 55.932 55.842 55.742 - 56.399 56.476 56.541 56.594 56.633 56.659 56.672 56.672 56.659 56.633 56.594 56.542 56.478 56.401 56.312 56.211 56.099 - 56.786 56.872 56.944 57.002 57.045 57.074 57.089 57.089 57.074 57.045 57.001 56.943 56.871 56.786 56.687 56.575 56.450 - 57.169 57.264 57.343 57.407 57.455 57.487 57.503 57.502 57.486 57.454 57.405 57.341 57.262 57.167 57.058 56.934 56.797 - 57.550 57.653 57.740 57.810 57.862 57.897 57.915 57.914 57.896 57.860 57.807 57.737 57.649 57.546 57.426 57.290 57.140 - 57.928 58.040 58.135 58.211 58.268 58.306 58.325 58.324 58.304 58.265 58.207 58.130 58.035 57.922 57.791 57.643 57.479 - 58.168 58.291 58.395 58.478 58.541 58.583 58.604 58.604 58.582 58.540 58.477 58.394 58.290 58.167 58.025 57.865 57.687 - 58.336 58.471 58.585 58.677 58.746 58.792 58.816 58.816 58.794 58.748 58.681 58.591 58.479 58.346 58.191 58.017 57.823 - 58.460 58.609 58.734 58.834 58.910 58.962 58.988 58.990 58.966 58.918 58.845 58.748 58.627 58.483 58.317 58.128 57.917 - 58.544 58.708 58.845 58.955 59.039 59.096 59.126 59.128 59.104 59.053 58.975 58.871 58.741 58.585 58.405 58.201 57.972 - 58.744 58.920 59.067 59.186 59.277 59.338 59.370 59.374 59.348 59.293 59.210 59.099 58.960 58.794 58.602 58.383 58.139 - 59.164 59.348 59.502 59.627 59.721 59.785 59.818 59.821 59.793 59.735 59.647 59.530 59.383 59.208 59.005 58.775 58.519 - 59.577 59.769 59.930 60.060 60.159 60.225 60.260 60.262 60.232 60.171 60.077 59.953 59.798 59.614 59.400 59.159 58.890 - 59.982 60.183 60.351 60.488 60.591 60.660 60.696 60.698 60.666 60.601 60.502 60.371 60.208 60.013 59.789 59.535 59.253 - 60.381 60.591 60.768 60.910 61.018 61.091 61.128 61.130 61.096 61.026 60.922 60.784 60.612 60.407 60.171 59.905 59.609 - 60.775 60.995 61.180 61.329 61.442 61.518 61.556 61.558 61.522 61.448 61.338 61.193 61.012 60.797 60.549 60.269 59.959 - 61.165 61.394 61.588 61.744 61.862 61.941 61.982 61.983 61.944 61.867 61.751 61.598 61.407 61.181 60.921 60.628 60.303 - 61.550 61.790 61.992 62.156 62.279 62.362 62.404 62.405 62.364 62.283 62.161 62.000 61.800 61.563 61.290 60.982 60.643 - 61.932 62.183 62.394 62.565 62.694 62.781 62.825 62.825 62.782 62.696 62.568 62.399 62.189 61.940 61.654 61.333 60.977 - 62.310 62.572 62.793 62.972 63.107 63.198 63.243 63.243 63.198 63.108 62.973 62.795 62.575 62.314 62.015 61.679 61.308 - 62.685 62.958 63.190 63.376 63.518 63.612 63.660 63.660 63.612 63.517 63.376 63.189 62.958 62.686 62.372 62.021 61.634 - 63.057 63.342 63.584 63.779 63.927 64.026 64.075 64.074 64.024 63.925 63.776 63.581 63.339 63.054 62.727 62.360 61.955 - 63.426 63.724 63.976 64.180 64.334 64.437 64.489 64.488 64.435 64.331 64.175 63.971 63.718 63.420 63.078 62.695 62.273 - 63.792 64.103 64.366 64.579 64.740 64.848 64.901 64.900 64.845 64.735 64.573 64.359 64.095 63.783 63.426 63.027 62.588 - 64.156 64.480 64.754 64.977 65.145 65.257 65.313 65.312 65.254 65.139 64.969 64.745 64.469 64.144 63.771 63.355 62.898 - 64.517 64.855 65.141 65.373 65.548 65.666 65.724 65.722 65.661 65.541 65.363 65.129 64.841 64.502 64.114 63.680 63.205 - 64.876 65.228 65.526 65.768 65.951 66.073 66.134 66.132 66.068 65.942 65.756 65.512 65.211 64.857 64.453 64.002 63.508 - 65.232 65.599 65.909 66.161 66.352 66.480 66.543 66.541 66.474 66.343 66.148 65.893 65.580 65.211 64.790 64.321 63.807 - 65.586 65.968 66.291 66.554 66.753 66.886 66.952 66.949 66.879 66.742 66.539 66.273 65.946 65.562 65.124 64.636 64.103 - 65.938 66.334 66.671 66.945 67.152 67.291 67.360 67.357 67.284 67.141 66.929 66.651 66.311 65.911 65.455 64.948 64.395 - 66.287 66.699 67.050 67.335 67.551 67.696 67.767 67.764 67.688 67.538 67.317 67.028 66.673 66.257 65.783 65.257 64.683 - 66.633 67.062 67.427 67.724 67.949 68.100 68.174 68.171 68.091 67.935 67.705 67.403 67.034 66.601 66.109 65.563 64.967 - 66.977 67.423 67.803 68.112 68.346 68.503 68.581 68.578 68.494 68.331 68.091 67.777 67.392 66.942 66.431 65.865 65.248 - 67.319 67.782 68.177 68.498 68.743 68.906 68.987 68.984 68.897 68.727 68.476 68.149 67.749 67.281 66.751 66.163 65.524 - 67.658 68.139 68.549 68.884 69.139 69.309 69.393 69.390 69.299 69.121 68.860 68.520 68.103 67.617 67.067 66.458 65.797 - 67.994 68.494 68.920 69.269 69.534 69.711 69.799 69.795 69.700 69.515 69.244 68.889 68.456 67.951 67.380 66.749 66.065 - 68.328 68.846 69.290 69.652 69.928 70.113 70.205 70.201 70.102 69.909 69.626 69.256 68.806 68.282 67.690 67.037 66.329 - 68.659 69.197 69.658 70.035 70.322 70.515 70.610 70.606 70.502 70.301 70.006 69.622 69.155 68.611 67.997 67.321 66.589 - 68.987 69.545 70.024 70.416 70.715 70.916 71.015 71.011 70.903 70.694 70.386 69.986 69.501 68.936 68.300 67.600 66.845 - 69.311 69.891 70.388 70.796 71.108 71.317 71.421 71.416 71.303 71.085 70.765 70.349 69.844 69.258 68.600 67.876 67.096 - 69.633 70.234 70.751 71.175 71.499 71.718 71.826 71.821 71.703 71.476 71.142 70.710 70.186 69.578 68.896 68.148 67.342 - 69.952 70.575 71.111 71.553 71.890 72.118 72.230 72.225 72.103 71.866 71.518 71.069 70.524 69.894 69.188 68.415 67.583 - 70.267 70.913 71.470 71.929 72.281 72.518 72.635 72.630 72.502 72.255 71.893 71.426 70.860 70.207 69.476 68.677 67.820 - 70.578 71.248 71.827 72.304 72.670 72.918 73.040 73.035 72.901 72.643 72.267 71.780 71.193 70.516 69.760 68.935 68.051 - 70.886 71.580 72.181 72.677 73.059 73.317 73.445 73.439 73.300 73.031 72.639 72.133 71.524 70.822 70.040 69.188 68.277 - 71.190 71.909 72.533 73.050 73.447 73.716 73.850 73.844 73.698 73.418 73.010 72.484 71.851 71.124 70.316 69.437 68.498 - 71.490 72.235 72.883 73.420 73.834 74.115 74.254 74.248 74.097 73.804 73.379 72.832 72.175 71.422 70.587 69.680 68.713 - 71.786 72.558 73.230 73.789 74.221 74.514 74.659 74.653 74.494 74.189 73.746 73.177 72.496 71.716 70.853 69.918 68.923 - 72.077 72.876 73.574 74.156 74.606 74.912 75.064 75.057 74.892 74.573 74.112 73.520 72.813 72.006 71.114 70.150 69.126 - 72.364 73.191 73.916 74.521 74.990 75.310 75.469 75.462 75.289 74.957 74.475 73.860 73.126 72.291 71.370 70.376 69.324 - 72.646 73.502 74.254 74.884 75.373 75.707 75.874 75.867 75.686 75.339 74.837 74.197 73.436 72.571 71.620 70.597 69.515 - 72.922 73.809 74.590 75.245 75.755 76.105 76.279 76.271 76.082 75.720 75.197 74.531 73.741 72.847 71.865 70.812 69.700 - 73.194 74.111 74.921 75.603 76.136 76.501 76.684 76.676 76.479 76.099 75.554 74.861 74.042 73.117 72.104 71.020 69.878 - 73.459 74.409 75.249 75.959 76.515 76.898 77.089 77.081 76.874 76.478 75.908 75.188 74.338 73.381 72.337 71.222 70.050 - 73.719 74.701 75.573 76.312 76.893 77.293 77.494 77.486 77.269 76.854 76.260 75.511 74.629 73.640 72.563 71.417 70.214 - 73.973 74.988 75.893 76.662 77.269 77.689 77.900 77.891 77.664 77.229 76.609 75.829 74.915 73.893 72.783 71.605 70.372 - 74.220 75.270 76.208 77.009 77.644 78.083 78.305 78.296 78.058 77.603 76.955 76.143 75.196 74.139 72.996 71.785 70.522 - 74.460 75.545 76.519 77.353 78.016 78.477 78.711 78.702 78.451 77.974 77.297 76.452 75.470 74.379 73.202 71.959 70.664 - 74.693 75.814 76.824 77.692 78.386 78.870 79.116 79.107 78.843 78.343 77.636 76.757 75.739 74.612 73.401 72.124 70.799 - 74.919 76.076 77.123 78.028 78.754 79.263 79.522 79.513 79.235 78.710 77.971 77.055 76.000 74.837 73.591 72.282 70.926 - 75.136 76.331 77.416 78.359 79.119 79.654 79.928 79.918 79.626 79.074 78.301 77.348 76.255 75.055 73.774 72.432 71.045 - 75.346 76.579 77.703 78.685 79.481 80.044 80.334 80.324 80.015 79.435 78.626 77.634 76.502 75.265 73.948 72.574 71.156 - 75.546 76.818 77.983 79.006 79.839 80.433 80.740 80.729 80.403 79.793 78.946 77.914 76.742 75.466 74.114 72.706 71.258 - 75.738 77.049 78.255 79.320 80.194 80.821 81.146 81.135 80.790 80.147 79.260 78.186 76.973 75.659 74.271 72.830 71.352 - 75.920 77.270 78.520 79.629 80.545 81.207 81.552 81.541 81.175 80.497 79.568 78.450 77.195 75.842 74.419 72.946 71.437 - 76.093 77.483 78.775 79.930 80.891 81.591 81.958 81.947 81.559 80.843 79.869 78.706 77.409 76.016 74.557 73.051 71.513 - 76.255 77.685 79.021 80.223 81.232 81.972 82.364 82.352 81.940 81.183 80.162 78.953 77.612 76.180 74.686 73.148 71.581 - 76.407 77.876 79.258 80.508 81.567 82.351 82.770 82.758 82.318 81.517 80.447 79.190 77.805 76.334 74.804 73.235 71.639 - 76.547 78.057 79.483 80.784 81.895 82.727 83.176 83.163 82.693 81.845 80.723 79.416 77.987 76.477 74.913 73.312 71.688 - 76.677 78.226 79.697 81.049 82.215 83.099 83.581 83.569 83.065 82.165 80.989 79.632 78.158 76.609 75.010 73.379 71.728 - 76.794 78.382 79.899 81.303 82.527 83.467 83.986 83.974 83.433 82.477 81.244 79.835 78.317 76.730 75.097 73.437 71.758 - 76.900 78.526 80.088 81.545 82.829 83.830 84.391 84.378 83.795 82.780 81.487 80.026 78.464 76.838 75.173 73.484 71.779 - 76.992 78.657 80.263 81.773 83.120 84.187 84.795 84.782 84.151 83.071 81.717 80.204 78.598 76.935 75.238 73.520 71.790 - 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65.940 67.637 69.314 70.964 72.575 74.132 75.611 76.985 78.213 79.241 80.005 80.439 80.498 80.173 79.501 78.543 77.366 - 65.969 67.691 69.396 71.076 72.719 74.310 75.829 77.245 78.516 79.588 80.389 80.846 80.907 80.563 79.855 78.853 77.629 - 65.990 67.737 69.469 71.178 72.854 74.481 76.038 77.496 78.813 79.930 80.771 81.253 81.316 80.950 80.204 79.155 77.884 - 66.004 67.776 69.535 71.273 72.980 74.642 76.238 77.740 79.103 80.268 81.151 81.660 81.726 81.336 80.548 79.450 78.130 - 66.011 67.807 69.592 71.359 73.097 74.794 76.429 77.974 79.386 80.600 81.528 82.067 82.135 81.720 80.887 79.737 78.367 - 66.010 67.831 69.641 71.436 73.205 74.936 76.610 78.199 79.660 80.926 81.903 82.474 82.545 82.101 81.219 80.016 78.593 - 66.003 67.846 69.682 71.504 73.304 75.069 76.781 78.414 79.924 81.245 82.274 82.881 82.955 82.478 81.544 80.284 78.809 - 65.988 67.854 69.715 71.563 73.392 75.191 76.941 78.618 80.179 81.556 82.641 83.287 83.364 82.852 81.862 80.542 79.013 - 65.965 67.854 69.738 71.613 73.471 75.302 77.091 78.811 80.423 81.859 83.003 83.693 83.774 83.222 82.170 80.789 79.205 - 65.935 67.846 69.754 71.654 73.541 75.403 77.228 78.992 80.656 82.151 83.360 84.098 84.183 83.587 82.469 81.023 79.383 - 65.898 67.830 69.760 71.686 73.599 75.493 77.354 79.161 80.876 82.433 83.710 84.503 84.592 83.945 82.756 81.244 79.548 - 65.853 67.806 69.759 71.708 73.648 75.572 77.468 79.316 81.082 82.703 84.052 84.906 85.000 84.296 83.030 81.450 79.699 - 65.801 67.774 69.748 71.720 73.686 75.639 77.569 79.457 81.274 82.959 84.385 85.307 85.407 84.637 83.290 81.640 79.835 - 65.742 67.734 69.729 71.723 73.714 75.695 77.657 79.584 81.451 83.199 84.707 85.707 85.814 84.968 83.533 81.813 79.954 - 65.675 67.686 69.701 71.717 73.731 75.738 77.731 79.696 81.610 83.423 85.015 86.103 86.218 85.285 83.758 81.969 80.058 - 65.601 67.630 69.664 71.701 73.737 75.770 77.792 79.793 81.752 83.627 85.307 86.496 86.620 85.586 83.963 82.105 80.144 - 65.520 67.567 69.619 71.675 73.733 75.789 77.839 79.873 81.876 83.810 85.580 86.882 87.017 85.867 84.144 82.220 80.213 - 65.431 67.495 69.565 71.640 73.718 75.796 77.872 79.937 81.979 83.971 85.829 87.260 87.410 86.123 84.301 82.314 80.264 - 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73.217 73.055 72.804 72.467 72.051 71.562 71.007 70.392 69.726 69.015 68.264 67.481 66.670 65.836 64.984 64.118 63.241 - 73.619 73.449 73.186 72.833 72.398 71.888 71.309 70.671 69.980 69.243 68.467 67.658 66.821 65.962 65.086 64.196 63.296 - 74.021 73.843 73.566 73.197 72.742 72.210 71.608 70.945 70.228 69.465 68.663 67.828 66.966 66.083 65.182 64.268 63.346 - 74.423 74.235 73.945 73.559 73.084 72.529 71.903 71.214 70.471 69.682 68.854 67.993 67.105 66.197 65.272 64.334 63.389 - 74.824 74.627 74.323 73.919 73.423 72.845 72.193 71.478 70.709 69.893 69.038 68.151 67.238 66.305 65.355 64.394 63.426 - 75.225 75.018 74.699 74.276 73.759 73.156 72.479 71.738 70.941 70.098 69.217 68.303 67.365 66.406 65.432 64.448 63.456 - 75.626 75.408 75.074 74.632 74.092 73.464 72.761 71.992 71.168 70.297 69.389 68.449 67.484 66.501 65.503 64.495 63.481 - 76.026 75.798 75.448 74.985 74.421 73.768 73.037 72.241 71.388 70.490 69.554 68.588 67.598 66.589 65.567 64.536 63.499 - 76.426 76.186 75.819 75.335 74.747 74.067 73.309 72.484 71.603 70.677 69.713 68.720 67.704 66.671 65.624 64.570 63.511 - 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68.887 69.337 69.759 70.150 70.507 70.828 71.109 71.349 71.545 71.694 71.797 71.850 71.854 71.808 71.713 71.570 71.379 - 69.146 69.617 70.060 70.470 70.846 71.185 71.482 71.735 71.943 72.102 72.210 72.268 72.273 72.225 72.126 71.975 71.775 - 69.398 69.891 70.354 70.786 71.181 71.537 71.851 72.119 72.338 72.507 72.622 72.683 72.690 72.640 72.536 72.378 72.168 - 69.642 70.158 70.643 71.096 71.511 71.886 72.216 72.499 72.731 72.910 73.033 73.098 73.105 73.054 72.944 72.778 72.557 - 69.880 70.419 70.927 71.400 71.836 72.230 72.579 72.877 73.122 73.311 73.441 73.511 73.519 73.465 73.351 73.176 72.944 - 70.111 70.673 71.204 71.700 72.157 72.571 72.937 73.252 73.511 73.711 73.849 73.923 73.932 73.876 73.756 73.572 73.328 - 70.336 70.921 71.475 71.994 72.473 72.907 73.293 73.624 73.897 74.109 74.255 74.334 74.344 74.285 74.159 73.966 73.710 - 70.553 71.162 71.740 72.282 72.784 73.240 73.645 73.993 74.282 74.505 74.660 74.744 74.755 74.694 74.561 74.358 74.089 - 70.763 71.396 71.999 72.565 73.090 73.568 73.993 74.360 74.664 74.900 75.064 75.153 75.165 75.101 74.961 74.748 74.465 - 70.965 71.624 72.252 72.842 73.391 73.891 74.338 74.724 75.044 75.293 75.466 75.561 75.575 75.507 75.360 75.136 74.839 - 71.161 71.845 72.498 73.114 73.687 74.211 74.679 75.085 75.422 75.685 75.868 75.969 75.984 75.913 75.758 75.522 75.210 - 71.349 72.059 72.737 73.379 73.977 74.525 75.016 75.443 75.798 76.075 76.269 76.376 76.392 76.318 76.155 75.907 75.578 - 71.529 72.265 72.970 73.638 74.262 74.835 75.350 75.798 76.172 76.464 76.669 76.782 76.800 76.722 76.550 76.289 75.943 - 71.702 72.464 73.195 73.890 74.540 75.139 75.679 76.149 76.543 76.852 77.069 77.188 77.207 77.125 76.944 76.669 76.305 - 71.867 72.655 73.414 74.135 74.813 75.439 76.003 76.498 76.912 77.238 77.467 77.593 77.614 77.527 77.337 77.047 76.665 - 72.023 72.839 73.624 74.374 75.079 75.732 76.323 76.842 77.278 77.622 77.864 77.999 78.020 77.929 77.728 77.422 77.020 - 72.172 73.014 73.827 74.605 75.339 76.020 76.638 77.183 77.642 78.005 78.261 78.403 78.427 78.331 78.118 77.796 77.373 - 72.312 73.181 74.022 74.829 75.592 76.302 76.948 77.519 78.003 78.385 78.657 78.808 78.833 78.731 78.506 78.166 77.721 - 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73.217 74.352 75.475 76.579 77.654 78.689 79.670 80.576 81.381 82.051 82.548 82.834 82.884 82.692 82.276 81.671 80.917 - 73.255 74.415 75.565 76.698 77.805 78.875 79.893 80.839 81.686 82.396 82.927 83.235 83.289 83.081 82.635 81.992 81.196 - 73.283 74.468 75.644 76.805 77.944 79.048 80.105 81.092 81.982 82.735 83.303 83.635 83.693 83.469 82.990 82.305 81.465 - 73.301 74.510 75.712 76.901 78.071 79.209 80.304 81.333 82.268 83.067 83.676 84.035 84.097 83.854 83.338 82.608 81.722 - 73.309 74.541 75.768 76.985 78.185 79.358 80.490 81.561 82.543 83.390 84.044 84.434 84.502 84.236 83.679 82.901 81.967 - 73.307 74.562 75.813 77.057 78.286 79.492 80.662 81.776 82.805 83.705 84.408 84.832 84.906 84.615 84.012 83.182 82.198 - 73.294 74.571 75.847 77.116 78.374 79.613 80.819 81.976 83.055 84.008 84.765 85.229 85.310 84.990 84.336 83.450 82.414 - 73.272 74.570 75.868 77.163 78.449 79.719 80.961 82.161 83.289 84.299 85.115 85.624 85.714 85.359 84.648 83.703 82.613 - 73.240 74.558 75.878 77.197 78.509 79.809 81.087 82.328 83.506 84.576 85.456 86.018 86.117 85.722 84.947 83.939 82.795 - 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40.768 40.976 41.157 41.315 41.451 41.568 41.666 41.745 41.806 41.848 41.873 41.879 41.865 41.832 41.777 41.699 41.594 - 42.041 42.257 42.451 42.624 42.776 42.908 43.020 43.112 43.184 43.237 43.269 43.282 43.275 43.248 43.200 43.132 43.042 - 43.219 43.461 43.681 43.877 44.050 44.200 44.328 44.432 44.514 44.573 44.609 44.623 44.615 44.584 44.532 44.457 44.361 - 44.312 44.587 44.835 45.058 45.253 45.422 45.564 45.679 45.769 45.831 45.869 45.880 45.866 45.827 45.764 45.676 45.564 - 45.377 45.686 45.965 46.213 46.429 46.615 46.771 46.895 46.990 47.054 47.089 47.095 47.072 47.022 46.944 46.839 46.708 - 46.438 46.781 47.088 47.361 47.598 47.799 47.965 48.097 48.194 48.257 48.287 48.285 48.251 48.186 48.091 47.966 47.814 - 47.510 47.885 48.216 48.511 48.766 48.981 49.156 49.291 49.389 49.448 49.471 49.458 49.410 49.328 49.213 49.067 48.890 - 48.589 48.996 49.357 49.669 49.940 50.165 50.346 50.484 50.579 50.632 50.645 50.618 50.554 50.453 50.317 50.146 49.943 - 49.684 50.121 50.506 50.837 51.121 51.355 51.539 51.676 51.766 51.810 51.811 51.768 51.686 51.563 51.403 51.207 50.976 - 50.797 51.262 51.670 52.021 52.311 52.551 52.736 52.869 52.951 52.984 52.970 52.910 52.806 52.660 52.475 52.251 51.991 - 51.931 52.422 52.849 53.213 53.512 53.754 53.938 54.064 54.136 54.155 54.123 54.042 53.916 53.745 53.532 53.280 52.989 - 52.643 53.168 53.621 54.005 54.320 54.565 54.750 54.874 54.939 54.946 54.900 54.801 54.653 54.459 54.219 53.937 53.615 - 53.131 53.697 54.182 54.589 54.921 55.175 55.366 55.489 55.548 55.546 55.486 55.370 55.201 54.982 54.715 54.403 54.047 - 53.484 54.095 54.617 55.052 55.404 55.669 55.866 55.990 56.045 56.034 55.960 55.827 55.637 55.393 55.098 54.754 54.363 - 53.711 54.374 54.937 55.404 55.779 56.058 56.264 56.390 56.442 56.422 56.335 56.184 55.973 55.704 55.379 55.002 54.567 - 54.337 55.037 55.628 56.113 56.499 56.791 56.987 57.108 57.149 57.115 57.010 56.837 56.602 56.305 55.951 55.542 55.071 - 55.742 56.445 57.031 57.508 57.881 58.156 58.332 58.430 58.446 58.385 58.251 58.050 57.784 57.458 57.073 56.627 56.134 - 57.149 57.852 58.432 58.897 59.254 59.509 59.663 59.735 59.724 59.633 59.470 59.237 58.940 58.581 58.165 57.687 57.163 - 58.563 59.262 59.832 60.283 60.621 60.853 60.981 61.026 60.984 60.863 60.667 60.402 60.071 59.679 59.230 58.719 58.163 - 59.985 60.677 61.234 61.666 61.982 62.189 62.289 62.303 62.229 62.075 61.845 61.545 61.180 60.753 60.264 59.725 59.135 - 61.418 62.098 62.639 63.049 63.339 63.517 63.586 63.567 63.460 63.270 63.005 62.669 62.268 61.805 61.280 60.707 60.083 - 62.862 63.527 64.047 64.432 64.693 64.839 64.875 64.820 64.676 64.450 64.147 63.774 63.336 62.837 62.276 61.667 61.008 - 64.319 64.964 65.459 65.814 66.043 66.154 66.154 66.062 65.879 65.614 65.273 64.862 64.385 63.844 63.251 62.605 61.912 - 65.788 66.409 66.874 67.197 67.389 67.463 67.424 67.292 67.070 66.764 66.383 65.932 65.417 64.837 64.206 63.524 62.795 - 67.269 67.861 68.293 68.579 68.732 68.765 68.685 68.511 68.247 67.900 67.477 66.986 66.431 65.812 65.143 64.424 63.659 - 68.762 69.320 69.714 69.959 70.071 70.060 69.936 69.719 69.411 69.021 68.556 68.023 67.428 66.769 66.062 65.306 64.504 - 70.267 70.787 71.138 71.339 71.404 71.348 71.178 70.915 70.562 70.128 69.620 69.045 68.403 67.709 66.963 66.169 65.332 - 71.783 72.258 72.563 72.716 72.733 72.628 72.410 72.099 71.700 71.221 70.669 70.051 69.367 68.633 67.848 67.016 66.142 - 73.309 73.735 73.989 74.090 74.055 73.899 73.631 73.271 72.825 72.299 71.702 71.041 70.315 69.540 68.716 67.847 66.936 - 74.843 75.215 75.414 75.460 75.371 75.162 74.842 74.432 73.936 73.363 72.721 72.015 71.248 70.432 69.568 68.661 67.714 - 76.384 76.698 76.838 76.825 76.679 76.414 76.041 75.579 75.034 74.413 73.724 72.971 72.164 71.308 70.405 69.460 68.476 - 77.932 78.182 78.259 78.185 77.979 77.652 77.229 76.714 76.118 75.448 74.713 73.915 73.066 72.168 71.226 70.243 69.223 - 79.484 79.665 79.676 79.538 79.270 78.884 78.404 77.835 77.188 76.469 75.688 74.844 73.952 73.014 72.032 71.012 69.956 - 81.039 81.147 81.088 80.883 80.551 80.104 79.567 78.943 78.244 77.476 76.647 75.758 74.824 73.844 72.824 71.766 70.674 - 82.595 82.627 82.494 82.219 81.821 81.313 80.717 80.038 79.285 78.468 77.588 76.658 75.681 74.660 73.601 72.506 71.378 - 84.151 84.102 83.892 83.546 83.081 82.509 81.853 81.118 80.313 79.445 78.518 77.543 76.523 75.462 74.364 73.232 72.069 - 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99.308 98.309 97.237 96.103 94.915 93.687 92.420 91.118 89.780 88.418 87.032 85.623 84.193 82.744 81.277 79.794 78.295 - 100.749 99.649 98.487 97.274 96.014 94.720 93.392 92.035 90.647 89.238 87.807 86.357 84.888 83.403 81.902 80.386 78.856 - 102.171 100.970 99.719 98.422 97.095 95.736 94.349 92.935 91.499 90.044 88.570 87.079 85.572 84.051 82.515 80.967 79.407 - 103.574 102.273 100.933 99.558 98.159 96.736 95.291 93.822 92.337 90.836 89.319 87.788 86.244 84.687 83.118 81.538 79.947 - 104.955 103.555 102.128 100.675 99.207 97.720 96.217 94.695 93.161 91.614 90.056 88.485 86.904 85.312 83.710 82.099 80.477 - 106.315 104.817 103.304 101.774 100.237 98.687 97.127 95.553 93.971 92.380 90.779 89.170 87.553 85.926 84.292 82.649 80.998 - 107.653 106.059 104.460 102.855 101.249 99.639 98.022 96.396 94.767 93.132 91.491 89.844 88.190 86.530 84.863 83.190 81.510 - 108.968 107.279 105.597 103.917 102.245 100.573 98.899 97.225 95.549 93.871 92.190 90.505 88.816 87.123 85.424 83.721 82.012 - 110.260 108.478 106.709 104.961 103.223 101.492 99.763 98.040 96.318 94.598 92.877 91.155 89.431 87.705 85.976 84.243 82.506 - 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62.136 63.944 65.811 67.720 69.654 71.593 73.520 75.414 77.259 79.039 80.739 82.349 83.859 85.262 86.553 87.731 88.793 - 61.820 63.696 65.636 67.623 69.635 71.654 73.659 75.629 77.545 79.392 81.154 82.818 84.376 85.821 87.147 88.353 89.439 - 61.493 63.441 65.456 67.522 69.616 71.716 73.801 75.849 77.840 79.755 81.579 83.299 84.905 86.391 87.753 88.987 90.094 - 61.157 63.177 65.270 67.417 69.595 71.780 73.948 76.076 78.142 80.127 82.014 83.791 85.446 86.974 88.369 89.631 90.759 - 60.810 62.904 65.078 67.308 69.573 71.845 74.098 76.309 78.453 80.510 82.462 84.295 85.999 87.568 88.997 90.286 91.435 - 60.452 62.623 64.878 67.196 69.549 71.911 74.254 76.549 78.773 80.903 82.920 84.811 86.565 88.175 89.637 90.952 92.120 - 60.083 62.332 64.672 67.079 69.525 71.980 74.413 76.797 79.102 81.307 83.392 85.341 87.144 88.795 90.290 91.629 92.816 - 59.702 62.030 64.458 66.957 69.499 72.050 74.578 77.052 79.442 81.723 83.876 85.884 87.736 89.427 90.954 92.318 93.522 - 59.309 61.719 64.236 66.831 69.471 72.122 74.748 77.315 79.792 82.152 84.373 86.441 88.343 90.074 91.632 93.019 94.238 - 58.902 61.397 64.006 66.699 69.442 72.196 74.923 77.586 80.152 82.593 84.885 87.012 88.963 90.734 92.322 93.731 94.965 - 58.482 61.063 63.767 66.563 69.411 72.272 75.104 77.867 80.525 83.047 85.411 87.598 89.599 91.408 93.026 94.455 95.703 - 58.047 60.716 63.519 66.420 69.379 72.351 75.291 78.157 80.909 83.515 85.952 88.200 90.249 92.097 93.742 95.191 96.451 - 57.597 60.358 63.262 66.272 69.344 72.432 75.484 78.456 81.306 83.999 86.508 88.817 90.916 92.800 94.473 95.940 97.210 - 57.132 59.985 62.994 66.117 69.308 72.515 75.685 78.767 81.716 84.497 87.081 89.451 91.598 93.519 95.217 96.701 97.980 - 56.650 59.599 62.715 65.956 69.270 72.601 75.892 79.088 82.141 85.011 87.671 90.103 92.297 94.253 95.976 97.474 98.760 - 56.151 59.198 62.425 65.787 69.230 72.691 76.108 79.421 82.580 85.542 88.279 90.772 93.013 95.003 96.749 98.260 99.551 - 55.634 58.781 62.122 65.611 69.187 72.783 76.331 79.767 83.035 86.091 88.905 91.460 93.747 95.770 97.536 99.059 100.353 - 55.098 58.347 61.807 65.427 69.142 72.878 76.563 80.126 83.506 86.659 89.551 92.166 94.499 96.552 98.338 99.870 101.166 - 54.541 57.895 61.478 65.234 69.094 72.977 76.804 80.498 83.995 87.245 90.217 92.893 95.269 97.352 99.154 100.694 101.989 - 53.964 57.426 61.135 65.033 69.043 73.080 77.055 80.886 84.502 87.852 90.904 93.639 96.058 98.169 99.986 101.530 102.823 - 53.364 56.936 60.776 64.821 68.989 73.187 77.317 81.289 85.029 88.481 91.612 94.407 96.867 99.003 100.833 102.380 103.667 - 52.741 56.425 60.400 64.599 68.932 73.298 77.589 81.709 85.576 89.132 92.343 95.197 97.696 99.855 101.695 103.242 104.521 - 52.093 55.893 60.007 64.366 68.872 73.414 77.874 82.147 86.144 89.806 93.098 96.009 98.545 100.724 102.572 104.117 105.386 - 51.420 55.336 59.595 64.120 68.808 73.534 78.172 82.604 86.736 90.505 93.878 96.844 99.415 101.612 103.465 105.004 106.261 - 50.719 54.755 59.163 63.862 68.739 73.660 78.483 83.081 87.352 91.231 94.683 97.703 100.307 102.519 104.373 105.904 107.146 - 49.989 54.148 58.710 63.590 68.667 73.792 78.809 83.580 87.994 91.983 95.515 98.587 101.220 103.444 105.297 106.817 108.041 - 49.229 53.512 58.233 63.303 68.590 73.929 79.152 84.102 88.664 92.765 96.375 99.497 102.155 104.388 106.236 107.742 108.945 - 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165.813 165.851 165.899 165.958 166.028 166.107 166.196 166.295 166.403 166.519 166.641 166.774 166.914 167.062 167.216 167.377 167.545 - 165.182 165.230 165.289 165.361 165.445 165.541 165.648 165.763 165.891 166.030 166.178 166.335 166.502 166.677 166.859 167.049 167.246 - 164.569 164.625 164.695 164.779 164.877 164.986 165.109 165.246 165.395 165.555 165.727 165.909 166.102 166.305 166.516 166.736 166.964 - 163.965 164.029 164.108 164.204 164.312 164.438 164.579 164.734 164.903 165.085 165.281 165.489 165.708 165.939 166.180 166.430 166.689 - 163.366 163.437 163.525 163.629 163.753 163.893 164.050 164.223 164.412 164.617 164.836 165.069 165.316 165.575 165.845 166.127 166.418 - 162.770 162.847 162.942 163.058 163.193 163.348 163.521 163.712 163.921 164.148 164.390 164.649 164.923 165.210 165.511 165.824 166.148 - 162.175 162.258 162.361 162.486 162.633 162.802 162.990 163.199 163.428 163.676 163.943 164.227 164.528 164.844 165.176 165.520 165.877 - 161.581 161.667 161.779 161.914 162.072 162.253 162.458 162.684 162.933 163.202 163.492 163.802 164.130 164.476 164.838 165.215 165.606 - 160.987 161.078 161.196 161.340 161.509 161.703 161.922 162.166 162.434 162.725 163.038 163.373 163.729 164.104 164.497 164.907 165.331 - 160.574 160.666 160.787 160.937 161.114 161.318 161.550 161.808 162.093 162.403 162.738 163.096 163.477 163.880 164.302 164.743 165.201 - 160.252 160.343 160.466 160.620 160.803 161.017 161.260 161.532 161.833 162.161 162.517 162.898 163.305 163.735 164.187 164.660 165.152 - 159.985 160.073 160.197 160.354 160.543 160.764 161.018 161.303 161.619 161.966 162.342 162.747 163.179 163.637 164.120 164.625 165.152 - 159.768 159.852 159.975 160.133 160.327 160.556 160.819 161.117 161.449 161.813 162.210 162.638 163.096 163.582 164.096 164.635 165.199 - 159.404 159.486 159.610 159.772 159.972 160.210 160.484 160.796 161.143 161.526 161.944 162.396 162.879 163.394 163.938 164.511 165.109 - 158.756 158.842 158.972 159.141 159.350 159.599 159.887 160.213 160.578 160.981 161.420 161.895 162.405 162.947 163.521 164.124 164.755 - 158.114 158.204 158.339 158.515 158.732 158.991 159.292 159.633 160.015 160.437 160.898 161.396 161.931 162.502 163.105 163.741 164.405 - 157.475 157.570 157.709 157.891 158.117 158.386 158.698 159.054 159.452 159.893 160.375 160.897 161.458 162.057 162.691 163.358 164.056 - 156.842 156.940 157.082 157.269 157.502 157.781 158.105 158.474 158.889 159.348 159.851 160.397 160.984 161.611 162.276 162.976 163.709 - 156.214 156.312 156.457 156.649 156.888 157.176 157.511 157.894 158.324 158.802 159.326 159.895 160.508 161.164 161.859 162.593 163.361 - 155.587 155.686 155.833 156.029 156.275 156.570 156.916 157.311 157.758 158.253 158.798 159.391 160.030 160.714 161.441 162.207 163.012 - 154.963 155.062 155.210 155.410 155.660 155.963 156.319 156.727 157.188 157.702 158.267 158.883 159.548 160.261 161.019 161.820 162.660 - 154.341 154.439 154.588 154.790 155.045 155.355 155.720 156.141 156.616 157.147 157.733 158.372 159.063 159.804 160.594 161.429 162.307 - 153.720 153.816 153.965 154.169 154.429 154.746 155.120 155.551 156.041 156.589 157.194 157.856 158.573 159.344 160.165 161.035 161.950 - 153.100 153.194 153.343 153.548 153.812 154.134 154.516 154.959 155.462 156.027 156.651 157.336 158.079 158.878 159.732 160.637 161.590 - 152.482 152.572 152.720 152.927 153.193 153.520 153.910 154.363 154.880 155.460 156.104 156.811 157.580 158.408 159.294 160.235 161.226 - 151.864 151.951 152.097 152.304 152.572 152.904 153.301 153.764 154.293 154.889 155.552 156.281 157.075 157.933 158.851 159.827 160.857 - 151.247 151.330 151.473 151.679 151.950 152.285 152.689 153.161 153.702 154.313 154.994 155.745 156.565 157.452 158.402 159.415 160.484 - 150.630 150.709 150.849 151.054 151.325 151.664 152.073 152.554 153.106 153.732 154.432 155.204 156.049 156.964 157.948 158.997 160.106 - 150.014 150.087 150.224 150.427 150.699 151.040 151.455 151.943 152.507 153.147 153.863 154.657 155.527 156.471 157.487 158.573 159.722 - 149.399 149.466 149.598 149.799 150.070 150.414 150.832 151.328 151.902 152.555 153.289 154.104 154.998 155.971 157.020 158.142 159.333 - 148.784 148.844 148.972 149.169 149.439 149.784 150.207 150.709 151.292 151.959 152.709 153.544 154.463 155.465 156.547 157.706 158.938 - 148.169 148.223 148.345 148.538 148.807 149.152 149.578 150.085 150.678 151.357 152.123 152.978 153.921 154.951 156.066 157.262 158.536 - 147.555 147.601 147.717 147.906 148.172 148.517 148.945 149.458 150.059 150.749 151.531 152.405 153.372 154.430 155.578 156.812 158.127 - 146.942 146.979 147.088 147.272 147.535 147.879 148.308 148.826 149.434 150.136 150.932 151.826 152.816 153.902 155.082 156.354 157.712 - 146.328 146.357 146.458 146.637 146.895 147.238 147.668 148.189 148.804 149.516 150.327 151.239 152.252 153.366 154.579 155.888 157.290 - 145.716 145.734 145.828 146.000 146.254 146.594 147.025 147.548 148.170 148.891 149.715 150.645 151.680 152.821 154.067 155.415 156.859 - 145.103 145.112 145.197 145.362 145.611 145.948 146.377 146.903 147.530 148.260 149.097 150.043 151.101 152.269 153.547 154.933 156.421 - 144.492 144.490 144.565 144.722 144.965 145.298 145.726 146.253 146.884 147.622 148.472 149.434 150.513 151.708 153.019 154.443 155.975 - 143.880 143.867 143.933 144.081 144.317 144.646 145.072 145.599 146.233 146.979 147.839 148.818 149.917 151.139 152.481 153.943 155.520 - 143.270 143.245 143.300 143.439 143.668 143.991 144.413 144.940 145.577 146.329 147.200 148.194 149.313 150.560 151.935 153.435 155.057 - 142.660 142.623 142.667 142.796 143.016 143.333 143.752 144.277 144.916 145.673 146.553 147.561 148.700 149.973 151.379 152.917 154.584 - 142.051 142.001 142.033 142.152 142.363 142.673 143.086 143.610 144.249 145.011 145.900 146.921 148.079 149.376 150.813 152.390 154.102 - 141.442 141.379 141.398 141.506 141.708 142.009 142.417 142.938 143.577 144.342 145.239 146.273 147.448 148.769 150.237 151.852 153.610 - 140.834 140.757 140.764 140.859 141.051 141.344 141.745 142.261 142.900 143.667 144.571 145.616 146.809 148.153 149.651 151.304 153.107 - 140.227 140.136 140.129 140.212 140.392 140.676 141.069 141.581 142.217 142.986 143.895 144.951 146.160 147.527 149.055 150.745 152.594 - 139.621 139.515 139.493 139.564 139.732 140.005 140.390 140.896 141.529 142.298 143.212 144.277 145.501 146.890 148.447 150.175 152.070 - 139.016 138.894 138.858 138.915 139.070 139.332 139.708 140.207 140.836 141.604 142.521 143.595 144.833 146.243 147.829 149.593 151.535 - 138.412 138.274 138.223 138.265 138.407 138.657 139.023 139.513 140.137 140.904 141.823 142.904 144.156 145.585 147.199 149.000 150.988 - 137.809 137.655 137.587 137.614 137.742 137.980 138.334 138.816 139.434 140.197 141.118 142.205 143.468 144.917 146.558 148.394 150.428 - 137.208 137.036 136.952 136.963 137.076 137.300 137.643 138.114 138.725 139.484 140.405 141.497 142.771 144.237 145.904 147.776 149.856 - 136.607 136.418 136.317 136.312 136.409 136.619 136.948 137.409 138.011 138.765 139.684 140.780 142.063 143.547 145.238 147.146 149.271 - 136.008 135.800 135.682 135.660 135.741 135.935 136.251 136.700 137.292 138.040 138.956 140.054 141.346 142.844 144.560 146.501 148.672 - 135.410 135.184 135.048 135.008 135.072 135.250 135.551 135.987 136.568 137.308 138.220 139.319 140.618 142.130 143.869 145.844 148.060 - 134.813 134.569 134.414 134.355 134.402 134.563 134.849 135.270 135.839 136.570 137.477 138.575 139.879 141.404 143.165 145.172 147.432 - 134.218 133.954 133.780 133.703 133.731 133.875 134.144 134.550 135.106 135.827 136.727 137.822 139.130 140.666 142.447 144.485 146.790 - 133.624 133.341 133.147 133.050 133.060 133.185 133.436 133.826 134.368 135.077 135.968 137.060 138.370 139.916 141.716 143.784 146.132 - 133.034 132.729 132.515 132.398 132.388 132.493 132.726 133.099 133.625 134.321 135.203 136.289 137.600 139.154 140.971 143.068 145.458 - 132.444 132.118 131.883 131.746 131.715 131.801 132.014 132.369 132.878 133.559 134.430 135.509 136.818 138.379 140.211 142.336 144.768 - 131.855 131.508 131.252 131.094 131.042 131.107 131.300 131.635 132.127 132.792 133.650 134.721 136.026 137.591 139.437 141.587 144.060 - 131.267 130.900 130.623 130.443 130.369 130.412 130.584 130.899 131.371 132.019 132.863 133.923 135.223 136.790 138.648 140.822 143.334 - 130.682 130.293 129.994 129.792 129.696 129.717 129.867 130.160 130.612 131.241 132.068 133.116 134.410 135.976 137.844 140.041 142.590 - 130.098 129.687 129.366 129.141 129.022 129.020 129.147 129.418 129.848 130.458 131.267 132.300 133.585 135.149 137.025 139.241 141.827 - 129.517 129.083 128.739 128.492 128.349 128.323 128.427 128.674 129.081 129.669 130.458 131.476 132.749 134.309 136.190 138.425 141.045 - 128.937 128.481 128.114 127.843 127.676 127.626 127.704 127.927 128.310 128.875 129.643 130.643 131.903 133.456 135.339 137.589 140.242 - 128.359 127.881 127.490 127.195 127.003 126.928 126.981 127.178 127.536 128.076 128.822 129.801 131.045 132.589 134.473 136.735 139.418 - 127.784 127.282 126.868 126.548 126.331 126.230 126.256 126.427 126.758 127.272 127.994 128.951 130.177 131.709 133.590 135.863 138.573 - 127.210 126.686 126.247 125.902 125.659 125.531 125.531 125.673 125.977 126.464 127.159 128.092 129.298 130.816 132.690 134.970 137.705 - 126.639 126.091 125.627 125.257 124.988 124.833 124.805 124.919 125.194 125.652 126.319 127.225 128.408 129.909 131.774 134.058 136.815 - 126.070 125.498 125.010 124.613 124.318 124.135 124.078 124.162 124.407 124.835 125.472 126.350 127.508 128.988 130.842 133.126 135.901 - 125.503 124.907 124.394 123.971 123.648 123.437 123.350 123.404 123.618 124.014 124.620 125.468 126.597 128.054 129.892 132.173 134.963 - 124.939 124.318 123.780 123.330 122.980 122.740 122.623 122.645 122.826 123.189 123.762 124.577 125.676 127.106 128.926 131.199 134.000 - 124.377 123.732 123.167 122.691 122.312 122.043 121.895 121.885 122.033 122.361 122.898 123.679 124.745 126.146 127.942 130.204 133.011 - 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164.067 163.779 163.539 163.341 163.179 163.052 162.958 162.896 162.863 162.861 162.888 162.945 163.031 163.149 163.299 163.485 163.711 - 161.588 161.317 161.086 160.894 160.738 160.618 160.532 160.479 160.459 160.470 160.513 160.586 160.690 160.823 160.986 161.180 161.404 - 159.255 158.975 158.738 158.543 158.390 158.276 158.201 158.163 158.162 158.196 158.265 158.367 158.502 158.668 158.865 159.092 159.349 - 157.058 156.764 156.519 156.323 156.175 156.071 156.012 155.995 156.019 156.083 156.185 156.323 156.497 156.705 156.946 157.218 157.522 - 154.897 154.593 154.346 154.155 154.017 153.930 153.893 153.903 153.959 154.059 154.200 154.381 154.600 154.856 155.146 155.470 155.826 - 152.738 152.430 152.188 152.008 151.888 151.826 151.818 151.862 151.956 152.098 152.284 152.513 152.782 153.089 153.433 153.812 154.223 - 150.563 150.261 150.031 149.871 149.777 149.746 149.775 149.860 149.998 150.187 150.423 150.704 151.027 151.390 151.791 152.227 152.697 - 148.367 148.079 147.871 147.740 147.680 147.688 147.760 147.892 148.080 148.321 148.611 148.948 149.329 149.751 150.210 150.706 151.235 - 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80.645 83.603 86.462 89.234 91.928 94.554 97.120 99.631 102.095 104.515 106.898 109.246 111.564 113.854 116.120 118.363 120.587 - 79.789 82.784 85.678 88.483 91.210 93.868 96.464 99.005 101.497 103.945 106.354 108.728 111.071 113.385 115.674 117.941 120.186 - 78.963 81.991 84.918 87.756 90.515 93.203 95.828 98.397 100.916 103.391 105.826 108.224 110.591 112.929 115.241 117.529 119.796 - 78.165 81.225 84.183 87.052 89.840 92.557 95.210 97.806 100.352 102.852 105.311 107.734 110.124 112.485 114.818 117.128 119.417 - 77.393 80.483 83.471 86.369 89.185 91.929 94.610 97.232 99.803 102.328 104.811 107.257 109.670 112.052 114.408 116.738 119.047 - 76.647 79.766 82.781 85.706 88.550 91.320 94.026 96.674 99.269 101.818 104.324 106.793 109.227 111.631 114.007 116.359 118.688 - 75.926 79.070 82.113 85.064 87.933 90.729 93.459 96.131 98.750 101.321 103.850 106.340 108.796 111.221 113.617 115.989 118.337 - 75.228 78.397 81.464 84.440 87.333 90.153 92.908 95.602 98.244 100.837 103.388 105.899 108.376 110.821 113.237 115.628 117.996 - 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137.477 138.020 138.558 139.090 139.614 140.128 140.631 141.121 141.595 142.053 142.492 142.912 143.310 143.685 144.036 144.362 144.662 144.934 145.178 145.393 145.578 145.731 145.853 - 137.513 138.085 138.653 139.214 139.768 140.312 140.843 141.361 141.863 142.348 142.812 143.256 143.677 144.074 144.445 144.790 145.107 145.395 145.653 145.881 146.077 146.241 146.372 - 137.543 138.144 138.742 139.334 139.918 140.492 141.053 141.600 142.130 142.641 143.131 143.599 144.043 144.462 144.853 145.217 145.550 145.854 146.126 146.366 146.574 146.747 146.887 - 137.566 138.199 138.828 139.451 140.066 140.670 141.261 141.837 142.395 142.933 143.449 143.942 144.409 144.849 145.261 145.642 145.993 146.312 146.597 146.850 147.068 147.250 147.398 - 137.586 138.250 138.911 139.565 140.212 140.847 141.468 142.074 142.660 143.225 143.768 144.285 144.775 145.237 145.668 146.068 146.435 146.769 147.068 147.332 147.560 147.752 147.906 - 137.601 138.297 138.990 139.678 140.356 141.023 141.675 142.310 142.925 143.518 144.087 144.628 145.142 145.625 146.076 146.494 146.878 147.226 147.538 147.813 148.051 148.251 148.413 - 137.613 138.342 139.068 139.788 140.499 141.198 141.881 142.547 143.191 143.812 144.407 144.973 145.510 146.014 146.485 146.921 147.321 147.684 148.009 148.295 148.542 148.750 148.918 - 137.622 138.385 139.144 139.898 140.642 141.373 142.088 142.784 143.458 144.106 144.728 145.319 145.879 146.405 146.896 147.350 147.765 148.142 148.480 148.777 149.033 149.248 149.422 - 137.628 138.425 139.219 140.006 140.784 141.548 142.295 143.022 143.726 144.403 145.051 145.667 146.250 146.798 147.308 147.779 148.211 148.602 148.952 149.259 149.524 149.746 149.926 - 137.632 138.464 139.292 140.115 140.926 141.724 142.503 143.262 143.995 144.701 145.376 146.017 146.624 147.192 147.722 148.211 148.659 149.063 149.425 149.742 150.015 150.244 150.429 - 137.634 138.501 139.365 140.222 141.069 141.900 142.713 143.502 144.266 145.001 145.703 146.370 146.999 147.589 148.138 148.645 149.108 149.526 149.899 150.226 150.507 150.743 150.932 - 137.633 138.536 139.436 140.330 141.211 142.077 142.923 143.745 144.539 145.303 146.032 146.724 147.377 147.989 148.557 149.081 149.559 149.990 150.375 150.711 151.000 151.241 151.435 - 137.631 138.571 139.507 140.437 141.354 142.255 143.135 143.989 144.815 145.607 146.364 147.082 147.758 148.391 148.978 149.519 150.012 150.457 150.852 151.198 151.494 151.741 151.938 - 137.627 138.604 139.578 140.544 141.498 142.435 143.349 144.236 145.093 145.915 146.699 147.442 148.142 148.796 149.402 149.960 150.468 150.925 151.331 151.686 151.989 152.241 152.442 - 137.621 138.636 139.648 140.652 141.643 142.615 143.564 144.485 145.373 146.224 147.036 147.805 148.528 149.204 149.829 150.404 150.926 151.396 151.812 152.175 152.485 152.742 152.946 - 137.614 138.667 139.718 140.760 141.789 142.797 143.781 144.736 145.656 146.537 147.377 148.171 148.918 149.614 150.259 150.850 151.387 151.869 152.295 152.666 152.982 153.244 153.451 - 137.605 138.697 139.787 140.869 141.935 142.981 144.001 144.989 145.941 146.853 147.721 148.541 149.311 150.029 150.692 151.299 151.850 152.344 152.780 153.159 153.481 153.746 153.956 - 137.594 138.727 139.857 140.978 142.083 143.166 144.222 145.245 146.230 147.172 148.068 148.914 149.708 150.446 151.128 151.751 152.316 152.821 153.267 153.654 153.981 154.250 154.462 - 137.582 138.755 139.926 141.087 142.232 143.354 144.446 145.504 146.522 147.495 148.419 149.291 150.108 150.867 151.567 152.207 152.785 153.301 153.756 154.150 154.483 154.755 154.968 - 137.568 138.783 139.995 141.197 142.382 143.543 144.673 145.766 146.817 147.821 148.773 149.671 150.511 151.291 152.010 152.665 153.257 153.784 154.248 154.648 154.986 155.261 155.476 - 137.553 138.810 140.065 141.308 142.534 143.734 144.902 146.031 147.115 148.150 149.131 150.055 150.919 151.719 152.456 153.126 153.731 154.269 154.742 155.148 155.490 155.768 155.984 - 137.536 138.837 140.134 141.420 142.687 143.927 145.133 146.299 147.417 148.483 149.493 150.443 151.330 152.151 152.905 153.591 154.209 154.757 155.238 155.650 155.996 156.277 156.493 - 137.518 138.862 140.204 141.533 142.842 144.123 145.368 146.570 147.722 148.821 149.859 150.835 151.745 152.587 153.359 154.060 154.689 155.248 155.736 156.154 156.504 156.786 157.003 - 137.498 138.887 140.273 141.647 142.999 144.321 145.605 146.844 148.032 149.162 150.230 151.232 152.165 153.026 153.816 154.531 155.173 155.741 156.237 156.660 157.013 157.297 157.513 - 137.477 138.912 140.343 141.762 143.158 144.522 145.846 147.122 148.345 149.507 150.604 151.632 152.588 153.470 154.276 155.006 155.660 156.238 156.740 157.168 157.524 157.809 158.025 - 137.454 138.935 140.413 141.878 143.318 144.725 146.090 147.404 148.662 149.856 150.982 152.037 153.016 153.918 154.741 155.485 156.150 156.737 157.246 157.678 158.037 158.322 158.537 - 137.429 138.958 140.484 141.995 143.480 144.931 146.337 147.690 148.983 150.210 151.366 152.446 153.448 154.369 155.209 155.967 156.644 157.239 157.754 158.191 158.551 158.837 159.050 - 137.403 138.981 140.555 142.113 143.645 145.139 146.587 147.979 149.308 150.568 151.753 152.860 153.884 154.826 155.682 156.453 157.140 157.743 158.264 158.705 159.067 159.352 159.564 - 137.375 139.003 140.626 142.233 143.811 145.351 146.841 148.273 149.638 150.931 152.146 153.278 154.326 155.286 156.158 156.943 157.640 158.251 158.777 159.221 159.584 159.869 160.079 - 137.346 139.024 140.697 142.353 143.980 145.565 147.098 148.570 149.973 151.299 152.543 153.701 154.771 155.751 156.639 157.436 158.143 158.762 159.293 159.739 160.103 160.387 160.594 - 137.315 139.044 140.769 142.476 144.151 145.783 147.360 148.872 150.312 151.671 152.945 154.130 155.222 156.220 157.124 157.934 158.650 159.275 159.811 160.260 160.624 160.907 161.111 - 137.282 139.064 140.842 142.600 144.325 146.004 147.625 149.179 150.656 152.049 153.352 154.563 155.677 156.694 157.613 158.435 159.160 159.792 160.332 160.782 161.146 161.427 161.628 - 137.247 139.083 140.914 142.725 144.501 146.228 147.894 149.490 151.004 152.431 153.765 155.001 156.137 157.172 158.106 158.939 159.674 160.311 160.855 161.307 161.670 161.949 162.146 - 137.211 139.102 140.988 142.852 144.679 146.455 148.168 149.805 151.358 152.819 154.183 155.444 156.602 157.656 158.604 159.448 160.191 160.834 161.380 161.833 162.196 162.472 162.665 - 137.172 139.120 141.061 142.980 144.860 146.687 148.446 150.126 151.717 153.212 154.606 155.893 157.073 158.143 159.106 159.961 160.711 161.359 161.909 162.362 162.723 162.996 163.184 - 137.132 139.137 141.136 143.111 145.045 146.922 148.728 150.451 152.082 153.611 155.034 156.347 157.548 158.636 159.612 160.478 161.235 161.888 162.439 162.893 163.252 163.521 163.704 - 137.089 139.153 141.211 143.243 145.232 147.161 149.015 150.782 152.452 154.016 155.469 156.807 158.029 159.134 160.123 160.998 161.763 162.419 162.972 163.425 163.782 164.048 164.225 - 137.044 139.169 141.286 143.377 145.422 147.403 149.306 151.118 152.827 154.426 155.909 157.273 158.515 159.637 160.638 161.523 162.294 162.954 163.508 163.960 164.314 164.575 164.747 - 136.997 139.183 141.362 143.513 145.615 147.650 149.603 151.459 153.209 154.842 156.355 157.744 159.007 160.144 161.158 162.052 162.828 163.492 164.046 164.496 164.847 165.103 165.269 - 136.948 139.197 141.439 143.651 145.811 147.902 149.905 151.807 153.596 155.265 156.807 158.221 159.504 160.657 161.683 162.585 163.366 164.032 164.587 165.035 165.382 165.633 165.792 - 136.896 139.210 141.516 143.791 146.011 148.157 150.212 152.160 153.990 155.694 157.266 158.704 160.006 161.175 162.212 163.122 163.908 164.575 165.130 165.576 165.918 166.163 166.315 - 136.842 139.223 141.594 143.933 146.214 148.417 150.524 152.519 154.390 156.129 157.731 159.193 160.515 161.698 162.746 163.663 164.453 165.122 165.675 166.118 166.456 166.695 166.839 - 136.785 139.234 141.673 144.077 146.421 148.682 150.842 152.884 154.796 156.571 158.202 159.688 161.029 162.226 163.285 164.208 165.002 165.671 166.223 166.662 166.995 167.227 167.363 - 136.726 139.244 141.753 144.224 146.632 148.952 151.166 153.255 155.209 157.019 158.680 160.189 161.549 162.760 163.828 164.757 165.554 166.224 166.773 167.208 167.535 167.760 167.888 - 136.664 139.253 141.833 144.373 146.846 149.227 151.495 153.634 155.629 157.475 159.164 160.697 162.075 163.299 164.376 165.311 166.110 166.779 167.326 167.756 168.077 168.294 168.414 - 136.598 139.261 141.914 144.525 147.065 149.508 151.831 154.019 156.057 157.937 159.656 161.212 162.606 163.844 164.929 165.869 166.669 167.337 167.881 168.306 168.620 168.829 168.939 - 136.530 139.269 141.996 144.680 147.288 149.794 152.174 154.411 156.491 158.407 160.154 161.733 163.144 164.394 165.487 166.430 167.232 167.898 168.438 168.857 169.164 169.365 169.466 - 136.458 139.274 142.079 144.837 147.515 150.085 152.523 154.810 156.933 158.884 160.660 162.260 163.689 164.949 166.050 166.996 167.798 168.462 168.997 169.411 169.710 169.901 169.992 - 136.383 139.279 142.163 144.997 147.747 150.383 152.879 155.217 157.383 159.369 161.173 162.795 164.239 165.511 166.617 167.567 168.368 169.029 169.559 169.966 170.256 170.439 170.519 - 136.305 139.283 142.247 145.160 147.983 150.686 153.242 155.631 157.840 159.862 161.693 163.337 164.796 166.077 167.189 168.141 168.941 169.599 170.123 170.522 170.804 170.976 171.046 - 136.223 139.285 142.333 145.326 148.225 150.996 153.612 156.053 158.306 160.362 162.222 163.885 165.359 166.650 167.767 168.720 169.518 170.171 170.689 171.080 171.353 171.515 171.573 - 136.137 139.285 142.420 145.495 148.471 151.312 153.990 156.484 158.780 160.871 162.757 164.441 165.928 167.228 168.349 169.302 170.098 170.746 171.257 171.640 171.903 172.054 172.100 - 136.047 139.284 142.507 145.668 148.723 151.636 154.376 156.922 159.262 161.388 163.301 165.004 166.505 167.812 168.936 169.889 170.681 171.324 171.827 172.201 172.453 172.593 172.628 - 135.952 139.282 142.596 145.844 148.981 151.966 154.770 157.370 159.753 161.914 163.853 165.575 167.087 168.401 169.528 170.480 171.268 171.904 172.400 172.763 173.005 173.133 173.155 - 135.854 139.278 142.686 146.024 149.244 152.304 155.172 157.827 160.254 162.449 164.413 166.152 167.677 168.997 170.125 171.075 171.858 172.488 172.974 173.327 173.558 173.674 173.683 - 135.750 139.272 142.777 146.208 149.513 152.650 155.583 158.292 160.763 162.992 164.981 166.738 168.273 169.598 170.727 171.674 172.452 173.073 173.550 173.893 174.111 174.215 174.211 - 135.642 139.264 142.869 146.396 149.789 153.003 156.004 158.768 161.283 163.545 165.558 167.331 168.875 170.205 171.334 172.277 173.049 173.662 174.128 174.459 174.666 174.756 174.738 - 135.528 139.255 142.963 146.588 150.071 153.365 156.433 159.253 161.811 164.107 166.144 167.932 169.485 170.818 171.946 172.884 173.649 174.252 174.708 175.027 175.221 175.297 175.266 - 135.409 139.243 143.057 146.784 150.360 153.735 156.873 159.748 162.351 164.678 166.738 168.541 170.102 171.436 172.562 173.496 174.252 174.845 175.290 175.596 175.776 175.839 175.793 - 135.285 139.229 143.154 146.985 150.656 154.115 157.322 160.254 162.900 165.260 167.341 169.157 170.725 172.061 173.184 174.111 174.858 175.441 175.873 176.167 176.333 176.381 176.320 - 135.154 139.213 143.251 147.190 150.960 154.504 157.782 160.771 163.460 165.851 167.953 169.782 171.355 172.692 173.810 174.730 175.468 176.039 176.458 176.738 176.890 176.923 176.847 - 135.017 139.194 143.350 147.401 151.271 154.903 158.253 161.299 164.031 166.452 168.575 170.415 171.993 173.328 174.442 175.353 176.080 176.639 177.045 177.310 177.447 177.465 177.374 - 134.873 139.173 143.451 147.617 151.591 155.312 158.735 161.838 164.613 167.064 169.206 171.056 172.637 173.970 175.078 175.980 176.695 177.241 177.633 177.884 178.005 178.008 177.900 - 134.723 139.149 143.553 147.838 151.919 155.731 159.229 162.390 165.207 167.687 169.846 171.706 173.288 174.618 175.719 176.610 177.314 177.846 178.223 178.458 178.564 178.550 178.426 - 134.564 139.123 143.657 148.065 152.257 156.162 159.735 162.953 165.812 168.320 170.496 172.363 173.947 175.272 176.364 177.245 177.935 178.452 178.814 179.033 179.122 179.092 178.952 - 134.398 139.093 143.763 148.299 152.604 156.604 160.254 163.530 166.430 168.965 171.156 173.030 174.613 175.932 177.014 177.883 178.559 179.061 179.406 179.609 179.681 179.634 179.477 - 134.223 139.059 143.871 148.539 152.960 157.059 160.786 164.119 167.059 169.620 171.826 173.704 175.285 176.598 177.669 178.525 179.185 179.672 -180.000 -179.814 -179.759 -179.824 -179.999 - 134.040 139.023 143.980 148.785 153.327 157.526 161.331 164.722 167.702 170.288 172.506 174.388 175.965 177.269 178.329 179.170 179.815 -179.716 -179.405 -179.237 -179.200 -179.282 -179.475 - 133.847 138.982 144.092 149.039 153.705 158.006 161.890 165.339 168.358 170.967 173.196 175.079 176.652 177.946 178.993 179.818 -179.553 -179.102 -178.809 -178.659 -178.640 -178.741 -178.951 - 133.644 138.938 144.206 149.300 154.095 158.500 162.465 165.971 169.027 171.657 173.896 175.780 177.346 178.629 179.661 -179.529 -178.919 -178.486 -178.212 -178.081 -178.081 -178.200 -178.429 - 133.430 138.889 144.322 149.569 154.497 159.009 163.054 166.617 169.710 172.360 174.607 176.489 178.047 179.318 -179.666 -178.874 -178.282 -177.868 -177.613 -177.502 -177.521 -177.659 -177.907 - 133.205 138.836 144.441 149.847 154.911 159.533 163.660 167.279 170.407 173.076 175.328 177.207 178.755 -179.988 -178.988 -178.215 -177.643 -177.249 -177.014 -176.923 -176.961 -177.119 -177.385 - 132.968 138.778 144.562 150.134 155.339 160.072 164.282 167.957 171.118 173.803 176.060 177.933 179.471 -179.288 -178.307 -177.553 -177.001 -176.628 -176.414 -176.343 -176.402 -176.579 -176.865 - 132.718 138.714 144.686 150.430 155.781 160.629 164.921 168.651 171.844 174.544 176.802 178.669 -179.807 -178.583 -177.621 -176.888 -176.358 -176.006 -175.813 -175.763 -175.843 -176.040 -176.345 - 132.454 138.645 144.812 150.736 156.238 161.203 165.578 169.361 172.585 175.297 177.555 179.413 -179.078 -177.872 -176.931 -176.220 -175.712 -175.382 -175.212 -175.183 -175.283 -175.501 -175.826 - 132.176 138.570 144.942 151.053 156.711 161.795 166.253 170.089 173.341 176.064 178.319 -179.834 -178.342 -177.157 -176.237 -175.549 -175.064 -174.758 -174.610 -174.603 -174.725 -174.963 -175.308 - 131.882 138.489 145.075 151.381 157.201 162.406 166.948 170.836 174.113 176.844 179.094 -179.073 -177.599 -176.435 -175.539 -174.876 -174.415 -174.132 -174.007 -174.023 -174.166 -174.425 -174.791 - 131.571 138.400 145.212 151.722 157.708 163.038 167.663 171.600 174.901 177.637 179.880 -178.302 -176.849 -175.709 -174.838 -174.199 -173.763 -173.505 -173.404 -173.443 -173.608 -173.889 -174.275 - 131.241 138.305 145.352 152.075 158.235 163.691 168.399 172.383 175.706 178.444 -179.323 -177.524 -176.093 -174.978 -174.133 -173.520 -173.110 -172.877 -172.800 -172.863 -173.051 -173.353 -173.761 - 130.893 138.200 145.496 152.442 158.781 164.366 169.157 173.187 176.527 179.265 -178.516 -176.736 -175.330 -174.241 -173.424 -172.839 -172.456 -172.248 -172.196 -172.283 -172.494 -172.818 -173.247 - 130.523 138.087 145.644 152.824 159.348 165.064 169.937 174.010 177.365 -179.901 -177.697 -175.940 -174.560 -173.500 -172.711 -172.155 -171.799 -171.619 -171.592 -171.703 -171.937 -172.284 -172.734 - 130.131 137.965 145.796 153.222 159.938 165.787 170.741 174.854 178.221 -179.053 -176.867 -175.135 -173.785 -172.754 -171.996 -171.469 -171.142 -170.988 -170.988 -171.123 -171.381 -171.751 -172.223 - 129.715 137.832 145.954 153.637 160.552 166.536 171.569 175.719 179.094 -178.190 -176.026 -174.322 -173.002 -172.004 -171.277 -170.780 -170.483 -170.357 -170.384 -170.544 -170.826 -171.218 -171.713 - 129.272 137.688 146.117 154.071 161.192 167.313 172.422 176.605 179.985 -177.313 -175.174 -173.501 -172.214 -171.249 -170.555 -170.090 -169.823 -169.726 -169.779 -169.966 -170.272 -170.687 -171.204 - 128.801 137.531 146.285 154.524 161.859 168.117 173.302 177.515 -179.106 -176.423 -174.312 -172.672 -171.420 -170.490 -169.830 -169.398 -169.161 -169.094 -169.175 -169.388 -169.719 -170.157 -170.696 - 128.300 137.361 146.460 154.998 162.555 168.952 174.209 178.447 -178.179 -175.518 -173.438 -171.834 -170.619 -169.726 -169.102 -168.704 -168.499 -168.462 -168.571 -168.810 -169.166 -169.628 -170.190 - 127.764 137.176 146.641 155.496 163.282 169.819 175.145 179.402 -177.233 -174.598 -172.554 -170.989 -169.813 -168.959 -168.371 -168.008 -167.836 -167.830 -167.967 -168.233 -168.614 -169.101 -169.685 - 127.192 136.975 146.830 156.019 164.042 170.719 176.109 -179.618 -176.268 -173.664 -171.659 -170.135 -169.002 -168.188 -167.638 -167.311 -167.173 -167.197 -167.364 -167.657 -168.064 -168.574 -169.182 - 126.581 136.755 147.026 156.569 164.838 171.655 177.105 -178.614 -175.285 -172.717 -170.754 -169.274 -168.185 -167.413 -166.903 -166.612 -166.508 -166.564 -166.761 -167.082 -167.514 -168.049 -168.680 - 125.926 136.516 147.231 157.149 165.672 172.627 178.131 -177.585 -174.282 -171.755 -169.838 -168.406 -167.362 -166.634 -166.165 -165.912 -165.843 -165.932 -166.158 -166.507 -166.966 -167.526 -168.179 - 125.224 136.255 147.446 157.761 166.546 173.638 179.191 -176.530 -173.260 -170.778 -168.912 -167.531 -166.535 -165.852 -165.425 -165.211 -165.178 -165.300 -165.556 -165.933 -166.419 -167.003 -167.681 - 124.470 135.969 147.671 158.409 167.465 174.690 -179.716 -175.450 -172.219 -169.788 -167.976 -166.648 -165.703 -165.067 -164.683 -164.509 -164.512 -164.667 -164.955 -165.361 -165.872 -166.482 -167.183 - 123.658 135.657 147.908 159.095 168.430 175.786 -178.589 -174.343 -171.159 -168.784 -167.030 -165.759 -164.867 -164.279 -163.940 -163.807 -163.847 -164.036 -164.355 -164.789 -165.328 -165.963 -166.688 - 122.784 135.313 148.158 159.825 169.447 176.926 -177.425 -173.210 -170.079 -167.767 -166.075 -164.863 -164.026 -163.489 -163.195 -163.103 -163.181 -163.404 -163.755 -164.218 -164.784 -165.445 -166.194 - 121.841 134.935 148.422 160.601 170.517 178.114 -176.225 -172.050 -168.981 -166.736 -165.111 -163.960 -163.181 -162.695 -162.449 -162.399 -162.515 -162.774 -163.156 -163.649 -164.242 -164.928 -165.704 - 120.821 134.518 148.703 161.429 171.647 179.352 -174.988 -170.863 -167.863 -165.691 -164.137 -163.052 -162.332 -161.900 -161.701 -161.694 -161.850 -162.143 -162.558 -163.081 -163.702 -164.413 -165.213 diff --git a/pydarn/radar_fov_files/032_lats.txt b/pydarn/radar_fov_files/032_lats.txt deleted file mode 100644 index fcb34de3a..000000000 --- a/pydarn/radar_fov_files/032_lats.txt +++ /dev/null @@ -1,111 +0,0 @@ - 38.369 38.462 38.510 38.539 38.554 38.559 38.556 38.546 38.529 38.506 38.478 38.443 38.404 38.360 38.310 38.256 38.197 38.133 38.063 37.988 37.907 37.817 37.717 37.600 37.441 - 39.011 39.039 39.056 39.063 39.062 39.054 39.038 39.016 38.987 38.951 38.910 38.863 38.810 38.752 38.688 38.620 38.546 38.468 38.385 38.298 38.206 38.109 38.006 37.899 37.784 - 39.522 39.539 39.548 39.547 39.538 39.521 39.496 39.464 39.425 39.378 39.325 39.265 39.198 39.126 39.046 38.962 38.873 38.778 38.679 38.575 38.466 38.353 38.236 38.114 37.988 - 39.980 39.994 39.998 39.993 39.979 39.955 39.923 39.882 39.833 39.776 39.711 39.638 39.558 39.472 39.378 39.278 39.172 39.059 38.942 38.820 38.693 38.561 38.426 38.286 38.142 - 40.419 40.431 40.433 40.423 40.404 40.375 40.335 40.286 40.228 40.160 40.084 39.999 39.905 39.804 39.695 39.579 39.456 39.327 39.192 39.049 38.903 38.752 38.597 38.437 38.273 - 40.847 40.858 40.857 40.845 40.821 40.786 40.739 40.682 40.615 40.537 40.449 40.351 40.244 40.128 40.004 39.871 39.731 39.584 39.430 39.270 39.103 38.932 38.756 38.576 38.392 - 41.268 41.279 41.276 41.261 41.232 41.192 41.139 41.073 40.996 40.908 40.808 40.698 40.577 40.447 40.306 40.157 40.000 39.835 39.662 39.482 39.297 39.104 38.908 38.707 38.502 - 41.685 41.695 41.691 41.673 41.640 41.594 41.534 41.461 41.375 41.276 41.164 41.041 40.906 40.761 40.605 40.439 40.264 40.080 39.889 39.690 39.484 39.272 39.054 38.832 38.605 - 42.099 42.109 42.103 42.082 42.046 41.994 41.927 41.846 41.750 41.640 41.517 41.381 41.232 41.072 40.900 40.717 40.524 40.322 40.111 39.892 39.666 39.434 39.195 38.951 38.703 - 42.510 42.521 42.514 42.490 42.449 42.392 42.318 42.229 42.124 42.003 41.868 41.719 41.556 41.380 41.192 40.992 40.781 40.560 40.330 40.091 39.845 39.591 39.332 39.066 38.797 - 42.920 42.931 42.923 42.896 42.851 42.788 42.708 42.610 42.495 42.364 42.217 42.054 41.877 41.686 41.481 41.264 41.036 40.796 40.546 40.287 40.020 39.746 39.465 39.178 38.886 - 43.195 43.209 43.204 43.178 43.132 43.066 42.982 42.878 42.756 42.616 42.459 42.285 42.096 41.891 41.672 41.439 41.193 40.936 40.668 40.390 40.102 39.807 39.505 39.196 38.881 - 43.398 43.420 43.419 43.396 43.351 43.284 43.197 43.089 42.961 42.813 42.647 42.463 42.262 42.044 41.810 41.562 41.300 41.025 40.739 40.441 40.133 39.816 39.491 39.159 38.819 - 43.557 43.589 43.595 43.576 43.534 43.467 43.378 43.266 43.133 42.979 42.804 42.610 42.397 42.166 41.919 41.655 41.377 41.084 40.779 40.461 40.132 39.793 39.445 39.086 38.721 - 43.674 43.719 43.734 43.722 43.683 43.619 43.529 43.414 43.276 43.116 42.933 42.729 42.505 42.262 42.001 41.722 41.427 41.116 40.792 40.454 40.103 39.741 39.367 38.981 38.588 - 43.906 43.958 43.979 43.969 43.931 43.865 43.772 43.652 43.508 43.339 43.147 42.932 42.696 42.439 42.163 41.868 41.556 41.228 40.884 40.527 40.155 39.771 39.375 38.965 38.547 - 44.363 44.411 44.427 44.412 44.367 44.293 44.191 44.062 43.907 43.727 43.521 43.293 43.042 42.770 42.477 42.166 41.837 41.491 41.129 40.752 40.362 39.960 39.546 39.120 38.683 - 44.811 44.856 44.868 44.847 44.797 44.716 44.605 44.467 44.301 44.108 43.890 43.648 43.382 43.094 42.786 42.457 42.110 41.746 41.366 40.970 40.561 40.140 39.707 39.263 38.807 - 45.253 45.295 45.303 45.278 45.221 45.133 45.014 44.866 44.690 44.485 44.254 43.998 43.717 43.414 43.088 42.743 42.378 41.995 41.596 41.181 40.753 40.313 39.860 39.397 38.923 - 45.689 45.729 45.733 45.704 45.641 45.546 45.419 45.262 45.074 44.858 44.614 44.343 44.048 43.728 43.386 43.023 42.640 42.238 41.820 41.387 40.939 40.478 40.007 39.524 39.031 - 46.121 46.158 46.160 46.126 46.058 45.956 45.821 45.654 45.455 45.227 44.970 44.685 44.374 44.038 43.679 43.298 42.897 42.477 42.039 41.586 41.119 40.638 40.147 39.645 39.134 - 46.549 46.585 46.583 46.546 46.472 46.363 46.219 46.043 45.833 45.593 45.322 45.023 44.697 44.345 43.969 43.570 43.150 42.711 42.254 41.781 41.293 40.793 40.281 39.759 39.229 - 46.973 47.008 47.004 46.962 46.883 46.767 46.615 46.429 46.209 45.956 45.672 45.358 45.016 44.648 44.254 43.837 43.399 42.940 42.464 41.971 41.463 40.943 40.411 39.869 39.318 - 47.395 47.429 47.423 47.377 47.292 47.169 47.009 46.813 46.581 46.316 46.019 45.690 45.333 44.947 44.536 44.101 43.644 43.166 42.670 42.157 41.629 41.088 40.535 39.973 39.402 - 47.815 47.848 47.839 47.789 47.699 47.569 47.401 47.195 46.952 46.674 46.363 46.020 45.646 45.244 44.815 44.362 43.885 43.388 42.872 42.338 41.790 41.228 40.655 40.072 39.481 - 48.233 48.265 48.254 48.200 48.104 47.968 47.791 47.575 47.321 47.030 46.705 46.347 45.957 45.538 45.091 44.619 44.124 43.607 43.070 42.516 41.947 41.365 40.771 40.167 39.556 - 48.649 48.680 48.667 48.609 48.508 48.364 48.179 47.953 47.687 47.384 47.045 46.672 46.266 45.829 45.365 44.874 44.359 43.822 43.265 42.690 42.101 41.497 40.882 40.258 39.626 - 49.064 49.094 49.079 49.017 48.911 48.760 48.566 48.329 48.052 47.736 47.383 46.994 46.572 46.118 45.635 45.125 44.591 44.034 43.456 42.861 42.250 41.626 40.990 40.345 39.692 - 49.477 49.507 49.489 49.424 49.312 49.154 48.951 48.705 48.416 48.087 47.719 47.314 46.875 46.404 45.903 45.374 44.820 44.242 43.644 43.028 42.396 41.751 41.094 40.427 39.754 - 49.889 49.919 49.899 49.830 49.713 49.547 49.336 49.079 48.778 48.435 48.053 47.633 47.177 46.688 46.168 45.620 45.046 44.448 43.829 43.192 42.539 41.872 41.194 40.506 39.812 - 50.300 50.330 50.308 50.235 50.112 49.940 49.719 49.451 49.138 48.782 48.385 47.949 47.476 46.969 46.431 45.863 45.269 44.651 44.011 43.353 42.678 41.990 41.290 40.582 39.866 - 50.710 50.739 50.716 50.639 50.511 50.331 50.101 49.823 49.498 49.128 48.716 48.264 47.774 47.249 46.691 46.104 45.489 44.850 44.190 43.510 42.814 42.105 41.383 40.653 39.917 - 51.119 51.149 51.123 51.043 50.908 50.721 50.482 50.193 49.856 49.472 49.045 48.576 48.069 47.525 46.949 46.342 45.707 45.047 44.365 43.664 42.947 42.216 41.473 40.721 39.964 - 51.528 51.557 51.530 51.446 51.306 51.111 50.862 50.562 50.213 49.815 49.372 48.887 48.362 47.800 47.204 46.577 45.922 45.241 44.538 43.815 43.076 42.323 41.559 40.786 40.007 - 51.936 51.965 51.936 51.848 51.702 51.500 51.242 50.931 50.568 50.156 49.698 49.196 48.653 48.073 47.457 46.810 46.134 45.432 44.708 43.963 43.203 42.428 41.642 40.847 40.047 - 52.343 52.373 52.342 52.250 52.098 51.888 51.621 51.298 50.923 50.496 50.023 49.504 48.943 48.343 47.708 47.040 46.343 45.620 44.874 44.108 43.326 42.529 41.721 40.905 40.084 - 52.750 52.780 52.747 52.651 52.494 52.276 51.999 51.665 51.276 50.835 50.345 49.809 49.230 48.611 47.956 47.268 46.550 45.805 45.038 44.250 43.446 42.627 41.798 40.960 40.117 - 53.157 53.187 53.152 53.052 52.889 52.663 52.376 52.030 51.628 51.173 50.667 50.113 49.515 48.877 48.202 47.493 46.754 45.988 45.199 44.389 43.562 42.722 41.871 41.011 40.146 - 53.563 53.593 53.557 53.453 53.284 53.049 52.752 52.395 51.979 51.509 50.986 50.415 49.799 49.141 48.446 47.716 46.955 46.168 45.356 44.525 43.676 42.814 41.940 41.059 40.173 - 53.968 53.999 53.961 53.854 53.678 53.436 53.128 52.759 52.329 51.844 51.304 50.715 50.080 49.403 48.687 47.936 47.154 46.344 45.511 44.657 43.787 42.902 42.007 41.104 40.196 - 54.374 54.405 54.365 54.254 54.072 53.821 53.504 53.122 52.679 52.177 51.621 51.014 50.360 49.662 48.926 48.154 47.350 46.519 45.663 44.787 43.894 42.987 42.070 41.145 40.216 - 54.779 54.811 54.769 54.654 54.465 54.206 53.878 53.484 53.027 52.509 51.936 51.311 50.637 49.920 49.162 48.369 47.543 46.690 45.812 44.914 43.998 43.069 42.130 41.183 40.233 - 55.184 55.217 55.173 55.053 54.859 54.591 54.252 53.845 53.374 52.841 52.250 51.606 50.913 50.175 49.396 48.581 47.734 46.858 45.958 45.037 44.099 43.148 42.187 41.218 40.246 - 55.588 55.622 55.577 55.453 55.252 54.975 54.626 54.206 53.720 53.170 52.562 51.899 51.187 50.428 49.628 48.791 47.922 47.024 46.101 45.158 44.198 43.224 42.240 41.250 40.256 - 55.993 56.027 55.980 55.852 55.645 55.359 54.999 54.566 54.064 53.499 52.873 52.191 51.458 50.679 49.857 48.998 48.107 47.186 46.241 45.275 44.292 43.297 42.291 41.279 40.263 - 56.397 56.433 56.384 56.252 56.038 55.743 55.371 54.925 54.408 53.826 53.182 52.481 51.727 50.927 50.084 49.203 48.289 47.346 46.378 45.389 44.384 43.366 42.338 41.304 40.267 - 56.801 56.838 56.788 56.651 56.430 56.126 55.743 55.283 54.751 54.152 53.489 52.769 51.995 51.173 50.308 49.405 48.468 47.503 46.512 45.501 44.473 43.432 42.382 41.326 40.267 - 57.205 57.243 57.191 57.050 56.822 56.509 56.114 55.640 55.093 54.476 53.795 53.055 52.260 51.417 50.530 49.604 48.645 47.656 46.643 45.609 44.558 43.495 42.423 41.345 40.265 - 57.609 57.648 57.595 57.450 57.214 56.892 56.484 55.997 55.434 54.799 54.099 53.339 52.523 51.658 50.749 49.801 48.819 47.807 46.771 45.714 44.641 43.555 42.460 41.361 40.259 - 58.013 58.053 57.998 57.849 57.606 57.274 56.854 56.353 55.773 55.121 54.402 53.621 52.784 51.897 50.966 49.995 48.990 47.955 46.896 45.816 44.720 43.612 42.495 41.373 40.249 - 58.417 58.458 58.402 58.248 57.998 57.656 57.224 56.708 56.112 55.441 54.702 53.901 53.043 52.134 51.180 50.186 49.158 48.100 47.017 45.915 44.796 43.665 42.526 41.382 40.237 - 58.821 58.864 58.805 58.647 58.390 58.037 57.593 57.062 56.449 55.760 55.002 54.179 53.300 52.368 51.391 50.374 49.323 48.242 47.136 46.010 44.869 43.715 42.554 41.388 40.222 - 59.225 59.269 59.209 59.046 58.781 58.418 57.961 57.415 56.785 56.078 55.299 54.456 53.554 52.600 51.600 50.560 49.485 48.380 47.251 46.103 44.938 43.762 42.579 41.391 40.203 - 59.628 59.674 59.613 59.445 59.173 58.799 58.329 57.767 57.120 56.393 55.594 54.730 53.806 52.829 51.806 50.742 49.644 48.516 47.364 46.192 45.004 43.806 42.600 41.391 40.181 - 60.032 60.080 60.017 59.844 59.564 59.180 58.696 58.119 57.454 56.708 55.888 55.002 54.055 53.055 52.009 50.922 49.800 48.648 47.473 46.278 45.067 43.846 42.618 41.387 40.156 - 60.436 60.486 60.421 60.244 59.955 59.560 59.063 58.469 57.786 57.021 56.180 55.272 54.302 53.279 52.209 51.098 49.953 48.778 47.579 46.360 45.127 43.883 42.633 41.380 40.127 - 60.839 60.891 60.826 60.643 60.347 59.940 59.429 58.819 58.117 57.332 56.470 55.539 54.547 53.501 52.407 51.272 50.103 48.904 47.681 46.440 45.184 43.917 42.645 41.370 40.096 - 61.243 61.297 61.230 61.043 60.738 60.320 59.794 59.167 58.447 57.642 56.758 55.805 54.789 53.719 52.601 51.443 50.249 49.027 47.781 46.516 45.237 43.948 42.653 41.356 40.061 - 61.647 61.703 61.635 61.442 61.129 60.699 60.159 59.515 58.776 57.949 57.044 56.068 55.029 53.935 52.793 51.610 50.393 49.146 47.877 46.588 45.287 43.975 42.658 41.340 40.023 - 62.051 62.110 62.040 61.842 61.520 61.078 60.523 59.862 59.103 58.256 57.328 56.329 55.266 54.148 52.982 51.775 50.533 49.263 47.969 46.658 45.333 43.999 42.660 41.320 39.981 - 62.455 62.516 62.445 62.242 61.910 61.456 60.886 60.207 59.429 58.560 57.610 56.587 55.500 54.358 53.167 51.936 50.670 49.376 48.059 46.724 45.376 44.020 42.658 41.296 39.937 - 62.858 62.923 62.850 62.641 62.301 61.834 61.248 60.552 59.753 58.863 57.889 56.843 55.732 54.565 53.350 52.094 50.804 49.485 48.145 46.787 45.416 44.037 42.654 41.270 39.889 - 63.262 63.329 63.255 63.041 62.692 62.212 61.610 60.895 60.076 59.163 58.167 57.096 55.961 54.769 53.529 52.249 50.934 49.592 48.227 46.846 45.452 44.051 42.645 41.240 39.838 - 63.666 63.736 63.661 63.442 63.082 62.589 61.971 61.237 60.397 59.462 58.442 57.347 56.187 54.970 53.706 52.400 51.061 49.695 48.306 46.902 45.485 44.061 42.634 41.207 39.784 - 64.070 64.144 64.067 63.842 63.473 62.966 62.332 61.578 60.717 59.759 58.715 57.595 56.410 55.168 53.879 52.548 51.185 49.794 48.382 46.954 45.515 44.068 42.619 41.171 39.726 - 64.474 64.551 64.473 64.242 63.863 63.343 62.691 61.918 61.035 60.054 58.985 57.841 56.630 55.363 54.048 52.693 51.305 49.890 48.454 47.003 45.541 44.072 42.601 41.131 39.665 - 64.878 64.959 64.880 64.643 64.253 63.719 63.050 62.256 61.351 60.346 59.253 58.084 56.848 55.555 54.215 52.835 51.422 49.983 48.523 47.048 45.563 44.072 42.579 41.088 39.601 - 65.282 65.367 65.287 65.044 64.644 64.095 63.407 62.594 61.666 60.637 59.519 58.323 57.062 55.744 54.378 52.972 51.535 50.071 48.588 47.090 45.583 44.069 42.554 41.041 39.534 - 65.686 65.775 65.694 65.445 65.034 64.470 63.764 62.929 61.978 60.925 59.781 58.560 57.273 55.929 54.537 53.107 51.644 50.157 48.650 47.129 45.598 44.063 42.526 40.992 39.463 - 66.090 66.183 66.101 65.846 65.424 64.845 64.120 63.264 62.289 61.211 60.042 58.794 57.481 56.111 54.693 53.238 51.750 50.239 48.708 47.164 45.610 44.053 42.494 40.939 39.390 - 66.494 66.592 66.509 66.247 65.814 65.219 64.475 63.596 62.598 61.494 60.299 59.025 57.685 56.289 54.846 53.365 51.853 50.317 48.762 47.195 45.619 44.039 42.459 40.883 39.312 - 66.899 67.001 66.917 66.648 66.203 65.592 64.829 63.927 62.905 61.775 60.554 59.253 57.887 56.464 54.995 53.488 51.952 50.391 48.813 47.222 45.624 44.022 42.421 40.823 39.232 - 67.303 67.410 67.325 67.050 66.593 65.965 65.181 64.257 63.209 62.054 60.805 59.478 58.084 56.635 55.140 53.608 52.046 50.462 48.860 47.246 45.626 44.002 42.379 40.760 39.148 - 67.707 67.820 67.734 67.452 66.982 66.337 65.533 64.585 63.512 62.329 61.054 59.700 58.279 56.803 55.282 53.724 52.138 50.529 48.903 47.267 45.624 43.978 42.333 40.693 39.062 - 68.111 68.230 68.143 67.854 67.371 66.709 65.883 64.911 63.812 62.603 61.300 59.918 58.470 56.967 55.420 53.837 52.225 50.592 48.943 47.284 45.618 43.950 42.285 40.624 38.972 - 68.515 68.640 68.553 68.256 67.761 67.080 66.232 65.235 64.110 62.873 61.542 60.132 58.657 57.127 55.554 53.945 52.309 50.652 48.979 47.297 45.609 43.919 42.232 40.551 38.878 - 68.919 69.050 68.962 68.659 68.149 67.450 66.579 65.558 64.405 63.140 61.781 60.343 58.840 57.284 55.684 54.050 52.389 50.707 49.011 47.306 45.596 43.885 42.177 40.474 38.781 - 69.323 69.461 69.373 69.061 68.538 67.819 66.926 65.878 64.698 63.405 62.017 60.551 59.020 57.436 55.810 54.150 52.464 50.759 49.040 47.312 45.580 43.847 42.117 40.394 38.681 - 69.726 69.872 69.783 69.464 68.926 68.188 67.270 66.196 64.988 63.666 62.250 60.755 59.196 57.585 55.932 54.247 52.536 50.807 49.064 47.314 45.559 43.805 42.055 40.311 38.577 - 70.130 70.284 70.194 69.867 69.314 68.555 67.613 66.512 65.275 63.924 62.478 60.955 59.368 57.730 56.051 54.340 52.604 50.851 49.085 47.312 45.536 43.760 41.989 40.224 38.471 - 70.533 70.695 70.606 70.270 69.702 68.922 67.955 66.826 65.560 64.179 62.704 61.151 59.536 57.870 56.165 54.428 52.668 50.891 49.102 47.306 45.508 43.712 41.919 40.134 38.360 - 70.936 71.107 71.018 70.673 70.089 69.288 68.294 67.137 65.841 64.430 62.925 61.344 59.700 58.007 56.275 54.513 52.728 50.927 49.115 47.297 45.477 43.659 41.846 40.041 38.247 - 71.339 71.519 71.430 71.077 70.476 69.652 68.632 67.446 66.119 64.678 63.143 61.532 59.860 58.139 56.381 54.593 52.784 50.959 49.124 47.284 45.443 43.604 41.770 39.944 38.130 - 71.742 71.932 71.843 71.480 70.863 70.015 68.968 67.752 66.395 64.922 63.357 61.716 60.015 58.267 56.482 54.669 52.836 50.987 49.130 47.267 45.404 43.544 41.690 39.844 38.010 - 72.144 72.345 72.256 71.884 71.249 70.377 69.302 68.055 66.667 65.163 63.566 61.896 60.166 58.391 56.580 54.741 52.883 51.011 49.131 47.247 45.362 43.481 41.606 39.741 37.886 - 72.546 72.758 72.670 72.288 71.634 70.738 69.634 68.355 66.935 65.400 63.772 62.071 60.313 58.510 56.673 54.809 52.927 51.031 49.128 47.222 45.316 43.415 41.519 39.634 37.759 - 72.948 73.172 73.084 72.692 72.019 71.097 69.963 68.653 67.200 65.632 63.973 62.243 60.456 58.625 56.761 54.872 52.966 51.047 49.122 47.194 45.267 43.344 41.429 39.523 37.629 - 73.349 73.585 73.498 73.097 72.404 71.455 70.290 68.947 67.461 65.861 64.170 62.409 60.593 58.735 56.845 54.931 53.001 51.059 49.111 47.162 45.214 43.271 41.335 39.410 37.496 - 73.750 73.999 73.914 73.501 72.787 71.811 70.614 69.238 67.718 66.085 64.363 62.571 60.727 58.841 56.925 54.986 53.031 51.067 49.097 47.126 45.157 43.193 41.238 39.292 37.359 - 74.149 74.414 74.329 73.905 73.170 72.165 70.936 69.525 67.971 66.304 64.550 62.729 60.855 58.942 57.000 55.036 53.058 51.070 49.078 47.086 45.096 43.112 41.137 39.172 37.219 - 74.548 74.828 74.745 74.310 73.552 72.517 71.254 69.809 68.220 66.520 64.733 62.881 60.979 59.039 57.070 55.082 53.080 51.070 49.056 47.042 45.032 43.028 41.032 39.049 37.075 - 74.947 75.243 75.162 74.714 73.933 72.868 71.570 70.089 68.464 66.730 64.912 63.029 61.098 59.130 57.136 55.123 53.098 51.065 49.029 46.995 44.964 42.939 40.924 38.921 36.928 - 75.344 75.658 75.579 75.119 74.313 73.216 71.882 70.365 68.704 66.936 65.085 63.172 61.212 59.217 57.197 55.160 53.111 51.056 48.999 46.943 44.892 42.848 40.813 38.790 36.778 - 75.740 76.073 75.997 75.523 74.692 73.561 72.191 70.636 68.940 67.136 65.253 63.309 61.321 59.299 57.254 55.192 53.120 51.043 48.964 46.888 44.816 42.752 40.698 38.656 36.624 - 76.135 76.488 76.415 75.928 75.070 73.904 72.497 70.903 69.170 67.332 65.416 63.441 61.424 59.376 57.305 55.220 53.125 51.026 48.926 46.829 44.737 42.653 40.579 38.518 36.467 - 76.529 76.904 76.834 76.332 75.446 74.245 72.798 71.166 69.395 67.522 65.573 63.569 61.523 59.448 57.352 55.243 53.125 51.004 48.883 46.765 44.654 42.550 40.457 38.377 36.309 - 76.921 77.319 77.254 76.736 75.821 74.582 73.096 71.424 69.615 67.707 65.725 63.690 61.616 59.515 57.394 55.261 53.121 50.978 48.836 46.698 44.567 42.444 40.332 38.232 36.145 - 77.311 77.735 77.674 77.140 76.194 74.916 73.389 71.676 69.830 67.886 65.872 63.806 61.705 59.577 57.431 55.275 53.112 50.948 48.785 46.627 44.476 42.334 40.203 38.084 35.978 - 77.699 78.151 78.094 77.544 76.565 75.247 73.677 71.923 70.038 68.059 66.012 63.917 61.787 59.634 57.464 55.284 53.099 50.914 48.731 46.552 44.382 42.221 40.070 37.933 35.808 - 78.085 78.566 78.515 77.947 76.934 75.574 73.960 72.165 70.241 68.227 66.147 64.022 61.865 59.685 57.491 55.288 53.082 50.875 48.672 46.474 44.284 42.103 39.934 37.778 35.635 - 78.469 78.982 78.937 78.350 77.300 75.897 74.239 72.401 70.438 68.388 66.276 64.121 61.936 59.731 57.513 55.288 53.060 50.832 48.608 46.391 44.182 41.983 39.795 37.620 35.458 - 78.849 79.397 79.360 78.752 77.665 76.216 74.512 72.631 70.629 68.543 66.399 64.215 62.003 59.772 57.530 55.283 53.033 50.785 48.541 46.304 44.076 41.858 39.652 37.458 35.278 - 79.226 79.812 79.783 79.154 78.026 76.530 74.778 72.854 70.813 68.692 66.516 64.302 62.063 59.808 57.543 55.273 53.002 50.733 48.470 46.214 43.967 41.730 39.505 37.293 35.094 - 79.600 80.226 80.206 79.555 78.384 76.839 75.039 73.071 70.990 68.834 66.626 64.383 62.118 59.838 57.550 55.258 52.966 50.677 48.394 46.119 43.853 41.598 39.355 37.124 34.907 - 79.969 80.640 80.631 79.954 78.739 77.142 75.293 73.281 71.160 68.969 66.730 64.459 62.167 59.863 57.552 55.238 52.926 50.617 48.315 46.021 43.736 41.463 39.202 36.952 34.717 - 80.334 81.053 81.056 80.353 79.089 77.440 75.541 73.483 71.324 69.097 66.827 64.528 62.211 59.882 57.549 55.214 52.881 50.553 48.231 45.918 43.616 41.324 39.046 36.776 34.523 - 80.693 81.465 81.481 80.750 79.436 77.731 75.781 73.678 71.479 69.218 66.918 64.591 62.248 59.896 57.540 55.184 52.831 50.484 48.144 45.812 43.491 41.181 38.885 36.597 34.326 - 81.046 81.876 81.908 81.146 79.777 78.015 76.013 73.865 71.627 69.333 67.001 64.647 62.280 59.905 57.527 55.150 52.777 50.411 48.052 45.702 43.363 41.035 38.721 36.415 34.126 - 81.391 82.285 82.335 81.540 80.113 78.291 76.237 74.044 71.768 69.439 67.078 64.698 62.305 59.907 57.508 55.111 52.719 50.333 47.956 45.588 43.231 40.885 38.553 36.231 33.922 - 81.729 82.693 82.762 81.931 80.443 78.560 76.452 74.214 71.900 69.538 67.148 64.741 62.325 59.905 57.485 55.067 52.656 50.251 47.856 45.470 43.095 40.732 38.382 36.042 33.715 - 82.057 83.098 83.191 82.320 80.766 78.820 76.658 74.376 72.024 69.630 67.211 64.778 62.338 59.896 57.455 55.019 52.588 50.165 47.751 45.348 42.956 40.575 38.207 35.849 33.504 diff --git a/pydarn/radar_fov_files/032_lons.txt b/pydarn/radar_fov_files/032_lons.txt deleted file mode 100644 index 068c99017..000000000 --- a/pydarn/radar_fov_files/032_lons.txt +++ /dev/null @@ -1,111 +0,0 @@ - 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37.388 37.826 38.256 38.679 39.090 39.490 39.879 40.254 40.616 40.963 41.294 41.607 41.901 42.176 42.430 42.662 42.870 43.055 43.214 43.347 43.453 43.531 43.579 43.598 43.585 - 37.483 37.939 38.390 38.830 39.260 39.680 40.088 40.483 40.864 41.229 41.578 41.908 42.220 42.510 42.779 43.025 43.247 43.444 43.614 43.758 43.872 43.958 44.014 44.038 44.030 - 37.569 38.044 38.514 38.974 39.424 39.863 40.291 40.705 41.105 41.489 41.856 42.204 42.533 42.840 43.124 43.384 43.620 43.829 44.010 44.163 44.287 44.380 44.442 44.472 44.469 - 37.648 38.143 38.632 39.111 39.581 40.041 40.488 40.922 41.342 41.745 42.130 42.496 42.841 43.164 43.464 43.739 43.988 44.209 44.402 44.565 44.698 44.799 44.867 44.902 44.903 - 37.720 38.234 38.743 39.243 39.733 40.213 40.681 41.135 41.573 41.995 42.399 42.783 43.146 43.485 43.801 44.090 44.352 44.586 44.790 44.963 45.105 45.213 45.288 45.328 45.332 - 37.787 38.322 38.850 39.370 39.880 40.380 40.868 41.342 41.801 42.242 42.665 43.067 43.447 43.803 44.134 44.438 44.714 44.960 45.176 45.359 45.509 45.625 45.706 45.750 45.758 - 37.848 38.403 38.951 39.491 40.023 40.543 41.051 41.546 42.024 42.485 42.926 43.347 43.744 44.117 44.464 44.783 45.073 45.332 45.558 45.752 45.911 46.034 46.121 46.170 46.181 - 37.904 38.479 39.047 39.609 40.161 40.702 41.231 41.745 42.244 42.724 43.184 43.623 44.038 44.428 44.791 45.125 45.429 45.701 45.939 46.142 46.310 46.441 46.534 46.587 46.602 - 37.955 38.551 39.140 39.722 40.294 40.857 41.406 41.941 42.460 42.960 43.439 43.897 44.330 44.737 45.116 45.465 45.783 46.067 46.317 46.531 46.708 46.846 46.944 47.003 47.020 - 38.002 38.618 39.228 39.831 40.424 41.008 41.578 42.133 42.672 43.192 43.691 44.168 44.619 45.043 45.438 45.803 46.135 46.432 46.694 46.918 47.103 47.249 47.354 47.417 47.437 - 38.045 38.681 39.312 39.936 40.551 41.155 41.746 42.323 42.882 43.422 43.941 44.436 44.905 45.347 45.758 46.138 46.485 46.795 47.069 47.303 47.498 47.651 47.761 47.829 47.852 - 38.083 38.741 39.392 40.037 40.673 41.299 41.911 42.508 43.088 43.648 44.187 44.701 45.189 45.648 46.076 46.472 46.833 47.157 47.442 47.687 47.891 48.051 48.168 48.240 48.266 - 38.118 38.796 39.469 40.135 40.793 41.439 42.073 42.691 43.292 43.872 44.430 44.964 45.470 45.947 46.392 46.804 47.179 47.517 47.814 48.070 48.283 48.451 48.573 48.649 48.678 - 38.149 38.848 39.542 40.229 40.908 41.576 42.231 42.870 43.492 44.093 44.671 45.224 45.749 46.244 46.706 47.134 47.524 47.875 48.185 48.451 48.673 48.849 48.978 49.058 49.089 - 38.177 38.897 39.612 40.320 41.021 41.710 42.386 43.047 43.689 44.311 44.909 45.482 46.026 46.539 47.019 47.462 47.867 48.232 48.554 48.832 49.063 49.247 49.381 49.466 49.500 - 38.201 38.941 39.678 40.408 41.130 41.841 42.539 43.221 43.884 44.527 45.145 45.737 46.301 46.832 47.329 47.789 48.209 48.588 48.922 49.211 49.452 49.643 49.784 49.873 49.909 - 38.221 38.983 39.741 40.492 41.236 41.969 42.688 43.391 44.076 44.739 45.378 45.991 46.573 47.123 47.637 48.114 48.550 48.942 49.290 49.589 49.840 50.039 50.186 50.279 50.318 - 38.239 39.021 39.800 40.574 41.339 42.093 42.834 43.559 44.265 44.949 45.609 46.242 46.843 47.412 47.944 48.437 48.889 49.296 49.656 49.967 50.227 50.434 50.587 50.685 50.727 - 38.253 39.056 39.857 40.652 41.438 42.215 42.977 43.724 44.452 45.157 45.838 46.490 47.111 47.699 48.249 48.759 49.226 49.648 50.021 50.344 50.613 50.829 50.988 51.090 51.134 - 38.263 39.088 39.910 40.726 41.535 42.333 43.118 43.886 44.635 45.362 46.063 46.736 47.378 47.984 48.552 49.079 49.563 49.999 50.385 50.719 50.999 51.223 51.389 51.495 51.542 - 38.271 39.117 39.960 40.798 41.629 42.448 43.255 44.045 44.816 45.564 46.287 46.980 47.642 48.267 48.854 49.398 49.898 50.349 50.748 51.095 51.385 51.617 51.789 51.899 51.948 - 38.275 39.142 40.007 40.867 41.719 42.561 43.390 44.202 44.994 45.764 46.508 47.222 47.903 48.548 49.154 49.716 50.231 50.697 51.111 51.469 51.769 52.010 52.188 52.304 52.355 - 38.276 39.164 40.050 40.932 41.806 42.670 43.521 44.355 45.170 45.961 46.726 47.462 48.163 48.828 49.452 50.032 50.564 51.045 51.473 51.843 52.154 52.402 52.587 52.707 52.761 - 38.274 39.183 40.091 40.995 41.891 42.777 43.650 44.506 45.343 46.156 46.943 47.699 48.421 49.105 49.748 50.346 50.895 51.392 51.833 52.216 52.537 52.795 52.986 53.111 53.167 - 38.269 39.199 40.129 41.054 41.972 42.880 43.776 44.654 45.513 46.348 47.156 47.934 48.677 49.381 50.043 50.659 51.225 51.738 52.193 52.588 52.920 53.187 53.385 53.514 53.572 - 38.260 39.212 40.163 41.110 42.051 42.981 43.898 44.799 45.680 46.538 47.367 48.166 48.930 49.655 50.336 50.971 51.554 52.082 52.552 52.960 53.303 53.578 53.784 53.917 53.978 - 38.249 39.222 40.195 41.164 42.126 43.079 44.018 44.942 45.845 46.724 47.576 48.397 49.181 49.926 50.628 51.281 51.882 52.426 52.911 53.332 53.686 53.970 54.182 54.320 54.383 - 38.235 39.229 40.223 41.214 42.198 43.173 44.135 45.081 46.007 46.909 47.783 48.625 49.431 50.196 50.917 51.589 52.208 52.769 53.268 53.702 54.067 54.361 54.580 54.723 54.788 - 38.217 39.233 40.248 41.261 42.268 43.265 44.249 45.218 46.166 47.090 47.986 48.850 49.678 50.464 51.205 51.896 52.533 53.110 53.625 54.072 54.449 54.752 54.978 55.126 55.194 - 38.197 39.233 40.271 41.305 42.334 43.354 44.361 45.351 46.322 47.269 48.188 49.074 49.923 50.730 51.491 52.202 52.856 53.451 53.981 54.442 54.830 55.142 55.376 55.528 55.599 - 38.173 39.231 40.290 41.346 42.397 43.439 44.469 45.482 46.476 47.445 48.386 49.294 50.165 50.994 51.776 52.506 53.179 53.791 54.336 54.811 55.211 55.533 55.774 55.931 56.004 - 38.147 39.226 40.306 41.384 42.457 43.522 44.574 45.610 46.627 47.619 48.582 49.513 50.406 51.256 52.058 52.808 53.500 54.129 54.690 55.179 55.591 55.923 56.172 56.334 56.409 - 38.117 39.217 40.319 41.419 42.515 43.602 44.676 45.735 46.774 47.789 48.776 49.729 50.644 51.516 52.339 53.109 53.820 54.467 55.044 55.547 55.972 56.313 56.569 56.737 56.814 - 38.084 39.206 40.329 41.451 42.569 43.678 44.776 45.857 46.920 47.957 48.967 49.942 50.880 51.773 52.618 53.408 54.138 54.803 55.397 55.914 56.351 56.703 56.967 57.139 57.219 - 38.049 39.191 40.336 41.480 42.620 43.752 44.872 45.977 47.062 48.123 49.155 50.153 51.113 52.029 52.895 53.706 54.455 55.138 55.749 56.281 56.731 57.093 57.365 57.542 57.624 - 38.010 39.174 40.340 41.506 42.668 43.822 44.965 46.093 47.201 48.285 49.340 50.362 51.344 52.282 53.170 54.002 54.771 55.472 56.100 56.647 57.110 57.483 57.762 57.945 58.029 - 37.968 39.153 40.341 41.529 42.713 43.890 45.055 46.206 47.337 48.445 49.523 50.568 51.573 52.534 53.443 54.296 55.085 55.806 56.450 57.013 57.489 57.872 58.160 58.348 58.434 - 37.924 39.130 40.339 41.549 42.755 43.954 45.143 46.316 47.471 48.601 49.703 50.771 51.800 52.783 53.715 54.589 55.398 56.137 56.799 57.378 57.867 58.262 58.558 58.751 58.839 - 37.876 39.103 40.334 41.565 42.794 44.015 45.227 46.423 47.601 48.755 49.880 50.972 52.023 53.030 53.984 54.879 55.710 56.468 57.148 57.742 58.245 58.651 58.955 59.154 59.245 - 37.826 39.073 40.326 41.579 42.829 44.074 45.308 46.527 47.728 48.906 50.055 51.170 52.245 53.274 54.251 55.168 56.020 56.798 57.496 58.106 58.623 59.040 59.353 59.557 59.650 - 37.772 39.041 40.314 41.589 42.862 44.129 45.386 46.628 47.853 49.054 50.226 51.365 52.464 53.516 54.516 55.455 56.328 57.126 57.842 58.469 59.001 59.430 59.751 59.961 60.056 - 37.715 39.005 40.300 41.597 42.891 44.181 45.460 46.726 47.974 49.199 50.395 51.558 52.680 53.756 54.778 55.741 56.635 57.453 58.188 58.832 59.378 59.819 60.149 60.365 60.462 - 37.655 38.966 40.282 41.601 42.918 44.229 45.532 46.821 48.092 49.341 50.561 51.747 52.894 53.993 55.039 56.024 56.940 57.779 58.533 59.194 59.755 60.208 60.547 60.768 60.868 - 37.593 38.924 40.262 41.602 42.941 44.275 45.600 46.913 48.207 49.480 50.724 51.934 53.104 54.228 55.297 56.305 57.243 58.103 58.877 59.555 60.131 60.597 60.945 61.172 61.274 - 37.527 38.880 40.238 41.600 42.961 44.317 45.665 47.001 48.319 49.615 50.883 52.118 53.313 54.460 55.554 56.585 57.545 58.426 59.220 59.916 60.507 60.985 61.344 61.577 61.681 - 37.458 38.832 40.211 41.595 42.978 44.356 45.727 47.086 48.428 49.748 51.040 52.299 53.518 54.690 55.807 56.862 57.845 58.748 59.561 60.276 60.883 61.374 61.742 61.981 62.087 - 37.387 38.781 40.182 41.586 42.991 44.392 45.786 47.168 48.534 49.877 51.194 52.477 53.721 54.917 56.059 57.137 58.143 59.068 59.902 60.635 61.258 61.763 62.141 62.386 62.494 - 37.312 38.726 40.149 41.575 43.002 44.425 45.842 47.247 48.636 50.004 51.344 52.652 53.920 55.141 56.308 57.410 58.440 59.387 60.242 60.994 61.633 62.151 62.539 62.791 62.901 - 37.234 38.669 40.113 41.560 43.009 44.455 45.894 47.322 48.735 50.127 51.492 52.824 54.117 55.363 56.554 57.681 58.734 59.704 60.580 61.352 62.008 62.540 62.938 63.196 63.309 - 37.153 38.609 40.073 41.542 43.013 44.481 45.943 47.394 48.831 50.246 51.636 52.993 54.311 55.582 56.798 57.949 59.027 60.020 60.917 61.709 62.382 62.928 63.337 63.602 63.717 - 37.069 38.546 40.031 41.521 43.014 44.504 45.989 47.463 48.923 50.363 51.777 53.159 54.502 55.798 57.039 58.216 59.317 60.334 61.253 62.065 62.756 63.316 63.736 64.007 64.124 - 36.982 38.479 39.985 41.497 43.011 44.524 46.031 47.529 49.012 50.476 51.914 53.321 54.690 56.011 57.278 58.479 59.606 60.646 61.588 62.420 63.129 63.704 64.135 64.413 64.533 - 36.892 38.410 39.937 41.470 43.005 44.540 46.070 47.591 49.098 50.586 52.049 53.481 54.874 56.221 57.513 58.741 59.892 60.957 61.922 62.774 63.502 64.093 64.535 64.820 64.941 - 36.799 38.337 39.885 41.439 42.996 44.553 46.105 47.649 49.180 50.692 52.180 53.637 55.056 56.428 57.746 58.999 60.176 61.265 62.254 63.128 63.874 64.481 64.934 65.226 65.350 - 36.703 38.263 39.830 41.405 42.984 44.563 46.138 47.705 49.259 50.795 52.307 53.789 55.234 56.633 57.977 59.256 60.458 61.572 62.584 63.480 64.246 64.868 65.334 65.633 65.759 - 36.604 38.184 39.772 41.368 42.968 44.569 46.167 47.756 49.334 50.894 52.431 53.938 55.409 56.833 58.204 59.509 60.738 61.877 62.913 63.832 64.617 65.256 65.734 66.041 66.168 - 36.502 38.102 39.711 41.328 42.949 44.572 46.192 47.805 49.406 50.990 52.552 54.084 55.580 57.031 58.428 59.760 61.015 62.180 63.241 64.182 64.988 65.644 66.134 66.448 66.578 - 36.397 38.017 39.646 41.284 42.927 44.572 46.214 47.850 49.474 51.082 52.669 54.226 55.748 57.226 58.649 60.008 61.290 62.481 63.567 64.531 65.358 66.031 66.535 66.856 66.988 - 36.289 37.929 39.579 41.238 42.902 44.568 46.232 47.891 49.539 51.171 52.782 54.365 55.913 57.417 58.867 60.253 61.562 62.780 63.891 64.880 65.728 66.418 66.935 67.265 67.398 - 36.178 37.838 39.508 41.188 42.873 44.561 46.247 47.929 49.600 51.256 52.892 54.500 56.074 57.604 59.082 60.495 61.831 63.076 64.214 65.227 66.096 66.805 67.336 67.674 67.809 - 36.063 37.743 39.434 41.134 42.841 44.550 46.259 47.963 49.657 51.338 52.998 54.632 56.232 57.789 59.293 60.734 62.098 63.370 64.535 65.572 66.465 67.192 67.737 68.083 68.220 - 35.946 37.646 39.357 41.078 42.805 44.536 46.267 47.993 49.711 51.416 53.101 54.760 56.385 57.969 59.501 60.970 62.362 63.662 64.853 65.917 66.832 67.579 68.138 68.492 68.631 - 35.826 37.546 39.277 41.018 42.766 44.519 46.271 48.021 49.762 51.490 53.199 54.884 56.536 58.146 59.706 61.203 62.623 63.952 65.170 66.260 67.198 67.965 68.539 68.902 69.043 - 35.702 37.442 39.193 40.955 42.724 44.498 46.272 48.044 49.808 51.560 53.294 55.004 56.682 58.320 59.907 61.432 62.881 64.238 65.485 66.601 67.564 68.351 68.940 69.313 69.455 - 35.575 37.335 39.106 40.889 42.679 44.474 46.270 48.064 49.851 51.627 53.385 55.120 56.825 58.490 60.105 61.658 63.136 64.523 65.798 66.941 67.929 68.737 69.342 69.724 69.867 - 35.447 37.225 39.016 40.819 42.630 44.446 46.264 48.080 49.890 51.689 53.472 55.233 56.963 58.655 60.299 61.881 63.388 64.804 66.108 67.279 68.292 69.122 69.744 70.135 70.280 - 35.314 37.112 38.923 40.746 42.577 44.414 46.254 48.092 49.925 51.748 53.556 55.342 57.098 58.817 60.489 62.100 63.637 65.082 66.416 67.616 68.655 69.507 70.146 70.547 70.693 - 35.179 36.996 38.827 40.670 42.522 44.380 46.241 48.101 49.957 51.803 53.635 55.446 57.229 58.975 60.675 62.315 63.882 65.358 66.722 67.951 69.017 69.892 70.548 70.959 71.107 - 35.040 36.877 38.727 40.590 42.462 44.341 46.224 48.106 49.985 51.854 53.711 55.547 57.356 59.129 60.857 62.527 64.124 65.630 67.025 68.283 69.377 70.276 70.950 71.371 71.520 - 34.898 36.754 38.625 40.507 42.400 44.300 46.203 48.108 50.008 51.902 53.782 55.643 57.478 59.279 61.035 62.735 64.362 65.900 67.326 68.614 69.737 70.660 71.353 71.785 71.935 - 34.754 36.629 38.519 40.421 42.334 44.254 46.179 48.105 50.029 51.945 53.849 55.735 57.597 59.425 61.209 62.938 64.596 66.165 67.623 68.943 70.094 71.043 71.755 72.198 72.349 - 34.606 36.500 38.410 40.332 42.265 44.206 46.151 48.099 50.045 51.984 53.912 55.824 57.711 59.566 61.379 63.138 64.827 66.428 67.918 69.270 70.451 71.426 72.158 72.612 72.764 - 34.455 36.368 38.298 40.239 42.192 44.153 46.120 48.089 50.057 52.019 53.971 55.908 57.821 59.703 61.545 63.334 65.054 66.687 68.210 69.594 70.806 71.808 72.561 73.027 73.179 - 34.301 36.233 38.183 40.143 42.116 44.097 46.085 48.075 50.065 52.051 54.026 55.987 57.927 59.836 61.706 63.525 65.276 66.942 68.498 69.916 71.159 72.189 72.963 73.442 73.595 - 34.143 36.095 38.064 40.044 42.036 44.038 46.046 48.058 50.070 52.078 54.077 56.063 58.028 59.964 61.863 63.712 65.495 67.193 68.783 70.235 71.511 72.570 73.366 73.858 74.011 - 33.983 35.953 37.942 39.941 41.953 43.975 46.004 48.037 50.070 52.101 54.124 56.134 58.124 60.088 62.015 63.894 65.709 67.441 69.065 70.551 71.861 72.950 73.769 74.274 74.427 - 33.820 35.809 37.816 39.835 41.867 43.909 45.958 48.011 50.067 52.120 54.166 56.200 58.217 60.207 62.163 64.072 65.918 67.684 69.343 70.864 72.208 73.328 74.172 74.690 74.844 - 33.653 35.661 37.688 39.726 41.777 43.839 45.908 47.983 50.059 52.134 54.204 56.262 58.304 60.322 62.306 64.245 66.123 67.923 69.617 71.175 72.554 73.706 74.576 75.108 75.261 - 33.484 35.512 37.556 39.613 41.684 43.765 45.854 47.950 50.048 52.145 54.237 56.320 58.387 60.431 62.444 64.413 66.324 68.157 69.887 71.481 72.897 74.083 74.978 75.525 75.678 - 33.311 35.358 37.421 39.497 41.587 43.688 45.797 47.913 50.032 52.151 54.267 56.373 58.465 60.536 62.577 64.576 66.519 68.387 70.153 71.785 73.238 74.458 75.381 75.944 76.096 - 33.136 35.201 37.282 39.378 41.487 43.607 45.736 47.873 50.013 52.154 54.291 56.422 58.539 60.636 62.705 64.734 66.710 68.612 70.415 72.085 73.577 74.832 75.784 76.363 76.514 - 32.957 35.041 37.141 39.255 41.383 43.523 45.672 47.828 49.989 52.152 54.312 56.466 58.608 60.731 62.828 64.887 66.895 68.831 70.672 72.381 73.912 75.205 76.187 76.782 76.932 - 32.775 34.878 36.996 39.129 41.276 43.435 45.604 47.780 49.962 52.145 54.328 56.505 58.672 60.821 62.946 65.035 67.075 69.046 70.924 72.673 74.244 75.576 76.589 77.203 77.350 - 32.590 34.711 36.848 39.000 41.166 43.344 45.532 47.728 49.930 52.135 54.339 56.540 58.731 60.906 63.058 65.177 67.249 69.256 71.171 72.960 74.573 75.945 76.991 77.623 77.769 - 32.402 34.542 36.697 38.868 41.052 43.249 45.456 47.672 49.894 52.120 54.346 56.570 58.785 60.986 63.166 65.314 67.418 69.460 71.413 73.243 74.899 76.312 77.393 78.045 78.187 - 32.211 34.369 36.542 38.732 40.935 43.150 45.376 47.612 49.854 52.101 54.349 56.595 58.834 61.060 63.267 65.445 67.581 69.658 71.650 73.521 75.221 76.677 77.794 78.467 78.606 - 32.016 34.193 36.385 38.593 40.814 43.048 45.293 47.548 49.810 52.078 54.347 56.615 58.878 61.130 63.364 65.571 67.739 69.850 71.880 73.794 75.539 77.039 78.195 78.889 79.025 - 31.819 34.014 36.224 38.450 40.690 42.942 45.206 47.480 49.762 52.050 54.341 56.631 58.917 61.193 63.454 65.690 67.890 70.036 72.105 74.061 75.852 77.399 78.595 79.313 79.443 - 31.618 33.832 36.059 38.304 40.562 42.833 45.116 47.409 49.710 52.018 54.330 56.642 58.951 61.252 63.539 65.804 68.035 70.216 72.324 74.323 76.160 77.755 78.994 79.736 79.862 - 31.414 33.646 35.892 38.156 40.431 42.720 45.021 47.333 49.654 51.982 54.314 56.648 58.980 61.305 63.618 65.911 68.174 70.389 72.536 74.579 76.464 78.109 79.392 80.161 80.280 - 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49.329 49.306 49.257 49.182 49.082 48.957 48.809 48.638 48.445 48.231 47.997 47.743 47.471 47.181 46.876 46.554 46.218 - 49.575 49.553 49.503 49.425 49.321 49.190 49.034 48.854 48.650 48.424 48.176 47.907 47.619 47.313 46.989 46.648 46.292 - 50.021 49.994 49.938 49.853 49.740 49.599 49.432 49.240 49.023 48.783 48.520 48.236 47.931 47.608 47.266 46.908 46.534 - 50.460 50.429 50.367 50.274 50.152 50.002 49.824 49.620 49.390 49.135 48.857 48.557 48.236 47.895 47.536 47.159 46.766 - 50.895 50.859 50.790 50.691 50.560 50.400 50.211 49.994 49.751 49.482 49.188 48.872 48.534 48.175 47.798 47.403 46.991 - 51.324 51.284 51.210 51.103 50.964 50.794 50.593 50.364 50.107 49.823 49.514 49.181 48.826 48.450 48.054 47.640 47.210 - 51.750 51.705 51.626 51.511 51.364 51.184 50.972 50.730 50.459 50.160 49.836 49.486 49.113 48.719 48.304 47.871 47.421 - 52.173 52.124 52.038 51.917 51.761 51.570 51.347 51.092 50.807 50.494 50.153 49.786 49.396 48.983 48.550 48.097 47.628 - 52.593 52.540 52.449 52.320 52.154 51.954 51.719 51.451 51.152 50.823 50.466 50.082 49.674 49.243 48.790 48.318 47.829 - 53.011 52.954 52.856 52.720 52.546 52.335 52.088 51.807 51.494 51.149 50.776 50.375 49.948 49.498 49.026 48.534 48.025 - 53.427 53.365 53.262 53.119 52.935 52.714 52.455 52.161 51.833 51.473 51.082 50.663 50.218 49.749 49.257 48.746 48.216 - 53.841 53.776 53.667 53.515 53.323 53.090 52.819 52.512 52.169 51.793 51.385 50.949 50.485 49.996 49.485 48.953 48.403 - 54.254 54.184 54.069 53.910 53.708 53.465 53.182 52.860 52.502 52.110 51.685 51.231 50.748 50.240 49.709 49.156 48.585 - 54.666 54.591 54.470 54.304 54.092 53.838 53.542 53.207 52.833 52.425 51.983 51.510 51.008 50.480 49.929 49.356 48.763 - 55.076 54.997 54.870 54.696 54.475 54.209 53.901 53.551 53.162 52.737 52.277 51.785 51.265 50.717 50.145 49.551 48.938 - 55.485 55.402 55.269 55.087 54.856 54.579 54.257 53.893 53.489 53.046 52.569 52.058 51.518 50.950 50.357 49.742 49.108 - 55.893 55.806 55.667 55.476 55.236 54.947 54.612 54.233 53.813 53.353 52.858 52.328 51.768 51.180 50.566 49.930 49.275 - 56.301 56.209 56.064 55.865 55.614 55.314 54.965 54.572 54.135 53.658 53.144 52.595 52.015 51.406 50.772 50.114 49.437 - 56.708 56.612 56.460 56.252 55.991 55.679 55.317 54.908 54.455 53.961 53.428 52.860 52.259 51.630 50.974 50.295 49.596 - 57.114 57.014 56.855 56.639 56.368 56.043 55.667 55.243 54.773 54.261 53.709 53.121 52.500 51.850 51.172 50.472 49.751 - 57.520 57.415 57.250 57.025 56.743 56.406 56.015 55.576 55.089 54.558 53.987 53.380 52.738 52.066 51.368 50.645 49.903 - 57.925 57.816 57.643 57.410 57.117 56.767 56.362 55.907 55.403 54.854 54.263 53.635 52.973 52.280 51.559 50.815 50.050 - 58.330 58.216 58.037 57.794 57.490 57.127 56.708 56.236 55.714 55.147 54.537 53.888 53.205 52.490 51.748 50.981 50.194 - 58.734 58.615 58.429 58.178 57.862 57.486 57.052 56.563 56.024 55.437 54.808 54.138 53.433 52.697 51.933 51.144 50.334 - 59.138 59.015 58.821 58.560 58.233 57.844 57.394 56.889 56.332 55.726 55.076 54.386 53.659 52.901 52.114 51.303 50.471 - 59.542 59.414 59.213 58.942 58.604 58.200 57.735 57.213 56.637 56.012 55.341 54.630 53.882 53.101 52.292 51.458 50.604 - 59.945 59.812 59.604 59.324 58.973 58.556 58.075 57.535 56.941 56.295 55.604 54.871 54.101 53.298 52.467 51.610 50.733 - 60.349 60.210 59.995 59.704 59.341 58.910 58.413 57.856 57.242 56.577 55.864 55.110 54.318 53.492 52.638 51.759 50.859 - 60.752 60.608 60.385 60.084 59.709 59.263 58.750 58.174 57.541 56.855 56.122 55.346 54.531 53.683 52.805 51.903 50.980 - 61.155 61.006 60.775 60.464 60.076 59.614 59.084 58.491 57.838 57.132 56.377 55.578 54.741 53.870 52.969 52.044 51.098 - 61.558 61.404 61.165 60.843 60.441 59.965 59.418 58.806 58.133 57.406 56.629 55.808 54.948 54.053 53.130 52.182 51.213 - 61.960 61.801 61.554 61.221 60.806 60.314 59.750 59.118 58.426 57.677 56.878 56.034 55.151 54.234 53.287 52.315 51.323 - 62.363 62.198 61.942 61.598 61.170 60.662 60.080 59.429 58.716 57.945 57.124 56.258 55.351 54.410 53.440 52.445 51.430 - 62.766 62.595 62.331 61.975 61.533 61.009 60.408 59.738 59.004 58.211 57.368 56.478 55.548 54.584 53.590 52.571 51.533 - 63.168 62.992 62.719 62.351 61.895 61.354 60.735 60.045 59.289 58.475 57.608 56.695 55.741 54.753 53.736 52.694 51.632 - 63.571 63.389 63.106 62.727 62.255 61.698 61.060 60.350 59.572 58.735 57.845 56.909 55.931 54.919 53.878 52.812 51.727 - 63.974 63.785 63.493 63.102 62.615 62.040 61.384 60.652 59.853 58.993 58.080 57.119 56.118 55.082 54.016 52.927 51.818 - 64.376 64.182 63.880 63.476 62.974 62.382 61.705 60.952 60.131 59.248 58.311 57.326 56.301 55.240 54.151 53.038 51.905 - 64.779 64.578 64.267 63.849 63.332 62.721 62.025 61.250 60.406 59.500 58.538 57.530 56.480 55.395 54.282 53.144 51.989 - 65.182 64.974 64.653 64.222 63.689 63.059 62.342 61.546 60.679 59.749 58.763 57.730 56.655 55.546 54.408 53.247 52.068 - 65.584 65.371 65.039 64.594 64.044 63.396 62.658 61.840 60.949 59.994 58.984 57.926 56.827 55.693 54.531 53.346 52.143 - 65.987 65.767 65.424 64.966 64.398 63.731 62.972 62.130 61.216 60.237 59.202 58.119 56.995 55.837 54.650 53.441 52.215 - 66.390 66.163 65.809 65.336 64.752 64.064 63.283 62.419 61.480 60.476 59.417 58.308 57.159 55.976 54.765 53.532 52.282 - 66.793 66.558 66.194 65.706 65.103 64.396 63.593 62.704 61.741 60.713 59.627 58.494 57.320 56.112 54.876 53.619 52.345 - 67.197 66.954 66.578 66.075 65.454 64.725 63.900 62.988 61.999 60.945 59.834 58.675 57.476 56.243 54.983 53.702 52.404 - 67.600 67.350 66.962 66.443 65.803 65.053 64.204 63.268 62.254 61.175 60.038 58.853 57.628 56.370 55.086 53.780 52.459 - 68.003 67.746 67.345 66.810 66.151 65.379 64.507 63.545 62.506 61.400 60.238 59.027 57.776 56.493 55.184 53.854 52.510 - 68.407 68.141 67.728 67.176 66.497 65.703 64.806 63.820 62.755 61.622 60.433 59.197 57.920 56.612 55.278 53.925 52.557 - 68.811 68.537 68.110 67.541 66.842 66.025 65.104 64.091 63.000 61.841 60.625 59.362 58.060 56.727 55.368 53.990 52.599 - 69.215 68.932 68.492 67.906 67.185 66.345 65.398 64.359 63.241 62.055 60.813 59.524 58.196 56.837 55.454 54.052 52.637 - 69.619 69.327 68.873 68.269 67.527 66.662 65.690 64.624 63.479 62.266 60.997 59.681 58.327 56.943 55.535 54.109 52.671 - 70.023 69.722 69.254 68.631 67.866 66.977 65.978 64.886 63.713 62.473 61.176 59.834 58.454 57.044 55.612 54.162 52.701 - 70.428 70.117 69.634 68.991 68.204 67.290 66.264 65.144 63.943 62.675 61.352 59.982 58.576 57.142 55.684 54.211 52.726 - 70.833 70.512 70.014 69.351 68.540 67.599 66.547 65.398 64.170 62.874 61.523 60.126 58.694 57.234 55.752 54.255 52.747 - 71.238 70.907 70.392 69.709 68.874 67.907 66.826 65.649 64.392 63.068 61.689 60.266 58.808 57.322 55.816 54.295 52.764 - 71.643 71.302 70.770 70.065 69.205 68.211 67.102 65.896 64.610 63.257 61.851 60.401 58.917 57.406 55.875 54.330 52.776 - 72.048 71.696 71.147 70.420 69.535 68.513 67.375 66.139 64.824 63.443 62.008 60.531 59.021 57.484 55.929 54.361 52.784 - 72.454 72.090 71.524 70.773 69.862 68.811 67.643 66.378 65.033 63.623 62.161 60.657 59.120 57.558 55.979 54.387 52.787 - 72.859 72.484 71.899 71.125 70.186 69.106 67.908 66.613 65.238 63.799 62.308 60.777 59.214 57.628 56.024 54.409 52.786 - 73.265 72.878 72.273 71.475 70.508 69.398 68.170 66.844 65.439 63.970 62.451 60.893 59.304 57.692 56.064 54.426 52.781 - 73.672 73.271 72.647 71.823 70.827 69.686 68.427 67.070 65.634 64.136 62.589 61.004 59.389 57.752 56.100 54.438 52.771 - 74.078 73.664 73.019 72.168 71.143 69.971 68.679 67.291 65.825 64.298 62.722 61.109 59.468 57.807 56.131 54.446 52.757 - 74.485 74.057 73.390 72.512 71.456 70.252 68.928 67.507 66.011 64.454 62.850 61.210 59.543 57.857 56.157 54.450 52.738 - 74.892 74.449 73.759 72.853 71.765 70.528 69.171 67.719 66.191 64.604 62.972 61.305 59.613 57.902 56.179 54.448 52.715 - 75.299 74.841 74.127 73.192 72.071 70.801 69.410 67.925 66.366 64.750 63.089 61.396 59.677 57.942 56.195 54.442 52.687 - 75.706 75.232 74.494 73.528 72.374 71.069 69.644 68.126 66.536 64.890 63.201 61.480 59.737 57.977 56.207 54.432 52.655 - 76.113 75.623 74.858 73.861 72.672 71.332 69.873 68.322 66.700 65.024 63.307 61.560 59.791 58.007 56.214 54.416 52.619 - 76.521 76.013 75.221 74.191 72.967 71.591 70.097 68.512 66.859 65.153 63.408 61.634 59.840 58.032 56.216 54.396 52.577 - 76.929 76.402 75.582 74.517 73.257 71.844 70.315 68.697 67.011 65.276 63.503 61.702 59.883 58.052 56.213 54.372 52.532 - 77.337 76.791 75.941 74.840 73.542 72.093 70.527 68.875 67.158 65.393 63.592 61.765 59.922 58.066 56.205 54.342 52.481 - 77.745 77.178 76.297 75.160 73.823 72.335 70.734 69.048 67.299 65.504 63.675 61.823 59.954 58.076 56.192 54.308 52.426 - 78.154 77.565 76.650 75.475 74.099 72.572 70.934 69.214 67.433 65.609 63.753 61.875 59.982 58.080 56.175 54.269 52.367 - 78.562 77.950 77.001 75.785 74.369 72.803 71.128 69.373 67.561 65.708 63.824 61.921 60.004 58.079 56.152 54.225 52.303 - 78.971 78.334 77.348 76.092 74.633 73.027 71.315 69.527 67.683 65.800 63.890 61.961 60.020 58.073 56.124 54.177 52.235 - 79.380 78.716 77.692 76.393 74.891 73.245 71.496 69.673 67.798 65.886 63.949 61.995 60.031 58.062 56.092 54.124 52.162 - 79.789 79.096 78.032 76.688 75.143 73.456 71.669 69.812 67.906 65.966 64.003 62.024 60.036 58.045 56.054 54.066 52.084 - 80.197 79.475 78.368 76.978 75.388 73.659 71.835 69.944 68.008 66.039 64.050 62.047 60.036 58.023 56.011 54.003 52.002 - 80.606 79.851 78.700 77.261 75.626 73.855 71.994 70.069 68.102 66.106 64.091 62.063 60.030 57.996 55.963 53.936 51.916 - 81.014 80.225 79.026 77.538 75.856 74.044 72.145 70.187 68.190 66.166 64.125 62.074 60.019 57.963 55.911 53.864 51.825 - 81.423 80.596 79.347 77.807 76.078 74.224 72.288 70.297 68.270 66.219 64.153 62.079 60.002 57.926 55.853 53.787 51.729 - 81.831 80.963 79.661 78.069 76.292 74.396 72.422 70.399 68.343 66.265 64.175 62.078 59.979 57.883 55.790 53.705 51.629 - 82.238 81.327 79.969 78.322 76.497 74.559 72.549 70.493 68.408 66.304 64.190 62.071 59.951 57.834 55.723 53.619 51.525 - 82.645 81.686 80.269 78.567 76.692 74.712 72.667 70.579 68.466 66.337 64.199 62.058 59.917 57.780 55.650 53.528 51.416 - 83.051 82.041 80.561 78.802 76.878 74.857 72.776 70.657 68.516 66.362 64.201 62.038 59.878 57.721 55.572 53.432 51.302 - 83.456 82.389 80.844 79.026 77.054 74.992 72.876 70.727 68.559 66.380 64.197 62.013 59.832 57.657 55.490 53.332 51.184 - 83.860 82.731 81.117 79.240 77.219 75.117 72.966 70.788 68.594 66.391 64.186 61.982 59.781 57.587 55.402 53.226 51.062 - 84.262 83.064 81.379 79.442 77.373 75.231 73.048 70.841 68.621 66.395 64.168 61.944 59.725 57.513 55.309 53.117 50.935 - 84.661 83.389 81.629 79.632 77.515 75.335 73.120 70.885 68.640 66.392 64.144 61.900 59.662 57.432 55.212 53.002 50.804 - 85.058 83.703 81.865 79.808 77.645 75.428 73.182 70.920 68.652 66.382 64.114 61.851 59.594 57.347 55.109 52.883 50.668 - 85.450 84.004 82.087 79.971 77.763 75.510 73.234 70.947 68.655 66.364 64.076 61.795 59.521 57.256 55.002 52.759 50.528 - 85.838 84.291 82.293 80.119 77.868 75.581 73.276 70.964 68.650 66.339 64.032 61.733 59.442 57.160 54.889 52.631 50.384 - 86.218 84.561 82.481 80.251 77.959 75.640 73.308 70.973 68.638 66.307 63.982 61.665 59.357 57.059 54.772 52.497 50.235 - 86.589 84.811 82.651 80.368 78.037 75.687 73.330 70.972 68.617 66.267 63.925 61.591 59.266 56.953 54.650 52.360 50.082 - 86.947 85.039 82.800 80.467 78.101 75.723 73.342 70.963 68.588 66.221 63.861 61.511 59.170 56.841 54.523 52.218 49.925 - 87.286 85.240 82.928 80.550 78.151 75.747 73.343 70.944 68.551 66.167 63.791 61.424 59.069 56.724 54.391 52.071 49.763 - 87.598 85.411 83.032 80.614 78.186 75.758 73.334 70.916 68.507 66.105 63.714 61.332 58.962 56.602 54.255 51.920 49.597 - 87.870 85.548 83.113 80.660 78.206 75.757 73.314 70.880 68.454 66.037 63.630 61.234 58.849 56.475 54.114 51.764 49.427 diff --git a/pydarn/radar_fov_files/040_lons.txt b/pydarn/radar_fov_files/040_lons.txt deleted file mode 100644 index 6c43a42e0..000000000 --- a/pydarn/radar_fov_files/040_lons.txt +++ /dev/null @@ -1,111 +0,0 @@ - 143.366 143.481 143.592 143.698 143.802 143.901 143.997 144.088 144.176 144.259 144.337 144.411 144.478 144.540 144.595 144.643 144.683 - 143.504 143.644 143.781 143.916 144.047 144.175 144.298 144.418 144.533 144.644 144.749 144.848 144.941 145.028 145.108 145.181 145.246 - 143.617 143.787 143.954 144.118 144.279 144.437 144.590 144.739 144.882 145.019 145.151 145.276 145.392 145.502 145.604 145.698 145.784 - 143.701 143.902 144.101 144.297 144.489 144.677 144.861 145.039 145.210 145.375 145.533 145.683 145.825 145.958 146.082 146.194 146.298 - 143.772 144.006 144.238 144.466 144.691 144.910 145.124 145.331 145.532 145.725 145.909 146.084 146.250 146.405 146.550 146.683 146.805 - 143.837 144.105 144.370 144.631 144.888 145.139 145.384 145.622 145.851 146.072 146.282 146.483 146.672 146.850 147.015 147.168 147.307 - 143.898 144.200 144.499 144.794 145.084 145.367 145.643 145.911 146.170 146.419 146.656 146.882 147.095 147.295 147.480 147.652 147.808 - 143.957 144.293 144.627 144.956 145.279 145.596 145.904 146.202 146.490 146.767 147.031 147.282 147.519 147.741 147.947 148.136 148.309 - 144.014 144.386 144.755 145.118 145.476 145.825 146.165 146.495 146.813 147.118 147.409 147.685 147.945 148.189 148.415 148.623 148.812 - 144.070 144.478 144.883 145.282 145.673 146.056 146.429 146.790 147.138 147.471 147.789 148.091 148.375 148.640 148.886 149.112 149.318 - 144.125 144.570 145.011 145.446 145.873 146.290 146.695 147.088 147.466 147.828 148.173 148.500 148.807 149.094 149.360 149.604 149.826 - 144.103 144.583 145.057 145.524 145.983 146.430 146.865 147.286 147.690 148.078 148.446 148.795 149.122 149.427 149.709 149.966 150.200 - 144.035 144.548 145.055 145.555 146.044 146.521 146.985 147.432 147.862 148.273 148.664 149.032 149.378 149.699 149.995 150.264 150.507 - 143.937 144.484 145.024 145.556 146.076 146.583 147.074 147.548 148.003 148.437 148.849 149.237 149.600 149.936 150.245 150.525 150.776 - 143.812 144.393 144.967 145.530 146.081 146.617 147.136 147.637 148.116 148.573 149.005 149.412 149.791 150.141 150.462 150.752 151.010 - 143.763 144.380 144.988 145.585 146.168 146.735 147.284 147.813 148.319 148.800 149.255 149.682 150.080 150.447 150.781 151.083 151.351 - 143.863 144.517 145.162 145.795 146.414 147.016 147.598 148.158 148.695 149.204 149.686 150.138 150.559 150.947 151.301 151.620 151.902 - 143.959 144.651 145.334 146.004 146.659 147.295 147.911 148.504 149.071 149.609 150.118 150.595 151.038 151.447 151.819 152.155 152.453 - 144.052 144.782 145.503 146.211 146.903 147.575 148.225 148.850 149.448 150.015 150.551 151.052 151.518 151.947 152.338 152.690 153.002 - 144.142 144.912 145.672 146.418 147.147 147.856 148.540 149.198 149.827 150.423 150.985 151.512 152.000 152.450 152.859 153.227 153.552 - 144.229 145.040 145.840 146.626 147.393 148.138 148.857 149.549 150.208 150.834 151.423 151.974 152.485 152.954 153.381 153.764 154.103 - 144.315 145.167 146.008 146.834 147.639 148.422 149.177 149.901 150.592 151.247 151.863 152.439 152.972 153.461 153.905 154.303 154.655 - 144.400 145.294 146.177 147.043 147.888 148.708 149.499 150.257 150.980 151.664 152.307 152.907 153.462 153.971 154.432 154.845 155.209 - 144.484 145.421 146.346 147.254 148.139 148.997 149.824 150.617 151.372 152.085 152.755 153.379 153.956 154.484 154.961 155.389 155.765 - 144.567 145.548 146.517 147.466 148.392 149.289 150.153 150.980 151.767 152.510 153.207 153.855 154.453 155.000 155.494 155.935 156.323 - 144.649 145.676 146.688 147.681 148.648 149.584 150.486 151.348 152.167 152.940 153.663 154.336 154.955 155.520 156.030 156.485 156.883 - 144.731 145.804 146.861 147.898 148.907 149.883 150.823 151.720 152.571 153.374 154.124 154.821 155.461 156.045 156.570 157.038 157.446 - 144.813 145.933 147.036 148.117 149.169 150.186 151.164 152.096 152.981 153.813 154.590 155.310 155.972 156.573 157.114 157.593 158.012 - 144.895 146.063 147.213 148.339 149.435 150.493 151.509 152.478 153.395 154.257 155.061 155.805 156.487 157.106 157.661 158.153 158.581 - 144.978 146.194 147.392 148.565 149.704 150.805 151.860 152.865 153.815 154.707 155.537 156.305 157.007 157.643 158.212 158.716 159.153 - 145.060 146.327 147.574 148.793 149.978 151.121 152.215 153.257 154.240 155.162 156.019 156.809 157.532 158.184 158.768 159.282 159.727 - 145.143 146.461 147.758 149.025 150.256 151.441 152.576 153.654 154.671 155.623 156.507 157.320 158.062 158.731 159.327 159.852 160.305 - 145.226 146.596 147.944 149.261 150.538 151.767 152.943 154.058 155.108 156.090 157.000 157.836 158.597 159.282 159.891 160.426 160.886 - 145.310 146.734 148.134 149.500 150.825 152.099 153.315 154.468 155.552 156.563 157.499 158.358 159.137 159.838 160.460 161.003 161.470 - 145.394 146.873 148.326 149.744 151.116 152.435 153.693 154.884 156.001 157.043 158.005 158.885 159.683 160.399 161.032 161.585 162.058 - 145.480 147.014 148.522 149.991 151.413 152.778 154.077 155.306 156.458 157.529 158.516 159.419 160.235 160.965 161.610 162.170 162.648 - 145.566 147.157 148.721 150.243 151.715 153.126 154.468 155.735 156.921 158.022 159.035 159.959 160.792 161.536 162.191 162.759 163.242 - 145.653 147.303 148.923 150.500 152.022 153.481 154.866 156.171 157.391 158.521 159.560 160.504 161.355 162.113 162.778 163.353 163.839 - 145.740 147.451 149.129 150.761 152.336 153.842 155.270 156.614 157.868 159.028 160.091 161.057 161.924 162.694 163.369 163.950 164.440 - 145.829 147.602 149.339 151.028 152.655 154.209 155.682 157.065 158.353 159.542 160.630 161.616 162.499 163.281 163.964 164.551 165.044 - 145.919 147.755 149.553 151.300 152.980 154.584 156.101 157.523 158.845 160.064 161.176 162.181 163.080 163.873 164.565 165.156 165.651 - 146.010 147.911 149.772 151.577 153.312 154.966 156.528 157.989 159.346 160.593 161.729 162.753 163.666 164.471 165.169 165.765 166.261 - 146.103 148.070 149.994 151.860 153.651 155.355 156.962 158.463 159.854 161.130 162.289 163.332 164.259 165.074 165.779 166.378 166.874 - 146.196 148.232 150.222 152.149 153.997 155.752 157.405 158.946 160.370 161.674 162.856 163.917 164.859 165.683 166.393 166.995 167.491 - 146.291 148.397 150.454 152.444 154.349 156.157 157.856 159.437 160.895 162.227 163.432 164.510 165.464 166.297 167.012 167.616 168.111 - 146.388 148.565 150.691 152.745 154.710 156.570 158.316 159.937 161.428 162.788 164.015 165.110 166.076 166.916 167.636 168.240 168.734 - 146.486 148.737 150.934 153.053 155.078 156.992 158.784 160.445 161.971 163.357 164.605 165.716 166.694 167.541 168.265 168.869 169.360 - 146.586 148.913 151.182 153.369 155.454 157.423 159.262 160.964 162.522 163.935 165.204 166.330 167.318 168.172 168.898 169.501 169.989 - 146.687 149.093 151.436 153.691 155.839 157.863 159.750 161.491 163.083 164.522 165.811 166.952 167.949 168.808 169.535 170.137 170.621 - 146.790 149.276 151.695 154.021 156.233 158.312 160.247 162.029 163.653 165.118 166.426 167.580 168.586 169.450 170.178 170.777 171.256 - 146.895 149.464 151.962 154.360 156.636 158.771 160.754 162.576 164.232 165.722 167.049 168.216 169.230 170.097 170.824 171.421 171.893 - 147.002 149.657 152.234 154.706 157.048 159.241 161.272 163.134 164.822 166.336 167.681 168.859 169.880 170.749 171.476 172.068 172.534 - 147.112 149.854 152.514 155.061 157.470 159.721 161.801 163.702 165.422 166.960 168.321 169.510 170.536 171.407 172.132 172.719 173.177 - 147.223 150.056 152.801 155.425 157.902 160.212 162.341 164.282 166.031 167.592 168.969 170.169 171.199 172.071 172.792 173.373 173.823 - 147.337 150.263 153.095 155.799 158.345 160.714 162.892 164.872 166.652 168.235 169.626 170.835 171.869 172.740 173.457 174.031 174.471 - 147.453 150.476 153.398 156.182 158.799 161.228 163.455 165.474 167.283 168.887 170.292 171.508 172.545 173.414 174.126 174.692 175.122 - 147.571 150.694 153.708 156.576 159.265 161.754 164.030 166.087 167.925 169.549 170.967 172.189 173.227 174.093 174.799 175.356 175.775 - 147.693 150.918 154.028 156.980 159.742 162.293 164.618 166.713 168.579 170.222 171.651 172.878 173.916 174.778 175.476 176.023 176.431 - 147.817 151.149 154.356 157.395 160.232 162.844 165.219 167.351 169.243 170.904 172.344 173.575 174.612 175.468 176.158 176.694 177.088 - 147.944 151.386 154.694 157.823 160.735 163.410 165.833 168.001 169.920 171.597 173.045 174.279 175.313 176.163 176.843 177.367 177.748 - 148.075 151.630 155.043 158.262 161.252 163.989 166.460 168.665 170.608 172.300 173.756 174.991 176.021 176.863 177.533 178.044 178.410 - 148.208 151.882 155.401 158.715 161.783 164.582 167.102 169.341 171.308 173.014 174.476 175.710 176.735 177.568 178.226 178.723 179.074 - 148.345 152.141 155.771 159.180 162.328 165.191 167.758 170.031 172.020 173.738 175.205 176.437 177.456 178.278 178.923 179.405 179.739 - 148.486 152.409 156.153 159.660 162.889 165.815 168.429 170.735 172.745 174.474 175.943 177.172 178.182 178.993 179.623 -179.911 -179.594 - 148.631 152.685 156.547 160.155 163.465 166.455 169.116 171.453 173.482 175.220 176.690 177.914 178.915 179.713 -179.673 -179.224 -178.925 - 148.780 152.970 156.954 160.665 164.059 167.112 169.818 172.186 174.231 175.977 177.446 178.664 179.653 -179.563 -178.965 -178.535 -178.255 - 148.933 153.265 157.375 161.192 164.669 167.785 170.536 172.933 174.994 176.745 178.211 179.421 -179.603 -178.835 -178.254 -177.843 -177.584 - 149.091 153.571 157.810 161.735 165.298 168.477 171.271 173.695 175.770 177.524 178.986 -179.815 -178.853 -178.102 -177.541 -177.150 -176.912 - 149.255 153.887 158.261 162.296 165.945 169.187 172.023 174.472 176.558 178.314 179.770 -179.044 -178.097 -177.365 -176.824 -176.454 -176.238 - 149.423 154.215 158.728 162.877 166.612 169.916 172.793 175.265 177.361 179.115 -179.438 -178.265 -177.336 -176.623 -176.104 -175.757 -175.563 - 149.597 154.556 159.212 163.477 167.300 170.665 173.581 176.073 178.176 179.927 -178.636 -177.479 -176.569 -175.878 -175.382 -175.058 -174.888 - 149.777 154.909 159.714 164.097 168.008 171.434 174.387 176.898 179.005 -179.250 -177.826 -176.686 -175.797 -175.130 -174.657 -174.357 -174.212 - 149.964 155.277 160.236 164.740 168.740 172.224 175.212 177.738 179.848 -178.415 -177.007 -175.887 -175.021 -174.377 -173.930 -173.656 -173.536 - 150.157 155.660 160.778 165.406 169.494 173.036 176.056 178.596 -179.296 -177.570 -176.179 -175.081 -174.239 -173.621 -173.200 -172.952 -172.859 - 150.358 156.059 161.342 166.096 170.272 173.870 176.920 179.470 -178.426 -176.713 -175.342 -174.268 -173.452 -172.862 -172.468 -172.248 -172.181 - 150.567 156.475 161.928 166.811 171.076 174.727 177.804 -179.640 -177.542 -175.846 -174.497 -173.449 -172.661 -172.099 -171.735 -171.543 -171.504 - 150.785 156.910 162.540 167.554 171.906 175.608 178.708 -178.732 -176.645 -174.968 -173.644 -172.624 -171.866 -171.334 -170.999 -170.837 -170.826 - 151.012 157.365 163.178 168.324 172.763 176.514 179.634 -177.806 -175.733 -174.079 -172.783 -171.793 -171.066 -170.566 -170.263 -170.130 -170.149 - 151.249 157.841 163.843 169.125 173.649 177.445 -179.419 -176.864 -174.808 -173.179 -171.913 -170.956 -170.263 -169.796 -169.524 -169.423 -169.472 - 151.497 158.340 164.539 169.957 174.564 178.402 -178.451 -175.904 -173.870 -172.270 -171.036 -170.114 -169.455 -169.023 -168.785 -168.716 -168.795 - 151.757 158.864 165.267 170.822 175.510 179.385 -177.461 -174.927 -172.917 -171.349 -170.152 -169.266 -168.644 -168.247 -168.044 -168.008 -168.119 - 152.030 159.416 166.028 171.723 176.489 -179.604 -176.448 -173.932 -171.952 -170.419 -169.260 -168.413 -167.830 -167.470 -167.303 -167.301 -167.444 - 152.318 159.996 166.826 172.660 177.500 -178.565 -175.412 -172.919 -170.973 -169.479 -168.361 -167.556 -167.012 -166.691 -166.560 -166.593 -166.769 - 152.620 160.609 167.663 173.636 178.547 -177.497 -174.354 -171.889 -169.981 -168.530 -167.456 -166.693 -166.192 -165.911 -165.818 -165.886 -166.095 - 152.940 161.256 168.542 174.654 179.629 -176.400 -173.273 -170.842 -168.976 -167.571 -166.544 -165.827 -165.369 -165.129 -165.075 -165.179 -165.422 - 153.279 161.941 169.466 175.715 -179.251 -175.273 -172.169 -169.777 -167.959 -166.603 -165.625 -164.956 -164.544 -164.347 -164.332 -164.473 -164.751 - 153.638 162.667 170.439 176.821 -178.093 -174.115 -171.042 -168.695 -166.929 -165.627 -164.701 -164.082 -163.717 -163.563 -163.588 -163.768 -164.081 - 154.021 163.438 171.463 177.975 -176.896 -172.927 -169.892 -167.597 -165.887 -164.642 -163.772 -163.205 -162.887 -162.778 -162.846 -163.063 -163.412 - 154.430 164.260 172.543 179.180 -175.657 -171.707 -168.719 -166.482 -164.833 -163.650 -162.837 -162.324 -162.056 -161.994 -162.103 -162.360 -162.745 - 154.867 165.136 173.683 -179.562 -174.376 -170.456 -167.522 -165.350 -163.769 -162.649 -161.897 -161.440 -161.224 -161.209 -161.361 -161.658 -162.079 - 155.338 166.072 174.888 -178.248 -173.052 -169.173 -166.303 -164.203 -162.693 -161.642 -160.953 -160.554 -160.391 -160.424 -160.620 -160.957 -161.416 - 155.845 167.076 176.162 -176.876 -171.684 -167.858 -165.062 -163.040 -161.607 -160.628 -160.005 -159.666 -159.557 -159.639 -159.880 -160.258 -160.754 - 156.393 168.153 177.511 -175.444 -170.271 -166.511 -163.799 -161.863 -160.512 -159.608 -159.053 -158.776 -158.723 -158.855 -159.142 -159.561 -160.094 - 156.990 169.313 178.941 -173.947 -168.811 -165.133 -162.514 -160.671 -159.406 -158.582 -158.098 -157.884 -157.888 -158.071 -158.404 -158.865 -159.437 - 157.641 170.565 -179.544 -172.385 -167.305 -163.722 -161.208 -159.465 -158.293 -157.550 -157.140 -156.991 -157.053 -157.288 -157.668 -158.172 -158.782 - 158.356 171.919 -177.935 -170.754 -165.753 -162.281 -159.881 -158.246 -157.171 -156.514 -156.179 -156.098 -156.219 -156.507 -156.934 -157.480 -158.129 - 159.145 173.389 -176.228 -169.052 -164.153 -160.809 -158.535 -157.015 -156.041 -155.474 -155.217 -155.204 -155.385 -155.727 -156.202 -156.791 -157.479 - 160.020 174.987 -174.414 -167.277 -162.506 -159.307 -157.171 -155.773 -154.905 -154.430 -154.253 -154.309 -154.552 -154.948 -155.471 -156.104 -156.832 - 160.998 176.730 -172.487 -165.428 -160.812 -157.777 -155.788 -154.520 -153.763 -153.383 -153.288 -153.415 -153.721 -154.171 -154.743 -155.420 -156.187 - 162.099 178.635 -170.441 -163.503 -159.073 -156.218 -154.389 -153.257 -152.615 -152.333 -152.322 -152.522 -152.890 -153.396 -154.018 -154.738 -155.545 - 163.348 -179.277 -168.268 -161.503 -157.289 -154.633 -152.975 -151.985 -151.463 -151.281 -151.356 -151.630 -152.062 -152.624 -153.295 -154.059 -154.906 - 164.777 -176.983 -165.962 -159.425 -155.461 -153.024 -151.546 -150.705 -150.307 -150.228 -150.390 -150.738 -151.235 -151.854 -152.575 -153.384 -154.270 - 166.429 -174.459 -163.519 -157.273 -153.591 -151.391 -150.105 -149.419 -149.147 -149.174 -149.425 -149.849 -150.411 -151.086 -151.857 -152.711 -153.638 - 168.360 -171.678 -160.934 -155.046 -151.683 -149.736 -148.652 -148.127 -147.986 -148.120 -148.461 -148.961 -149.589 -150.321 -151.143 -152.041 -153.008 - 170.646 -168.612 -158.205 -152.748 -149.737 -148.063 -147.189 -146.830 -146.822 -147.066 -147.498 -148.076 -148.770 -149.560 -150.432 -151.375 -152.382 - 173.387 -165.232 -155.331 -150.382 -147.758 -146.373 -145.718 -145.530 -145.659 -146.014 -146.538 -147.193 -147.953 -148.801 -149.724 -150.712 -151.759 - 176.724 -161.514 -152.317 -147.953 -145.749 -144.668 -144.240 -144.227 -144.495 -144.962 -145.580 -146.313 -147.140 -148.046 -149.019 -150.052 -151.140 - -179.150 -157.438 -149.166 -145.467 -143.714 -142.950 -142.757 -142.923 -143.332 -143.913 -144.624 -145.437 -146.331 -147.295 -148.318 -149.396 -150.525 - -173.971 -152.992 -145.889 -142.930 -141.656 -141.224 -141.271 -141.620 -142.171 -142.867 -143.672 -144.564 -145.525 -146.547 -147.621 -148.744 -149.913 - -167.391 -148.183 -142.500 -140.350 -139.582 -139.491 -139.784 -140.317 -141.012 -141.824 -142.724 -143.694 -144.723 -145.803 -146.928 -148.096 -149.304 - -159.001 -143.036 -139.016 -137.737 -137.494 -137.754 -138.297 -139.017 -139.857 -140.785 -141.780 -142.829 -143.925 -145.063 -146.239 -147.451 -148.700 diff --git a/pydarn/radar_fov_files/041_lats.txt b/pydarn/radar_fov_files/041_lats.txt deleted file mode 100644 index 5e64e3de3..000000000 --- a/pydarn/radar_fov_files/041_lats.txt +++ /dev/null @@ -1,101 +0,0 @@ - 43.592 43.671 43.743 43.808 43.868 43.923 43.972 44.016 44.054 44.087 44.115 44.137 44.152 44.162 44.164 44.159 44.145 - 43.933 44.021 44.104 44.181 44.254 44.321 44.382 44.438 44.489 44.533 44.572 44.604 44.631 44.650 44.663 44.668 44.666 - 44.234 44.337 44.435 44.527 44.614 44.697 44.773 44.842 44.905 44.961 45.011 45.053 45.088 45.116 45.136 45.149 45.153 - 44.498 44.618 44.735 44.844 44.947 45.043 45.133 45.216 45.291 45.359 45.419 45.471 45.514 45.550 45.576 45.594 45.603 - 44.746 44.885 45.017 45.143 45.262 45.374 45.478 45.575 45.663 45.742 45.813 45.874 45.926 45.969 46.001 46.024 46.036 - 44.982 45.139 45.289 45.433 45.568 45.696 45.815 45.925 46.026 46.117 46.198 46.269 46.330 46.379 46.418 46.445 46.460 - 45.210 45.386 45.554 45.715 45.868 46.011 46.145 46.270 46.384 46.487 46.579 46.659 46.728 46.784 46.829 46.860 46.879 - 45.431 45.627 45.814 45.993 46.162 46.322 46.471 46.610 46.737 46.852 46.955 47.045 47.122 47.186 47.236 47.272 47.294 - 45.648 45.863 46.069 46.266 46.452 46.629 46.794 46.947 47.087 47.215 47.329 47.429 47.514 47.585 47.641 47.681 47.706 - 45.861 46.095 46.320 46.535 46.740 46.932 47.113 47.281 47.435 47.575 47.700 47.810 47.904 47.982 48.043 48.088 48.116 - 46.070 46.324 46.568 46.802 47.024 47.233 47.430 47.612 47.780 47.933 48.069 48.189 48.292 48.377 48.444 48.494 48.524 - 46.176 46.450 46.713 46.964 47.203 47.428 47.639 47.835 48.015 48.178 48.324 48.452 48.562 48.652 48.723 48.774 48.805 - 46.227 46.521 46.802 47.072 47.327 47.568 47.793 48.002 48.193 48.367 48.522 48.657 48.772 48.866 48.940 48.991 49.021 - 46.243 46.557 46.859 47.146 47.418 47.675 47.914 48.136 48.339 48.522 48.685 48.827 48.947 49.045 49.120 49.171 49.198 - 46.228 46.564 46.885 47.191 47.481 47.753 48.007 48.241 48.455 48.648 48.819 48.967 49.092 49.192 49.267 49.316 49.339 - 46.302 46.658 46.999 47.323 47.629 47.917 48.186 48.434 48.660 48.864 49.044 49.200 49.331 49.435 49.513 49.563 49.585 - 46.543 46.918 47.276 47.618 47.941 48.246 48.530 48.793 49.033 49.250 49.442 49.609 49.750 49.863 49.948 50.004 50.031 - 46.776 47.169 47.546 47.905 48.246 48.567 48.867 49.145 49.400 49.630 49.834 50.012 50.162 50.284 50.377 50.439 50.470 - 47.001 47.413 47.808 48.185 48.544 48.882 49.198 49.492 49.761 50.004 50.221 50.410 50.570 50.701 50.800 50.869 50.905 - 47.219 47.650 48.064 48.460 48.836 49.191 49.524 49.833 50.117 50.374 50.603 50.804 50.974 51.113 51.220 51.294 51.334 - 47.431 47.881 48.314 48.729 49.123 49.496 49.845 50.170 50.469 50.740 50.982 51.194 51.374 51.521 51.636 51.715 51.760 - 47.637 48.107 48.559 48.993 49.406 49.796 50.163 50.504 50.817 51.102 51.357 51.580 51.770 51.927 52.048 52.134 52.183 - 47.838 48.328 48.800 49.252 49.684 50.092 50.476 50.833 51.162 51.461 51.729 51.964 52.164 52.330 52.459 52.550 52.603 - 48.034 48.544 49.036 49.508 49.958 50.384 50.786 51.159 51.504 51.817 52.098 52.345 52.556 52.730 52.866 52.964 53.021 - 48.226 48.756 49.267 49.759 50.228 50.673 51.092 51.482 51.843 52.171 52.465 52.724 52.945 53.129 53.272 53.375 53.437 - 48.412 48.963 49.495 50.006 50.495 50.958 51.395 51.803 52.179 52.522 52.829 53.100 53.333 53.525 53.677 53.786 53.851 - 48.595 49.166 49.718 50.250 50.758 51.241 51.695 52.120 52.512 52.870 53.192 53.475 53.718 53.920 54.079 54.194 54.264 - 48.773 49.365 49.938 50.490 51.018 51.519 51.992 52.435 52.843 53.216 53.552 53.848 54.102 54.314 54.480 54.601 54.676 - 48.947 49.561 50.154 50.727 51.274 51.795 52.287 52.747 53.172 53.561 53.910 54.219 54.485 54.706 54.880 55.007 55.086 - 49.118 49.752 50.367 50.960 51.528 52.068 52.578 53.056 53.498 53.903 54.267 54.589 54.866 55.096 55.279 55.412 55.495 - 49.284 49.940 50.576 51.189 51.778 52.338 52.867 53.363 53.823 54.243 54.622 54.957 55.246 55.486 55.677 55.816 55.903 - 49.447 50.124 50.781 51.416 52.025 52.605 53.154 53.668 54.145 54.581 54.975 55.324 55.624 55.875 56.074 56.219 56.311 - 49.606 50.305 50.983 51.639 52.269 52.869 53.437 53.970 54.465 54.918 55.327 55.689 56.001 56.262 56.470 56.622 56.718 - 49.761 50.482 51.182 51.859 52.510 53.131 53.719 54.270 54.783 55.253 55.677 56.053 56.378 56.649 56.865 57.024 57.124 - 49.912 50.655 51.377 52.076 52.748 53.389 53.997 54.568 55.099 55.585 56.025 56.415 56.753 57.035 57.260 57.425 57.530 - 50.060 50.825 51.569 52.289 52.982 53.645 54.273 54.863 55.412 55.916 56.372 56.777 57.127 57.420 57.653 57.826 57.935 - 50.204 50.991 51.757 52.500 53.214 53.898 54.546 55.156 55.724 56.246 56.718 57.137 57.500 57.804 58.047 58.226 58.340 - 50.344 51.153 51.942 52.707 53.443 54.148 54.817 55.447 56.034 56.573 57.062 57.496 57.872 58.188 58.439 58.625 58.744 - 50.480 51.312 52.124 52.910 53.669 54.395 55.085 55.735 56.341 56.899 57.404 57.854 58.243 58.570 58.831 59.025 59.148 - 50.613 51.468 52.302 53.111 53.891 54.639 55.351 56.021 56.647 57.223 57.745 58.210 58.614 58.952 59.223 59.424 59.552 - 50.742 51.620 52.476 53.308 54.111 54.881 55.614 56.305 56.950 57.545 58.085 58.565 58.983 59.334 59.614 59.822 59.955 - 50.868 51.768 52.647 53.502 54.327 55.119 55.874 56.586 57.252 57.865 58.423 58.920 59.351 59.714 60.005 60.220 60.359 - 50.989 51.912 52.815 53.692 54.540 55.355 56.131 56.865 57.551 58.184 58.759 59.272 59.719 60.094 60.395 60.618 60.762 - 51.107 52.053 52.979 53.879 54.750 55.588 56.386 57.141 57.848 58.500 59.094 59.624 60.085 60.474 60.785 61.016 61.165 - 51.222 52.191 53.139 54.063 54.957 55.817 56.638 57.415 58.143 58.815 59.428 59.975 60.451 60.852 61.174 61.414 61.568 - 51.332 52.324 53.296 54.243 55.160 56.044 56.887 57.686 58.435 59.128 59.759 60.324 60.816 61.231 61.564 61.811 61.970 - 51.439 52.454 53.449 54.420 55.360 56.267 57.134 57.955 58.725 59.439 60.090 60.672 61.180 61.608 61.952 62.208 62.373 - 51.541 52.580 53.599 54.593 55.557 56.487 57.377 58.221 59.013 59.748 60.418 61.018 61.542 61.985 62.341 62.605 62.776 - 51.640 52.702 53.745 54.762 55.751 56.704 57.617 58.484 59.299 60.054 60.745 61.364 61.904 62.361 62.728 63.002 63.178 - 51.736 52.821 53.887 54.928 55.940 56.918 57.854 58.745 59.582 60.359 61.070 61.708 62.265 62.737 63.116 63.399 63.581 - 51.827 52.936 54.025 55.091 56.127 57.128 58.089 59.002 59.862 60.662 61.393 62.050 62.625 63.111 63.503 63.795 63.984 - 51.914 53.046 54.160 55.249 56.310 57.335 58.320 59.257 60.140 60.962 61.715 62.391 62.984 63.486 63.890 64.192 64.386 - 51.997 53.153 54.290 55.404 56.489 57.539 58.548 59.509 60.416 61.260 62.034 62.731 63.342 63.859 64.277 64.588 64.789 - 52.077 53.256 54.417 55.555 56.664 57.739 58.772 59.758 60.688 61.556 62.352 63.069 63.698 64.232 64.663 64.984 65.192 - 52.152 53.355 54.540 55.702 56.836 57.935 58.993 60.003 60.958 61.849 62.668 63.405 64.054 64.604 65.049 65.381 65.594 - 52.223 53.450 54.659 55.845 57.004 58.128 59.211 60.246 61.225 62.140 62.981 63.740 64.408 64.975 65.434 65.777 65.997 - 52.290 53.541 54.774 55.985 57.168 58.317 59.425 60.485 61.489 62.428 63.293 64.074 64.761 65.346 65.819 66.173 66.400 - 52.354 53.627 54.885 56.120 57.328 58.502 59.636 60.722 61.750 62.714 63.602 64.405 65.113 65.716 66.204 66.568 66.803 - 52.413 53.710 54.991 56.251 57.484 58.684 59.843 60.954 62.008 62.997 63.909 64.735 65.464 66.085 66.588 66.964 67.207 - 52.467 53.788 55.094 56.379 57.637 58.862 60.047 61.183 62.263 63.277 64.214 65.063 65.813 66.453 66.972 67.360 67.610 - 52.518 53.863 55.192 56.502 57.785 59.035 60.246 61.409 62.515 63.554 64.516 65.389 66.161 66.820 67.355 67.756 68.013 - 52.565 53.933 55.286 56.620 57.929 59.205 60.442 61.631 62.763 63.829 64.816 65.713 66.507 67.186 67.738 68.151 68.417 - 52.607 53.999 55.376 56.735 58.069 59.371 60.634 61.849 63.008 64.100 65.113 66.034 66.852 67.551 68.120 68.547 68.821 - 52.645 54.060 55.462 56.845 58.204 59.532 60.822 62.064 63.250 64.368 65.407 66.354 67.195 67.915 68.502 68.942 69.225 - 52.679 54.117 55.543 56.951 58.335 59.689 61.005 62.275 63.488 64.633 65.699 66.671 67.536 68.278 68.883 69.337 69.629 - 52.709 54.170 55.620 57.052 58.462 59.842 61.185 62.481 63.722 64.895 65.987 66.986 67.876 68.640 69.264 69.732 70.033 - 52.734 54.219 55.692 57.149 58.585 59.991 61.360 62.684 63.952 65.153 66.273 67.299 68.213 69.001 69.644 70.127 70.438 - 52.755 54.263 55.760 57.242 58.702 60.135 61.531 62.882 64.178 65.407 66.556 67.609 68.549 69.360 70.023 70.522 70.843 - 52.771 54.302 55.824 57.330 58.816 60.274 61.697 63.076 64.400 65.658 66.835 67.916 68.883 69.718 70.402 70.917 71.248 - 52.784 54.337 55.882 57.413 58.924 60.409 61.859 63.266 64.618 65.905 67.111 68.220 69.215 70.074 70.780 71.311 71.653 - 52.791 54.368 55.937 57.492 59.028 60.539 62.016 63.451 64.832 66.148 67.383 68.522 69.544 70.429 71.157 71.706 72.058 - 52.795 54.394 55.986 57.566 59.127 60.664 62.169 63.631 65.042 66.387 67.652 68.820 69.871 70.783 71.533 72.100 72.464 - 52.794 54.416 56.031 57.635 59.222 60.785 62.316 63.807 65.246 66.622 67.917 69.115 70.195 71.134 71.909 72.494 72.869 - 52.788 54.433 56.072 57.700 59.311 60.900 62.459 63.978 65.447 66.852 68.178 69.407 70.517 71.484 72.283 72.888 73.275 - 52.779 54.445 56.107 57.759 59.396 61.011 62.597 64.144 65.642 67.078 68.435 69.695 70.836 71.832 72.656 73.281 73.681 - 52.764 54.453 56.138 57.814 59.476 61.117 62.730 64.305 65.833 67.299 68.688 69.980 71.152 72.178 73.028 73.674 74.088 - 52.745 54.457 56.164 57.864 59.550 61.217 62.857 64.461 66.018 67.515 68.936 70.260 71.465 72.521 73.399 74.067 74.495 - 52.722 54.455 56.186 57.909 59.620 61.312 62.979 64.612 66.199 67.727 69.180 70.537 71.774 72.862 73.769 74.459 74.901 - 52.694 54.449 56.202 57.949 59.684 61.403 63.096 64.757 66.374 67.933 69.418 70.809 72.080 73.201 74.137 74.851 75.309 - 52.662 54.438 56.214 57.984 59.744 61.487 63.208 64.897 66.543 68.134 69.652 71.077 72.382 73.537 74.503 75.242 75.716 - 52.625 54.423 56.221 58.014 59.798 61.567 63.314 65.031 66.707 68.330 69.881 71.341 72.681 73.870 74.868 75.633 76.123 - 52.584 54.403 56.222 58.038 59.846 61.641 63.415 65.160 66.866 68.520 70.105 71.599 72.975 74.199 75.230 76.023 76.531 - 52.538 54.378 56.219 58.058 59.890 61.709 63.509 65.283 67.018 68.704 70.323 71.852 73.265 74.526 75.591 76.412 76.939 - 52.488 54.349 56.211 58.073 59.928 61.772 63.598 65.400 67.165 68.882 70.535 72.100 73.551 74.849 75.950 76.800 77.347 - 52.433 54.314 56.199 58.082 59.961 61.829 63.682 65.510 67.306 69.055 70.741 72.343 73.831 75.168 76.306 77.188 77.755 - 52.373 54.275 56.181 58.086 59.988 61.881 63.759 65.615 67.440 69.221 70.941 72.580 74.107 75.483 76.659 77.574 78.164 - 52.309 54.232 56.158 58.085 60.010 61.927 63.831 65.714 67.568 69.380 71.135 72.810 74.376 75.794 77.010 77.959 78.572 - 52.241 54.183 56.130 58.079 60.026 61.967 63.896 65.806 67.689 69.533 71.322 73.034 74.641 76.100 77.357 78.343 78.981 - 52.168 54.130 56.097 58.068 60.037 62.001 63.955 65.892 67.804 69.679 71.502 73.252 74.899 76.401 77.701 78.725 79.390 - 52.090 54.072 56.060 58.051 60.042 62.030 64.008 65.972 67.912 69.819 71.676 73.463 75.150 76.696 78.041 79.106 79.798 - 52.008 54.009 56.017 58.029 60.042 62.052 64.055 66.045 68.014 69.951 71.842 73.666 75.395 76.986 78.377 79.484 80.207 - 51.922 53.942 55.969 58.001 60.036 62.069 64.096 66.112 68.108 70.075 72.000 73.862 75.633 77.269 78.708 79.860 80.616 - 51.830 53.869 55.916 57.969 60.024 62.080 64.130 66.171 68.195 70.193 72.151 74.050 75.863 77.546 79.034 80.234 81.024 - 51.735 53.792 55.858 57.931 60.007 62.084 64.158 66.224 68.275 70.302 72.294 74.230 76.085 77.815 79.355 80.605 81.432 - 51.635 53.711 55.796 57.888 59.985 62.083 64.180 66.270 68.348 70.404 72.428 74.402 76.298 78.076 79.669 80.972 81.840 - 51.530 53.624 55.728 57.839 59.956 62.076 64.195 66.309 68.413 70.498 72.554 74.564 76.503 78.329 79.977 81.336 82.248 - 51.421 53.533 55.655 57.785 59.922 62.062 64.204 66.342 68.471 70.584 72.672 74.718 76.698 78.574 80.277 81.695 82.655 - 51.307 53.437 55.577 57.726 59.882 62.043 64.206 66.367 68.521 70.662 72.781 74.862 76.884 78.808 80.569 82.049 83.061 - 51.189 53.336 55.494 57.662 59.837 62.018 64.201 66.385 68.564 70.732 72.881 74.997 77.060 79.033 80.851 82.397 83.466 - 51.067 53.231 55.407 57.592 59.786 61.986 64.190 66.396 68.598 70.793 72.971 75.121 77.224 79.246 81.124 82.739 83.869 - 50.940 53.121 55.314 57.517 59.729 61.948 64.173 66.399 68.625 70.845 73.052 75.236 77.378 79.448 81.386 83.072 84.271 diff --git a/pydarn/radar_fov_files/041_lons.txt b/pydarn/radar_fov_files/041_lons.txt deleted file mode 100644 index 1cf131b84..000000000 --- a/pydarn/radar_fov_files/041_lons.txt +++ /dev/null @@ -1,101 +0,0 @@ - 142.537 142.576 142.624 142.680 142.742 142.809 142.883 142.961 143.044 143.132 143.223 143.319 143.418 143.522 143.628 143.739 143.854 - 141.974 142.039 142.111 142.191 142.278 142.372 142.471 142.576 142.686 142.802 142.921 143.045 143.173 143.304 143.439 143.576 143.716 - 141.436 141.521 141.615 141.718 141.828 141.944 142.069 142.200 142.338 142.481 142.630 142.783 142.941 143.102 143.266 143.433 143.603 - 140.921 141.025 141.138 141.261 141.394 141.536 141.686 141.844 142.009 142.181 142.359 142.542 142.731 142.923 143.119 143.318 143.519 - 140.414 140.536 140.670 140.814 140.970 141.135 141.311 141.495 141.688 141.888 142.096 142.310 142.529 142.754 142.982 143.214 143.448 - 139.913 140.052 140.204 140.370 140.547 140.737 140.937 141.148 141.369 141.598 141.836 142.081 142.332 142.589 142.850 143.115 143.383 - 139.411 139.568 139.739 139.925 140.125 140.338 140.563 140.801 141.049 141.308 141.576 141.852 142.136 142.426 142.721 143.020 143.322 - 138.910 139.083 139.273 139.479 139.700 139.937 140.188 140.452 140.729 141.017 141.316 141.624 141.940 142.264 142.593 142.926 143.263 - 138.407 138.596 138.804 139.030 139.274 139.534 139.811 140.102 140.407 140.725 141.054 141.395 141.744 142.101 142.465 142.834 143.206 - 137.901 138.107 138.333 138.579 138.845 139.128 139.430 139.748 140.082 140.430 140.791 141.163 141.546 141.938 142.337 142.742 143.150 - 137.393 137.615 137.859 138.125 138.412 138.719 139.046 139.391 139.754 140.132 140.524 140.930 141.347 141.774 142.208 142.649 143.095 - 137.019 137.252 137.510 137.792 138.097 138.424 138.773 139.141 139.529 139.934 140.354 140.789 141.237 141.695 142.163 142.637 143.117 - 136.711 136.954 137.224 137.520 137.841 138.187 138.555 138.946 139.357 139.787 140.235 140.698 141.176 141.665 142.164 142.672 143.185 - 136.442 136.694 136.974 137.283 137.619 137.982 138.370 138.782 139.216 139.671 140.145 140.637 141.144 141.664 142.195 142.736 143.283 - 136.209 136.467 136.757 137.078 137.428 137.807 138.214 138.646 139.103 139.582 140.083 140.602 141.139 141.690 142.253 142.827 143.408 - 135.868 136.135 136.437 136.772 137.139 137.536 137.964 138.419 138.900 139.406 139.935 140.484 141.051 141.635 142.232 142.840 143.457 - 135.316 135.599 135.918 136.272 136.660 137.080 137.533 138.014 138.524 139.061 139.621 140.203 140.805 141.424 142.058 142.703 143.356 - 134.766 135.063 135.399 135.772 136.181 136.624 137.101 137.610 138.148 138.715 139.308 139.924 140.561 141.216 141.886 142.569 143.261 - 134.216 134.528 134.880 135.271 135.700 136.166 136.668 137.204 137.771 138.369 138.994 139.644 140.316 141.008 141.716 142.437 143.168 - 133.666 133.992 134.359 134.769 135.218 135.707 136.233 136.795 137.392 138.021 138.679 139.363 140.072 140.801 141.548 142.308 143.078 - 133.115 133.454 133.837 134.264 134.734 135.245 135.796 136.385 137.010 137.670 138.361 139.081 139.826 140.594 141.379 142.180 142.991 - 132.563 132.915 133.313 133.757 134.246 134.779 135.355 135.971 136.626 137.317 138.042 138.797 139.580 140.386 141.211 142.052 142.905 - 132.009 132.373 132.786 133.247 133.756 134.311 134.911 135.554 136.238 136.961 137.720 138.511 139.331 140.176 141.043 141.925 142.820 - 131.453 131.829 132.256 132.734 133.262 133.839 134.463 135.133 135.847 136.601 137.394 138.222 139.080 139.966 140.873 141.798 142.736 - 130.895 131.282 131.723 132.218 132.764 133.363 134.011 134.708 135.451 136.238 137.065 137.930 138.827 139.753 140.703 141.671 142.653 - 130.334 130.733 131.187 131.697 132.262 132.882 133.555 134.278 135.051 135.870 136.733 137.634 138.571 139.538 140.531 141.544 142.571 - 129.771 130.180 130.647 131.173 131.756 132.397 133.093 133.844 134.647 135.498 136.396 137.335 138.312 139.321 140.358 141.416 142.488 - 129.205 129.624 130.104 130.644 131.246 131.907 132.627 133.405 134.237 135.122 136.055 137.032 138.050 139.102 140.183 141.287 142.406 - 128.636 129.064 129.556 130.111 130.730 131.412 132.156 132.961 133.823 134.740 135.709 136.725 137.784 138.879 140.006 141.156 142.324 - 128.064 128.501 129.005 129.574 130.210 130.913 131.680 132.511 133.403 134.353 135.358 136.414 137.514 138.654 139.827 141.025 142.242 - 127.490 127.935 128.449 129.032 129.685 130.408 131.198 132.055 132.977 133.961 135.003 136.098 137.241 138.425 139.645 140.893 142.160 - 126.912 127.365 127.889 128.486 129.155 129.897 130.710 131.594 132.546 133.563 134.642 135.777 136.963 138.193 139.461 140.759 142.077 - 126.331 126.791 127.325 127.935 128.620 129.381 130.217 131.127 132.109 133.159 134.275 135.451 136.680 137.958 139.275 140.623 141.993 - 125.746 126.213 126.757 127.378 128.079 128.859 129.718 130.654 131.665 132.750 133.903 135.119 136.394 137.718 139.085 140.486 141.910 - 125.159 125.631 126.184 126.817 127.533 128.331 129.212 130.174 131.215 132.334 133.524 134.782 136.102 137.475 138.893 140.346 141.825 - 124.568 125.046 125.606 126.251 126.981 127.798 128.700 129.688 130.759 131.911 133.140 134.440 135.805 137.227 138.697 140.205 141.740 - 123.974 124.457 125.025 125.680 126.424 127.258 128.181 129.195 130.296 131.482 132.749 134.091 135.503 136.975 138.498 140.062 141.654 - 123.376 123.863 124.438 125.103 125.861 126.712 127.656 128.695 129.825 131.046 132.351 133.737 135.195 136.718 138.295 139.916 141.567 - 122.776 123.266 123.847 124.521 125.292 126.159 127.124 128.188 129.348 130.602 131.947 133.375 134.882 136.457 138.089 139.768 141.479 - 122.172 122.665 123.251 123.934 124.717 125.600 126.586 127.674 128.863 130.151 131.535 133.008 134.562 136.190 137.879 139.617 141.390 - 121.565 122.060 122.651 123.342 124.136 125.035 126.040 127.152 128.370 129.693 131.116 132.633 134.237 135.918 137.665 139.464 141.300 - 120.954 121.450 122.046 122.744 123.549 124.462 125.487 126.623 127.870 129.227 130.689 132.251 133.905 135.641 137.447 139.308 141.209 - 120.341 120.837 121.436 122.141 122.956 123.883 124.926 126.086 127.362 128.752 130.254 131.861 133.566 135.358 137.224 139.149 141.117 - 119.724 120.220 120.821 121.532 122.356 123.298 124.359 125.541 126.845 128.270 129.811 131.464 133.220 135.069 136.996 138.987 141.023 - 119.104 119.599 120.202 120.918 121.751 122.705 123.783 124.988 126.320 127.779 129.360 131.059 132.867 134.774 136.764 138.822 140.928 - 118.481 118.974 119.578 120.298 121.139 122.105 123.200 124.427 125.787 127.279 128.900 130.646 132.507 134.472 136.527 138.653 140.831 - 117.855 118.346 118.950 119.673 120.521 121.498 122.609 123.857 125.244 126.770 128.431 130.224 132.138 134.164 136.284 138.481 140.733 - 117.226 117.713 118.317 119.042 119.896 120.884 122.010 123.279 124.693 126.251 127.953 129.793 131.762 133.848 136.036 138.305 140.633 - 116.593 117.077 117.679 118.406 119.265 120.262 121.403 122.692 124.132 125.723 127.465 129.353 131.377 133.525 135.782 138.125 140.532 - 115.958 116.437 117.036 117.764 118.628 119.634 120.788 122.096 123.562 125.186 126.968 128.903 130.983 133.195 135.522 137.942 140.429 - 115.321 115.793 116.389 117.117 117.984 118.997 120.165 121.491 122.982 124.638 126.460 128.444 130.580 132.857 135.256 137.754 140.324 - 114.680 115.146 115.738 116.464 117.334 118.354 119.533 120.877 122.392 124.080 125.942 127.974 130.168 132.510 134.983 137.561 140.216 - 114.037 114.495 115.082 115.806 116.677 117.703 118.893 120.254 121.792 123.511 125.413 127.494 129.745 132.155 134.703 137.364 140.107 - 113.391 113.840 114.421 115.142 116.014 117.044 118.244 119.621 121.182 122.932 124.873 127.003 129.313 131.791 134.416 137.162 139.996 - 112.742 113.183 113.756 114.473 115.344 116.378 117.586 118.978 120.561 122.341 124.322 126.500 128.870 131.417 134.121 136.954 139.882 - 112.091 112.521 113.087 113.799 114.668 115.704 116.920 118.325 119.929 121.739 123.758 125.986 128.415 131.033 133.819 136.742 139.766 - 111.438 111.857 112.414 113.119 113.985 115.023 116.245 117.663 119.287 121.125 123.183 125.459 127.950 130.640 133.508 136.523 139.647 - 110.782 111.189 111.736 112.434 113.296 114.334 115.561 116.990 118.633 120.499 122.595 124.920 127.472 130.235 133.188 136.299 139.526 - 110.124 110.519 111.055 111.744 112.600 113.637 114.868 116.308 117.968 119.861 121.994 124.369 126.981 129.819 132.859 136.068 139.401 - 109.465 109.845 110.369 111.049 111.898 112.933 114.166 115.615 117.292 119.210 121.379 123.803 126.478 129.392 132.521 135.831 139.274 - 108.803 109.168 109.679 110.348 111.190 112.221 113.455 114.911 116.603 118.547 120.752 123.224 125.961 128.952 132.173 135.586 139.144 - 108.139 108.489 108.986 109.643 110.476 111.501 112.735 114.197 115.903 117.870 120.110 122.630 125.430 128.499 131.814 135.335 139.010 - 107.473 107.807 108.289 108.933 109.755 110.774 112.006 113.472 115.191 117.179 119.453 122.021 124.884 128.033 131.443 135.075 138.873 - 106.806 107.122 107.588 108.218 109.029 110.039 111.268 112.737 114.466 116.475 118.782 121.397 124.323 127.553 131.061 134.807 138.732 - 106.137 106.435 106.884 107.498 108.296 109.296 110.520 111.990 113.728 115.757 118.095 120.756 123.746 127.058 130.667 134.531 138.587 - 105.467 105.746 106.176 106.774 107.557 108.547 109.764 111.233 112.978 115.024 117.392 120.099 123.153 126.547 130.260 134.245 138.438 - 104.796 105.054 105.465 106.045 106.813 107.789 108.998 110.465 112.215 114.277 116.673 119.425 122.542 126.021 129.839 133.950 138.284 - 104.123 104.361 104.751 105.312 106.062 107.025 108.223 109.685 111.439 113.514 115.938 118.733 121.913 125.477 129.403 133.644 138.126 - 103.450 103.665 104.034 104.575 105.307 106.253 107.440 108.895 110.650 112.737 115.185 118.022 121.265 124.915 128.952 133.328 137.963 - 102.775 102.968 103.315 103.833 104.545 105.474 106.647 108.094 109.848 111.944 114.415 117.293 120.597 124.334 128.485 132.999 137.794 - 102.099 102.269 102.592 103.088 103.778 104.688 105.845 107.281 109.032 111.135 113.627 116.544 119.910 123.734 128.000 132.659 137.620 - 101.423 101.568 101.867 102.339 103.007 103.895 105.034 106.457 108.202 110.310 112.821 115.774 119.200 123.113 127.498 132.305 137.439 - 100.747 100.866 101.140 101.586 102.229 103.095 104.214 105.623 107.359 109.469 111.995 114.984 118.469 122.469 126.976 131.936 137.253 - 100.069 100.163 100.410 100.830 101.447 102.289 103.386 104.777 106.503 108.611 111.151 114.171 117.714 121.803 126.433 131.553 137.059 - 99.392 99.458 99.678 100.071 100.661 101.476 102.549 103.920 105.632 107.737 110.286 113.337 116.935 121.113 125.869 131.154 136.858 - 98.715 98.753 98.944 99.308 99.870 100.657 101.704 103.052 104.748 106.845 109.402 112.479 116.131 120.397 125.281 130.737 136.648 - 98.037 98.047 98.209 98.543 99.074 99.831 100.851 102.174 103.850 105.937 108.497 111.597 115.300 119.654 124.669 130.302 136.430 - 97.360 97.340 97.472 97.775 98.274 99.000 99.989 101.285 102.939 105.011 107.571 110.691 114.442 118.882 124.031 129.847 136.203 - 96.682 96.633 96.733 97.004 97.470 98.163 99.119 100.385 102.013 104.068 106.623 109.759 113.556 118.081 123.364 129.370 135.966 - 96.006 95.926 95.994 96.231 96.663 97.320 98.242 99.475 101.074 103.108 105.654 108.802 112.640 117.248 122.668 128.870 135.717 - 95.329 95.218 95.253 95.455 95.851 96.472 97.357 98.554 100.121 102.130 104.663 107.817 111.693 116.382 121.940 128.345 135.457 - 94.654 94.510 94.511 94.678 95.037 95.619 96.465 97.624 99.155 101.134 103.650 106.806 110.714 115.481 121.177 127.793 135.184 - 93.979 93.802 93.769 93.899 94.219 94.762 95.566 96.684 98.176 100.121 102.614 105.766 109.701 114.542 120.379 127.212 134.896 - 93.305 93.095 93.026 93.119 93.399 93.899 94.660 95.734 97.184 99.091 101.555 104.697 108.654 113.565 119.540 126.599 134.593 - 92.632 92.388 92.283 92.337 92.576 93.032 93.748 94.775 96.178 98.043 100.474 103.599 107.571 112.547 118.660 125.951 134.272 - 91.961 91.682 91.540 91.554 91.750 92.162 92.830 93.807 95.161 96.978 99.369 102.472 106.450 111.485 117.735 125.265 133.933 - 91.290 90.977 90.797 90.770 90.923 91.287 91.905 92.830 94.130 95.896 98.241 101.314 105.291 110.377 116.762 124.538 133.573 - 90.622 90.272 90.054 89.986 90.093 90.409 90.975 91.845 93.088 94.797 97.091 100.124 104.093 109.222 115.736 123.765 133.189 - 89.954 89.569 89.311 89.201 89.262 89.528 90.040 90.852 92.034 93.681 95.917 98.904 102.853 108.016 114.655 122.943 132.780 - 89.289 88.867 88.569 88.415 88.430 88.645 89.100 89.851 90.969 92.549 94.720 97.652 101.571 106.757 113.513 122.065 132.342 - 88.625 88.166 87.828 87.630 87.597 87.758 88.156 88.844 89.893 91.401 93.500 96.368 100.246 105.442 112.307 121.127 131.871 - 87.963 87.467 87.088 86.845 86.763 86.870 87.208 87.829 88.807 90.238 92.258 95.052 98.877 104.068 111.031 120.122 131.363 - 87.304 86.769 86.349 86.061 85.928 85.980 86.256 86.809 87.711 89.060 90.994 93.705 97.462 102.634 109.680 119.043 130.813 - 86.646 86.074 85.612 85.277 85.093 85.088 85.300 85.782 86.605 87.868 89.708 92.325 96.001 101.136 108.249 117.881 130.215 - 85.991 85.380 84.876 84.495 84.258 84.195 84.342 84.751 85.491 86.662 88.402 90.914 94.494 99.572 106.731 116.626 129.562 - 85.339 84.688 84.141 83.713 83.424 83.301 83.381 83.714 84.369 85.442 87.075 89.472 92.940 97.939 105.120 115.269 128.845 - 84.688 83.999 83.409 82.933 82.590 82.407 82.419 82.674 83.239 84.211 85.728 87.999 91.339 96.235 103.410 113.797 128.054 - 84.041 83.312 82.679 82.154 81.757 81.513 81.455 81.630 82.103 82.968 84.363 86.496 89.691 94.459 101.594 112.196 127.177 - 83.396 82.628 81.951 81.377 80.925 80.619 80.489 80.582 80.960 81.714 82.980 84.965 87.996 92.608 99.664 110.449 126.196 - 82.754 81.946 81.225 80.602 80.095 79.725 79.523 79.532 79.812 80.451 81.581 83.406 86.256 90.681 97.615 108.540 125.092 - 82.115 81.268 80.502 79.830 79.266 78.833 78.557 78.480 78.660 79.179 80.166 81.820 84.470 88.679 95.439 106.447 123.839 diff --git a/pydarn/radar_fov_files/050_lats.txt b/pydarn/radar_fov_files/050_lats.txt deleted file mode 100644 index 700f6f257..000000000 --- a/pydarn/radar_fov_files/050_lats.txt +++ /dev/null @@ -1,101 +0,0 @@ - 47.312 47.388 47.422 47.437 47.440 47.434 47.419 47.398 47.371 47.338 47.300 47.257 47.210 47.158 47.101 47.040 46.975 46.906 46.832 46.753 46.669 46.578 46.478 46.363 46.209 - 47.931 47.943 47.944 47.937 47.922 47.899 47.870 47.834 47.792 47.744 47.690 47.632 47.568 47.499 47.426 47.348 47.267 47.181 47.091 46.998 46.900 46.799 46.694 46.585 46.470 - 48.429 48.428 48.418 48.400 48.374 48.340 48.298 48.249 48.194 48.132 48.063 47.989 47.907 47.822 47.731 47.636 47.536 47.432 47.323 47.211 47.096 46.977 46.855 46.730 46.601 - 48.880 48.873 48.856 48.830 48.794 48.750 48.698 48.638 48.569 48.493 48.410 48.321 48.224 48.122 48.013 47.898 47.779 47.656 47.528 47.396 47.260 47.121 46.979 46.835 46.688 - 49.313 49.301 49.278 49.245 49.201 49.148 49.085 49.013 48.932 48.843 48.745 48.640 48.527 48.407 48.281 48.148 48.010 47.865 47.717 47.565 47.408 47.249 47.086 46.921 46.753 - 49.737 49.720 49.692 49.652 49.600 49.538 49.465 49.381 49.287 49.184 49.072 48.951 48.821 48.684 48.539 48.388 48.230 48.067 47.897 47.724 47.546 47.365 47.181 46.994 46.805 - 50.154 50.134 50.100 50.053 49.994 49.922 49.839 49.744 49.638 49.521 49.393 49.256 49.110 48.955 48.792 48.621 48.444 48.260 48.071 47.875 47.677 47.474 47.268 47.060 46.849 - 50.568 50.544 50.505 50.452 50.384 50.304 50.210 50.103 49.984 49.853 49.711 49.557 49.394 49.221 49.040 48.850 48.652 48.448 48.238 48.022 47.801 47.576 47.348 47.118 46.886 - 50.979 50.951 50.907 50.847 50.772 50.682 50.578 50.459 50.327 50.182 50.024 49.855 49.675 49.484 49.283 49.074 48.856 48.631 48.400 48.163 47.920 47.673 47.423 47.171 46.917 - 51.388 51.357 51.307 51.241 51.158 51.059 50.944 50.813 50.668 50.508 50.335 50.150 49.952 49.743 49.523 49.294 49.056 48.811 48.558 48.299 48.034 47.765 47.493 47.219 46.942 - 51.796 51.761 51.706 51.633 51.542 51.433 51.308 51.165 51.006 50.832 50.644 50.441 50.226 49.999 49.760 49.511 49.253 48.986 48.711 48.431 48.144 47.853 47.559 47.262 46.963 - 52.079 52.044 51.988 51.913 51.817 51.702 51.568 51.416 51.247 51.061 50.859 50.643 50.412 50.168 49.913 49.646 49.369 49.082 48.788 48.487 48.180 47.866 47.550 47.231 46.909 - 52.297 52.266 52.212 52.135 52.037 51.917 51.777 51.617 51.439 51.242 51.028 50.798 50.553 50.294 50.022 49.737 49.442 49.137 48.823 48.501 48.172 47.837 47.498 47.156 46.810 - 52.476 52.451 52.400 52.324 52.224 52.101 51.956 51.789 51.602 51.395 51.170 50.927 50.668 50.394 50.105 49.804 49.490 49.166 48.832 48.489 48.139 47.781 47.419 47.051 46.680 - 52.618 52.601 52.556 52.482 52.383 52.258 52.108 51.935 51.740 51.524 51.288 51.033 50.760 50.471 50.166 49.847 49.516 49.172 48.818 48.454 48.082 47.700 47.314 46.921 46.522 - 52.862 52.850 52.805 52.731 52.628 52.498 52.341 52.160 51.955 51.727 51.478 51.209 50.921 50.615 50.294 49.957 49.606 49.243 48.869 48.484 48.091 47.687 47.278 46.862 46.439 - 53.310 53.290 53.237 53.153 53.039 52.897 52.728 52.533 52.313 52.070 51.804 51.518 51.212 50.888 50.547 50.191 49.820 49.437 49.043 48.638 48.224 47.801 47.372 46.937 46.497 - 53.750 53.722 53.662 53.569 53.445 53.291 53.110 52.901 52.666 52.407 52.125 51.821 51.497 51.154 50.794 50.417 50.027 49.623 49.208 48.783 48.349 47.906 47.457 47.003 46.544 - 54.184 54.150 54.081 53.979 53.845 53.681 53.486 53.264 53.014 52.739 52.440 52.118 51.776 51.414 51.034 50.638 50.227 49.803 49.367 48.921 48.466 48.004 47.534 47.061 46.583 - 54.613 54.573 54.496 54.386 54.242 54.065 53.858 53.622 53.357 53.066 52.750 52.411 52.049 51.668 51.269 50.852 50.421 49.976 49.519 49.052 48.577 48.094 47.604 47.110 46.613 - 55.038 54.992 54.908 54.789 54.634 54.447 54.227 53.976 53.697 53.389 53.056 52.698 52.318 51.918 51.498 51.061 50.609 50.143 49.666 49.178 48.681 48.177 47.667 47.153 46.636 - 55.460 55.408 55.317 55.189 55.024 54.825 54.592 54.327 54.032 53.708 53.358 52.982 52.583 52.163 51.723 51.265 50.792 50.305 49.806 49.297 48.779 48.254 47.723 47.190 46.653 - 55.879 55.821 55.723 55.586 55.411 55.200 54.954 54.675 54.364 54.024 53.656 53.262 52.843 52.403 51.943 51.465 50.970 50.462 49.942 49.411 48.872 48.326 47.774 47.220 46.664 - 56.295 56.232 56.126 55.981 55.796 55.573 55.314 55.020 54.694 54.336 53.950 53.537 53.100 52.639 52.159 51.660 51.144 50.614 50.073 49.520 48.960 48.393 47.820 47.245 46.669 - 56.710 56.640 56.528 56.373 56.178 55.943 55.671 55.362 55.020 54.646 54.241 53.810 53.352 52.872 52.370 51.850 51.313 50.762 50.198 49.625 49.043 48.454 47.860 47.265 46.668 - 57.122 57.048 56.928 56.764 56.558 56.311 56.025 55.702 55.343 54.952 54.529 54.078 53.601 53.100 52.578 52.036 51.478 50.905 50.320 49.724 49.121 48.511 47.896 47.280 46.663 - 57.533 57.453 57.326 57.154 56.937 56.678 56.378 56.039 55.664 55.255 54.814 54.344 53.847 53.325 52.782 52.219 51.638 51.044 50.437 49.819 49.194 48.563 47.927 47.290 46.652 - 57.943 57.857 57.723 57.541 57.314 57.042 56.728 56.374 55.983 55.556 55.096 54.606 54.089 53.546 52.981 52.397 51.795 51.178 50.549 49.910 49.263 48.610 47.953 47.295 46.637 - 58.352 58.261 58.119 57.928 57.689 57.405 57.077 56.707 56.299 55.854 55.375 54.865 54.327 53.764 53.178 52.571 51.947 51.308 50.657 49.996 49.327 48.653 47.975 47.296 46.618 - 58.759 58.662 58.513 58.313 58.063 57.766 57.423 57.038 56.612 56.149 55.651 55.121 54.563 53.978 53.370 52.742 52.096 51.435 50.761 50.078 49.387 48.692 47.993 47.293 46.594 - 59.166 59.064 58.907 58.697 58.435 58.125 57.768 57.366 56.923 56.441 55.924 55.374 54.795 54.188 53.559 52.908 52.240 51.557 50.861 50.156 49.443 48.726 48.006 47.285 46.566 - 59.572 59.464 59.299 59.079 58.807 58.483 58.111 57.693 57.232 56.731 56.194 55.624 55.023 54.395 53.744 53.071 52.380 51.675 50.957 50.230 49.495 48.756 48.015 47.273 46.533 - 59.977 59.863 59.691 59.461 59.177 58.839 58.452 58.017 57.538 57.019 56.462 55.871 55.248 54.599 53.925 53.230 52.517 51.789 51.049 50.299 49.543 48.782 48.019 47.257 46.497 - 60.381 60.262 60.082 59.842 59.545 59.194 58.791 58.340 57.843 57.304 56.726 56.114 55.470 54.799 54.103 53.385 52.650 51.899 51.137 50.365 49.586 48.804 48.020 47.237 46.456 - 60.785 60.660 60.472 60.222 59.913 59.547 59.129 58.660 58.144 57.586 56.988 56.355 55.689 54.995 54.277 53.537 52.779 52.005 51.220 50.426 49.626 48.822 48.017 47.212 46.412 - 61.189 61.058 60.861 60.601 60.279 59.899 59.465 58.978 58.444 57.866 57.247 56.592 55.905 55.188 54.447 53.684 52.903 52.108 51.300 50.484 49.661 48.836 48.009 47.184 46.364 - 61.592 61.455 61.250 60.979 60.644 60.250 59.799 59.295 58.741 58.143 57.503 56.826 56.117 55.378 54.614 53.828 53.025 52.206 51.376 50.537 49.693 48.846 47.998 47.152 46.311 - 61.994 61.851 61.638 61.356 61.009 60.599 60.131 59.609 59.036 58.417 57.756 57.057 56.325 55.564 54.777 53.968 53.142 52.300 51.448 50.587 49.721 48.852 47.983 47.117 46.255 - 62.397 62.247 62.025 61.732 61.372 60.947 60.462 59.921 59.329 58.689 58.006 57.285 56.531 55.746 54.936 54.105 53.255 52.391 51.516 50.632 49.744 48.854 47.964 47.077 46.195 - 62.799 62.643 62.412 62.108 61.733 61.293 60.791 60.231 59.619 58.958 58.253 57.510 56.733 55.925 55.092 54.237 53.365 52.478 51.580 50.674 49.764 48.852 47.941 47.033 46.132 - 63.200 63.038 62.798 62.482 62.094 61.638 61.118 60.539 59.906 59.224 58.498 57.732 56.931 56.101 55.244 54.366 53.470 52.560 51.640 50.712 49.780 48.846 47.914 46.986 46.064 - 63.602 63.433 63.184 62.856 62.454 61.982 61.444 60.845 60.192 59.488 58.739 57.950 57.126 56.272 55.392 54.491 53.572 52.639 51.696 50.745 49.791 48.837 47.884 46.935 45.993 - 64.003 63.828 63.569 63.229 62.813 62.324 61.767 61.149 60.474 59.748 58.977 58.165 57.318 56.440 55.537 54.612 53.669 52.714 51.748 50.775 49.799 48.823 47.849 46.880 45.919 - 64.405 64.223 63.954 63.601 63.170 62.664 62.089 61.451 60.754 60.006 59.212 58.376 57.506 56.604 55.677 54.729 53.763 52.784 51.796 50.801 49.804 48.806 47.811 46.822 45.840 - 64.806 64.617 64.338 63.973 63.526 63.003 62.409 61.750 61.032 60.261 59.443 58.585 57.690 56.765 55.814 54.842 53.853 52.851 51.840 50.823 49.804 48.785 47.769 46.760 45.758 - 65.207 65.011 64.722 64.344 63.881 63.340 62.727 62.047 61.307 60.513 59.672 58.789 57.871 56.921 55.947 54.951 53.939 52.914 51.880 50.841 49.800 48.760 47.724 46.694 45.673 - 65.608 65.404 65.105 64.713 64.235 63.676 63.043 62.341 61.579 60.762 59.897 58.990 58.048 57.074 56.076 55.056 54.021 52.973 51.916 50.855 49.793 48.731 47.675 46.625 45.584 - 66.008 65.798 65.488 65.082 64.588 64.010 63.357 62.633 61.848 61.008 60.119 59.188 58.221 57.223 56.201 55.157 54.098 53.027 51.949 50.865 49.781 48.699 47.622 46.551 45.491 - 66.409 66.191 65.870 65.451 64.939 64.343 63.668 62.923 62.115 61.250 60.337 59.382 58.390 57.368 56.321 55.254 54.172 53.078 51.977 50.872 49.766 48.663 47.565 46.475 45.395 - 66.810 66.584 66.252 65.818 65.290 64.674 63.978 63.210 62.378 61.490 60.552 59.572 58.556 57.509 56.438 55.348 54.242 53.125 52.001 50.874 49.747 48.623 47.504 46.395 45.296 - 67.211 66.977 66.633 66.184 65.638 65.003 64.285 63.495 62.639 61.726 60.763 59.758 58.717 57.646 56.551 55.436 54.307 53.168 52.021 50.872 49.724 48.579 47.440 46.311 45.193 - 67.612 67.369 67.013 66.550 65.986 65.330 64.590 63.776 62.896 61.959 60.971 59.941 58.875 57.779 56.660 55.521 54.369 53.206 52.038 50.867 49.697 48.531 47.373 46.223 45.086 - 68.013 67.762 67.394 66.914 66.332 65.655 64.893 64.055 63.151 62.188 61.175 60.120 59.029 57.908 56.764 55.602 54.426 53.241 52.050 50.857 49.666 48.480 47.301 46.132 44.977 - 68.413 68.154 67.773 67.278 66.676 65.978 65.193 64.331 63.402 62.413 61.375 60.294 59.178 58.033 56.865 55.678 54.479 53.271 52.058 50.844 49.632 48.425 47.226 46.038 44.863 - 68.814 68.546 68.152 67.640 67.019 66.300 65.491 64.604 63.649 62.635 61.571 60.465 59.323 58.153 56.961 55.751 54.528 53.297 52.062 50.827 49.593 48.366 47.148 45.940 44.746 - 69.215 68.938 68.531 68.002 67.361 66.619 65.786 64.874 63.894 62.854 61.764 60.632 59.465 58.270 57.053 55.819 54.573 53.320 52.062 50.805 49.551 48.304 47.065 45.838 44.626 - 69.617 69.330 68.909 68.362 67.701 66.936 66.079 65.141 64.134 63.068 61.952 60.794 59.602 58.382 57.140 55.883 54.614 53.338 52.058 50.780 49.505 48.238 46.980 45.733 44.503 - 70.018 69.721 69.286 68.721 68.039 67.250 66.368 65.405 64.372 63.279 62.136 60.952 59.734 58.489 57.223 55.942 54.650 53.351 52.051 50.751 49.455 48.168 46.890 45.625 44.376 - 70.419 70.113 69.663 69.079 68.375 67.562 66.655 65.665 64.605 63.486 62.316 61.106 59.862 58.592 57.302 55.997 54.682 53.361 52.039 50.718 49.402 48.094 46.797 45.513 44.245 - 70.820 70.504 70.038 69.436 68.709 67.872 66.939 65.922 64.835 63.688 62.492 61.255 59.986 58.691 57.377 56.048 54.710 53.367 52.022 50.681 49.344 48.017 46.700 45.397 44.112 - 71.222 70.895 70.414 69.791 69.041 68.179 67.219 66.175 65.061 63.887 62.663 61.400 60.105 58.785 57.447 56.094 54.733 53.368 52.002 50.640 49.283 47.936 46.600 45.279 43.975 - 71.624 71.285 70.788 70.145 69.372 68.484 67.496 66.425 65.282 64.081 62.831 61.541 60.220 58.875 57.512 56.136 54.753 53.365 51.978 50.595 49.218 47.852 46.496 45.157 43.834 - 72.025 71.676 71.161 70.497 69.700 68.785 67.770 66.671 65.500 64.270 62.993 61.677 60.330 58.960 57.573 56.174 54.768 53.358 51.950 50.546 49.149 47.763 46.389 45.031 43.691 - 72.427 72.066 71.534 70.848 70.025 69.084 68.041 66.913 65.713 64.456 63.151 61.808 60.436 59.041 57.629 56.207 54.778 53.347 51.918 50.493 49.077 47.671 46.278 44.902 43.544 - 72.829 72.455 71.906 71.197 70.349 69.379 68.308 67.150 65.922 64.637 63.304 61.935 60.537 59.117 57.681 56.236 54.784 53.332 51.881 50.436 49.000 47.576 46.164 44.770 43.394 - 73.232 72.845 72.277 71.545 70.670 69.672 68.571 67.384 66.127 64.813 63.453 62.056 60.633 59.188 57.729 56.260 54.786 53.312 51.841 50.376 48.920 47.476 46.046 44.634 43.240 - 73.634 73.234 72.646 71.890 70.988 69.961 68.830 67.613 66.327 64.984 63.596 62.173 60.724 59.254 57.771 56.280 54.784 53.288 51.796 50.311 48.836 47.374 45.925 44.495 43.084 - 74.036 73.623 73.015 72.234 71.303 70.246 69.085 67.838 66.522 65.150 63.735 62.285 60.810 59.316 57.809 56.295 54.777 53.260 51.748 50.243 48.748 47.267 45.800 44.352 42.924 - 74.439 74.011 73.382 72.575 71.615 70.528 69.336 68.059 66.712 65.312 63.868 62.392 60.891 59.373 57.842 56.305 54.766 53.228 51.695 50.171 48.657 47.157 45.672 44.206 42.760 - 74.842 74.399 73.748 72.914 71.925 70.806 69.583 68.274 66.898 65.468 63.997 62.494 60.968 59.425 57.871 56.311 54.750 53.192 51.639 50.094 48.562 47.043 45.540 44.057 42.594 - 75.245 74.786 74.112 73.251 72.231 71.080 69.825 68.485 67.078 65.619 64.120 62.591 61.039 59.472 57.895 56.313 54.730 53.151 51.578 50.014 48.463 46.926 45.405 43.905 42.425 - 75.648 75.173 74.475 73.585 72.533 71.350 70.062 68.690 67.253 65.765 64.238 62.682 61.105 59.514 57.914 56.310 54.706 53.106 51.513 49.930 48.360 46.805 45.267 43.749 42.252 - 76.051 75.559 74.837 73.916 72.832 71.616 70.294 68.891 67.423 65.905 64.351 62.768 61.166 59.551 57.928 56.302 54.677 53.057 51.444 49.843 48.254 46.681 45.125 43.590 42.076 - 76.454 75.945 75.196 74.245 73.127 71.877 70.522 69.086 67.587 66.040 64.458 62.849 61.222 59.583 57.938 56.290 54.644 53.004 51.372 49.751 48.144 46.553 44.980 43.427 41.897 - 76.858 76.330 75.554 74.570 73.418 72.133 70.744 69.275 67.745 66.170 64.560 62.925 61.273 59.610 57.942 56.273 54.607 52.946 51.295 49.655 48.030 46.421 44.831 43.262 41.715 - 77.261 76.713 75.909 74.892 73.704 72.384 70.960 69.459 67.898 66.293 64.656 62.995 61.319 59.633 57.942 56.252 54.565 52.884 51.214 49.556 47.913 46.286 44.679 43.093 41.529 - 77.665 77.096 76.262 75.210 73.986 72.629 71.171 69.637 68.045 66.411 64.746 63.060 61.359 59.650 57.937 56.225 54.518 52.819 51.129 49.453 47.792 46.148 44.524 42.921 41.341 - 78.069 77.478 76.613 75.525 74.264 72.870 71.376 69.809 68.186 66.523 64.831 63.119 61.394 59.662 57.927 56.195 54.467 52.748 51.040 49.346 47.668 46.006 44.365 42.745 41.149 - 78.472 77.859 76.961 75.835 74.536 73.104 71.575 69.974 68.321 66.629 64.909 63.172 61.423 59.669 57.913 56.159 54.412 52.674 50.948 49.235 47.539 45.860 44.203 42.567 40.954 - 78.876 78.238 77.306 76.142 74.802 73.333 71.768 70.134 68.449 66.728 64.982 63.220 61.447 59.670 57.893 56.119 54.353 52.596 50.851 49.120 47.407 45.711 44.037 42.385 40.757 - 79.280 78.616 77.647 76.443 75.063 73.555 71.954 70.286 68.571 66.822 65.049 63.262 61.466 59.667 57.869 56.075 54.289 52.513 50.750 49.002 47.272 45.559 43.869 42.200 40.556 - 79.684 78.992 77.985 76.739 75.318 73.771 72.133 70.432 68.686 66.909 65.110 63.298 61.479 59.658 57.839 56.026 54.220 52.426 50.645 48.880 47.133 45.403 43.697 42.012 40.352 - 80.087 79.366 78.320 77.030 75.566 73.979 72.306 70.572 68.795 66.990 65.165 63.329 61.487 59.645 57.805 55.972 54.148 52.335 50.537 48.754 46.990 45.245 43.521 41.821 40.145 - 80.491 79.738 78.649 77.315 75.808 74.181 72.471 70.704 68.897 67.064 65.214 63.354 61.490 59.626 57.766 55.913 54.071 52.240 50.424 48.625 46.844 45.082 43.343 41.626 39.935 - 80.894 80.108 78.975 77.594 76.043 74.375 72.629 70.829 68.992 67.132 65.256 63.373 61.487 59.602 57.722 55.850 53.989 52.141 50.308 48.491 46.694 44.916 43.161 41.429 39.722 - 81.297 80.474 79.295 77.866 76.270 74.562 72.779 70.946 69.080 67.193 65.293 63.386 61.478 59.573 57.673 55.783 53.904 52.038 50.187 48.354 46.540 44.747 42.976 41.228 39.506 - 81.699 80.838 79.609 78.131 76.489 74.740 72.921 71.056 69.161 67.247 65.323 63.393 61.464 59.538 57.620 55.711 53.814 51.930 50.063 48.214 46.383 44.574 42.788 41.025 39.286 - 82.101 81.198 79.917 78.388 76.700 74.910 73.056 71.159 69.235 67.295 65.346 63.395 61.444 59.499 57.561 55.634 53.719 51.819 49.935 48.069 46.223 44.398 42.596 40.818 39.064 - 82.502 81.554 80.218 78.636 76.902 75.072 73.181 71.253 69.301 67.336 65.364 63.390 61.419 59.454 57.498 55.553 53.621 51.704 49.803 47.922 46.059 44.219 42.401 40.608 38.839 - 82.902 81.905 80.512 78.876 77.094 75.224 73.299 71.340 69.360 67.370 65.375 63.379 61.388 59.404 57.430 55.467 53.518 51.584 49.668 47.771 45.892 44.037 42.204 40.395 38.611 - 83.301 82.251 80.797 79.106 77.278 75.367 73.408 71.418 69.412 67.397 65.379 63.363 61.352 59.349 57.356 55.376 53.410 51.460 49.528 47.615 45.721 43.851 42.003 40.179 38.380 - 83.699 82.590 81.073 79.326 77.451 75.501 73.507 71.489 69.456 67.417 65.377 63.340 61.310 59.289 57.279 55.281 53.299 51.333 49.385 47.457 45.547 43.661 41.798 39.960 38.146 - 84.094 82.922 81.339 79.535 77.613 75.624 73.598 71.550 69.492 67.430 65.369 63.312 61.263 59.223 57.196 55.182 53.183 51.201 49.238 47.294 45.369 43.469 41.591 39.737 37.909 - 84.488 83.246 81.593 79.733 77.764 75.738 73.679 71.604 69.521 67.436 65.354 63.278 61.210 59.153 57.108 55.078 53.063 51.066 49.087 47.128 45.189 43.273 41.381 39.512 37.669 - 84.878 83.560 81.836 79.918 77.904 75.841 73.751 71.649 69.542 67.435 65.332 63.237 61.152 59.077 57.016 54.970 52.939 50.926 48.932 46.958 45.005 43.074 41.167 39.284 37.426 - 85.264 83.863 82.064 80.090 78.032 75.933 73.814 71.685 69.555 67.427 65.305 63.191 61.088 58.997 56.919 54.857 52.811 50.783 48.774 46.785 44.817 42.872 40.950 39.053 37.181 - 85.644 84.152 82.278 80.248 78.147 76.014 73.866 71.713 69.560 67.411 65.270 63.139 61.018 58.911 56.817 54.740 52.679 50.636 48.612 46.609 44.626 42.667 40.731 38.819 36.932 - 86.018 84.426 82.476 80.391 78.250 76.084 73.909 71.731 69.557 67.389 65.229 63.080 60.943 58.820 56.711 54.618 52.542 50.485 48.446 46.428 44.432 42.458 40.508 38.582 36.680 - 86.383 84.682 82.656 80.519 78.340 76.143 73.941 71.741 69.546 67.359 65.182 63.016 60.863 58.724 56.600 54.492 52.402 50.330 48.277 46.245 44.235 42.247 40.282 38.341 36.426 - 86.735 84.918 82.817 80.631 78.416 76.190 73.964 71.742 69.528 67.323 65.128 62.946 60.777 58.623 56.484 54.362 52.257 50.171 48.104 46.058 44.034 42.032 40.053 38.098 36.168 - 87.069 85.129 82.958 80.727 78.478 76.225 73.976 71.734 69.501 67.279 65.068 62.870 60.686 58.517 56.364 54.227 52.108 50.008 47.929 45.867 43.829 41.814 39.821 37.852 35.908 diff --git a/pydarn/radar_fov_files/050_lons.txt b/pydarn/radar_fov_files/050_lons.txt deleted file mode 100644 index 1a9efbe83..000000000 --- a/pydarn/radar_fov_files/050_lons.txt +++ /dev/null @@ -1,101 +0,0 @@ - 129.759 129.982 130.151 130.297 130.431 130.555 130.672 130.781 130.884 130.981 131.072 131.156 131.234 131.306 131.371 131.429 131.479 131.521 131.554 131.577 131.589 131.588 131.570 131.526 131.422 - 130.123 130.294 130.457 130.614 130.764 130.910 131.049 131.183 131.311 131.433 131.548 131.657 131.759 131.854 131.942 132.021 132.092 132.155 132.209 132.253 132.288 132.311 132.324 132.324 132.309 - 130.319 130.511 130.699 130.883 131.061 131.234 131.402 131.564 131.719 131.868 132.010 132.144 132.267 132.385 132.494 132.594 132.685 132.766 132.837 132.897 132.946 132.984 133.010 133.024 133.026 - 130.450 130.673 130.893 131.107 131.317 131.521 131.719 131.911 132.096 132.272 132.441 132.601 132.751 132.892 133.022 133.140 133.249 133.346 133.432 133.506 133.567 133.616 133.652 133.674 133.683 - 130.558 130.814 131.067 131.315 131.557 131.794 132.024 132.246 132.460 132.665 132.861 133.047 133.221 133.385 133.536 133.676 133.802 133.914 134.014 134.100 134.173 134.231 134.274 134.302 134.316 - 130.653 130.944 131.231 131.513 131.790 132.060 132.322 132.575 132.820 133.054 133.277 133.488 133.687 133.874 134.046 134.205 134.349 134.478 134.589 134.688 134.770 134.836 134.886 134.919 134.936 - 130.740 131.067 131.390 131.708 132.019 132.323 132.618 132.903 133.178 133.441 133.692 133.929 134.153 134.361 134.555 134.732 134.893 135.037 135.164 135.272 135.363 135.437 135.493 135.530 135.549 - 130.823 131.187 131.547 131.900 132.247 132.585 132.913 133.231 133.537 133.829 134.108 134.371 134.619 134.850 135.064 135.260 135.438 135.597 135.736 135.856 135.955 136.035 136.096 136.136 136.156 - 130.903 131.305 131.702 132.092 132.475 132.848 133.210 133.560 133.897 134.220 134.526 134.816 135.088 135.341 135.576 135.790 135.984 136.157 136.309 136.439 136.546 136.632 136.697 136.740 136.761 - 130.982 131.422 131.857 132.285 132.704 133.113 133.509 133.893 134.261 134.613 134.947 135.263 135.560 135.835 136.090 136.322 136.532 136.719 136.882 137.022 137.138 137.229 137.297 137.342 137.363 - 131.059 131.538 132.012 132.478 132.935 133.380 133.811 134.228 134.628 135.010 135.373 135.715 136.035 136.333 136.607 136.858 137.083 137.283 137.458 137.607 137.730 137.826 137.897 137.943 137.963 - 131.004 131.523 132.036 132.540 133.033 133.512 133.977 134.425 134.855 135.264 135.653 136.018 136.360 136.677 136.969 137.234 137.472 137.682 137.865 138.020 138.146 138.243 138.314 138.356 138.371 - 130.868 131.430 131.983 132.526 133.055 133.570 134.068 134.548 135.007 135.444 135.858 136.246 136.609 136.944 137.252 137.530 137.779 137.999 138.188 138.346 138.474 138.569 138.636 138.672 138.677 - 130.677 131.284 131.880 132.463 133.031 133.582 134.114 134.626 135.115 135.579 136.018 136.429 136.812 137.166 137.488 137.780 138.039 138.266 138.460 138.621 138.749 138.841 138.902 138.929 138.922 - 130.435 131.089 131.730 132.356 132.963 133.552 134.119 134.663 135.182 135.675 136.139 136.573 136.975 137.346 137.684 137.987 138.256 138.490 138.688 138.850 138.976 139.062 139.115 139.131 139.108 - 130.327 131.027 131.710 132.376 133.023 133.648 134.250 134.827 135.376 135.897 136.386 136.844 137.267 137.657 138.010 138.327 138.607 138.849 139.053 139.219 139.345 139.430 139.478 139.487 139.454 - 130.487 131.223 131.943 132.645 133.328 133.989 134.625 135.234 135.814 136.363 136.880 137.362 137.808 138.218 138.589 138.922 139.216 139.470 139.684 139.858 139.991 140.080 140.132 140.144 140.113 - 130.637 131.411 132.169 132.910 133.630 134.327 134.998 135.640 136.251 136.829 137.372 137.879 138.348 138.778 139.167 139.516 139.823 140.088 140.311 140.492 140.631 140.724 140.779 140.792 140.761 - 130.780 131.594 132.392 133.172 133.930 134.664 135.370 136.045 136.688 137.295 137.866 138.397 138.888 139.338 139.745 140.108 140.428 140.704 140.936 141.123 141.267 141.366 141.419 141.432 141.402 - 130.917 131.772 132.612 133.432 134.229 135.000 135.742 136.452 137.126 137.763 138.361 138.917 139.430 139.899 140.323 140.701 141.033 141.319 141.559 141.752 141.899 142.001 142.055 142.068 142.035 - 131.050 131.948 132.829 133.691 134.528 135.338 136.116 136.860 137.567 138.233 138.858 139.438 139.973 140.461 140.902 141.294 141.638 141.934 142.180 142.379 142.530 142.633 142.687 142.698 142.663 - 131.180 132.121 133.046 133.950 134.828 135.677 136.492 137.271 138.010 138.706 139.358 139.963 140.519 141.026 141.483 141.889 142.244 142.548 142.802 143.005 143.158 143.262 143.315 143.324 143.286 - 131.307 132.293 133.262 134.209 135.129 136.018 136.871 137.685 138.457 139.183 139.862 140.491 141.069 141.594 142.067 142.486 142.852 143.164 143.423 143.630 143.785 143.889 143.941 143.947 143.904 - 131.432 132.464 133.479 134.470 135.433 136.362 137.253 138.103 138.908 139.664 140.370 141.023 141.622 142.165 142.653 143.085 143.461 143.781 144.045 144.255 144.412 144.515 144.565 144.567 144.520 - 131.555 132.635 133.696 134.733 135.739 136.709 137.639 138.525 139.363 140.149 140.882 141.559 142.179 142.740 143.243 143.687 144.072 144.399 144.668 144.881 145.037 145.140 145.186 145.184 145.131 - 131.677 132.806 133.915 134.998 136.048 137.060 138.030 138.952 139.823 140.639 141.399 142.100 142.740 143.319 143.836 144.291 144.685 145.019 145.292 145.506 145.663 145.763 145.806 145.799 145.740 - 131.798 132.977 134.135 135.265 136.361 137.416 138.425 139.384 140.288 141.135 141.921 142.645 143.306 143.901 144.433 144.899 145.301 145.640 145.917 146.132 146.288 146.386 146.424 146.412 146.346 - 131.919 133.149 134.357 135.536 136.677 137.775 138.825 139.821 140.759 141.636 142.449 143.196 143.876 144.489 145.033 145.510 145.920 146.263 146.543 146.759 146.913 147.008 147.041 147.023 146.949 - 132.039 133.322 134.582 135.809 136.998 138.140 139.231 140.264 141.236 142.143 142.982 143.752 144.452 145.080 145.637 146.124 146.541 146.889 147.170 147.386 147.538 147.629 147.660 147.632 147.551 - 132.160 133.497 134.809 136.087 137.323 138.510 139.642 140.713 141.719 142.656 143.522 144.314 145.033 145.677 146.246 146.742 147.165 147.517 147.799 148.014 148.164 148.250 148.275 148.239 148.149 - 132.280 133.673 135.039 136.368 137.653 138.886 140.060 141.169 142.209 143.176 144.068 144.882 145.619 146.278 146.859 147.363 147.792 148.146 148.430 148.643 148.789 148.870 148.889 148.845 148.746 - 132.401 133.851 135.271 136.654 137.988 139.267 140.483 141.631 142.705 143.702 144.620 145.456 146.211 146.884 147.476 147.988 148.421 148.779 149.062 149.273 149.415 149.490 149.501 149.449 149.341 - 132.523 134.031 135.508 136.944 138.329 139.655 140.914 142.100 143.208 144.235 145.179 146.037 146.809 147.495 148.097 148.617 149.054 149.413 149.695 149.904 150.041 150.110 150.113 150.052 149.933 - 132.645 134.213 135.748 137.239 138.676 140.049 141.352 142.577 143.719 144.776 145.744 146.623 147.412 148.112 148.724 149.249 149.690 150.050 150.331 150.536 150.668 150.729 150.724 150.654 150.524 - 132.768 134.397 135.992 137.539 139.028 140.450 141.796 143.061 144.238 145.324 146.317 147.216 148.022 148.734 149.354 149.885 150.329 150.689 150.968 151.168 151.294 151.348 151.334 151.253 151.113 - 132.892 134.585 136.240 137.844 139.387 140.858 142.249 143.552 144.764 145.879 146.897 147.816 148.637 149.361 149.990 150.526 150.972 151.331 151.606 151.802 151.921 151.967 151.943 151.852 151.700 - 133.018 134.775 136.492 138.156 139.753 141.274 142.709 144.052 145.298 146.443 147.484 148.423 149.259 149.994 150.630 151.170 151.617 151.975 152.247 152.437 152.548 152.585 152.551 152.449 152.284 - 133.144 134.968 136.749 138.473 140.126 141.698 143.178 144.561 145.841 147.014 148.079 149.037 149.887 150.632 151.275 151.818 152.265 152.621 152.889 153.072 153.176 153.203 153.159 153.044 152.867 - 133.272 135.164 137.011 138.796 140.506 142.129 143.655 145.078 146.392 147.593 148.682 149.658 150.521 151.276 151.924 152.470 152.917 153.269 153.532 153.708 153.803 153.821 153.763 153.639 153.449 - 133.401 135.364 137.278 139.126 140.894 142.569 144.141 145.604 146.952 148.181 149.293 150.286 151.162 151.925 152.578 153.126 153.571 153.920 154.177 154.346 154.431 154.438 154.368 154.231 154.028 - 133.533 135.568 137.551 139.463 141.290 143.018 144.637 146.139 147.521 148.778 149.911 150.921 151.809 152.580 153.237 153.785 154.229 154.573 154.823 154.983 155.059 155.055 154.972 154.822 154.605 - 133.665 135.775 137.829 139.807 141.694 143.476 145.141 146.684 148.099 149.383 150.538 151.563 152.463 153.241 153.901 154.449 154.890 155.229 155.471 155.622 155.687 155.671 155.576 155.412 155.180 - 133.800 135.987 138.113 140.159 142.107 143.943 145.656 147.239 148.687 149.998 151.173 152.214 153.124 153.907 154.570 155.116 155.553 155.886 156.120 156.261 156.315 156.286 156.178 156.000 155.753 - 133.937 136.203 138.404 140.519 142.529 144.420 146.180 147.803 149.284 150.621 151.816 152.871 153.791 154.579 155.243 155.788 156.220 156.545 156.770 156.901 156.943 156.901 156.779 156.586 156.324 - 134.076 136.423 138.701 140.886 142.960 144.907 146.716 148.378 149.892 151.254 152.468 153.537 154.464 155.257 155.921 156.462 156.889 157.207 157.422 157.541 157.571 157.515 157.379 157.171 156.894 - 134.217 136.648 139.005 141.263 143.402 145.405 147.261 148.964 150.509 151.897 153.129 154.210 155.145 155.940 156.603 157.141 157.561 157.870 158.075 158.182 158.198 158.129 157.977 157.754 157.461 - 134.360 136.878 139.317 141.649 143.853 145.914 147.819 149.561 151.138 152.549 153.799 154.891 155.832 156.629 157.290 157.823 158.235 158.535 158.728 158.823 158.826 158.741 158.575 158.336 158.026 - 134.507 137.114 139.636 142.044 144.315 146.434 148.387 150.169 151.777 153.211 154.477 155.579 156.526 157.324 157.982 158.509 158.913 159.202 159.383 159.465 159.453 159.353 159.171 158.915 158.589 - 134.655 137.355 139.963 142.449 144.789 146.966 148.968 150.788 152.426 153.883 155.164 156.276 157.226 158.024 158.678 159.198 159.593 159.870 160.039 160.106 160.079 159.964 159.765 159.493 159.149 - 134.807 137.602 140.298 142.864 145.274 147.510 149.560 151.420 153.087 154.566 155.861 156.980 157.933 158.729 159.379 159.891 160.275 160.540 160.695 160.748 160.705 160.574 160.358 160.069 159.708 - 134.962 137.856 140.643 143.290 145.771 148.066 150.166 152.064 153.760 155.258 156.566 157.693 158.647 159.440 160.083 160.586 160.959 161.212 161.353 161.390 161.331 161.183 160.950 160.643 160.262 - 135.120 138.116 140.997 143.727 146.280 148.636 150.784 152.720 154.444 155.962 157.281 158.413 159.368 160.157 160.793 161.285 161.646 161.885 162.010 162.032 161.956 161.790 161.540 161.215 160.816 - 135.281 138.383 141.360 144.177 146.803 149.220 151.416 153.389 155.140 156.675 158.005 159.141 160.095 160.879 161.506 161.988 162.335 162.559 162.669 162.673 162.580 162.397 162.128 161.785 161.367 - 135.446 138.657 141.734 144.638 147.339 149.817 152.062 154.071 155.848 157.400 158.739 159.877 160.828 161.606 162.223 162.693 163.026 163.235 163.328 163.315 163.203 163.002 162.715 162.353 161.916 - 135.615 138.939 142.119 145.113 147.890 150.430 152.722 154.767 156.568 158.135 159.482 160.621 161.569 162.338 162.945 163.401 163.719 163.911 163.987 163.956 163.826 163.606 163.300 162.919 162.463 - 135.788 139.229 142.515 145.601 148.455 151.057 153.397 155.476 157.301 158.882 160.234 161.373 162.315 163.076 163.670 164.112 164.414 164.589 164.646 164.596 164.448 164.208 163.883 163.483 163.008 - 135.965 139.527 142.923 146.104 149.036 151.700 154.087 156.200 158.046 159.639 160.996 162.133 163.069 163.818 164.399 164.825 165.110 165.267 165.306 165.237 165.068 164.809 164.465 164.045 163.549 - 136.146 139.835 143.344 146.621 149.633 152.359 154.793 156.937 158.804 160.408 161.768 162.901 163.828 164.566 165.132 165.541 165.809 165.946 165.965 165.876 165.688 165.408 165.044 164.604 164.089 - 136.332 140.152 143.778 147.155 150.247 153.035 155.514 157.690 159.575 161.188 162.549 163.677 164.594 165.318 165.868 166.260 166.508 166.626 166.625 166.515 166.306 166.006 165.622 165.162 164.626 - 136.524 140.480 144.226 147.704 150.878 153.729 156.252 158.458 160.360 161.980 163.339 164.460 165.365 166.075 166.608 166.981 167.209 167.306 167.284 167.153 166.923 166.602 166.197 165.717 165.160 - 136.720 140.819 144.689 148.271 151.528 154.440 157.007 159.241 161.158 162.783 164.139 165.251 166.143 166.837 167.351 167.704 167.911 167.987 167.943 167.791 167.539 167.195 166.771 166.267 165.692 - 136.923 141.169 145.168 148.857 152.196 155.170 157.780 160.039 161.970 163.597 164.948 166.050 166.927 167.602 168.097 168.429 168.614 168.668 168.602 168.427 168.154 167.787 167.342 166.817 166.221 - 137.131 141.531 145.663 149.461 152.885 155.920 158.570 160.854 162.795 164.423 165.767 166.856 167.717 168.373 168.846 169.156 169.318 169.349 169.260 169.063 168.767 168.378 167.911 167.365 166.747 - 137.346 141.906 146.176 150.085 153.594 156.689 159.379 161.684 163.634 165.260 166.595 167.670 168.512 169.147 169.598 169.884 170.023 170.030 169.918 169.697 169.378 168.967 168.478 167.910 167.271 - 137.568 142.295 146.708 150.731 154.325 157.480 160.207 162.532 164.487 166.109 167.433 168.490 169.312 169.925 170.352 170.615 170.729 170.711 170.574 170.330 169.988 169.554 169.043 168.452 167.792 - 137.798 142.699 147.259 151.399 155.078 158.291 161.054 163.396 165.355 166.970 168.279 169.318 170.118 170.707 171.110 171.346 171.435 171.392 171.230 170.962 170.595 170.139 169.605 168.992 168.311 - 138.035 143.119 147.832 152.090 155.855 159.125 161.920 164.276 166.236 167.842 169.135 170.153 170.930 171.493 171.869 172.079 172.142 172.073 171.886 171.592 171.202 170.722 170.165 169.530 168.826 - 138.281 143.556 148.426 152.806 156.657 159.982 162.807 165.175 167.132 168.725 170.000 170.995 171.746 172.282 172.631 172.813 172.849 172.753 172.540 172.221 171.806 171.303 170.722 170.064 169.339 - 138.536 144.011 149.045 153.548 157.484 160.862 163.714 166.090 168.042 169.620 170.873 171.843 172.567 173.075 173.395 173.548 173.556 173.433 173.193 172.848 172.408 171.881 171.277 170.596 169.849 - 138.802 144.485 149.688 154.317 158.338 161.766 164.643 167.023 168.966 170.526 171.756 172.698 173.392 173.870 174.160 174.284 174.263 174.111 173.845 173.474 173.009 172.457 171.830 171.126 170.356 - 139.077 144.980 150.359 155.115 159.220 162.696 165.593 167.974 169.904 171.444 172.646 173.559 174.222 174.669 174.927 175.021 174.969 174.790 174.495 174.098 173.607 173.031 172.380 171.653 170.860 - 139.365 145.498 151.058 155.943 160.130 163.651 166.565 168.943 170.857 172.372 173.545 174.427 175.057 175.470 175.696 175.758 175.676 175.467 175.144 174.720 174.203 173.602 172.925 172.176 171.362 - 139.665 146.041 151.788 156.804 161.071 164.633 167.559 169.930 171.824 173.311 174.453 175.300 175.895 176.274 176.466 176.495 176.382 176.143 175.792 175.340 174.797 174.171 173.470 172.698 171.860 - 139.979 146.609 152.550 157.698 162.044 165.642 168.576 170.935 172.805 174.261 175.368 176.178 176.737 177.080 177.237 177.233 177.088 176.818 176.437 175.958 175.388 174.738 174.011 173.216 172.356 - 140.308 147.206 153.348 158.628 163.048 166.679 169.615 171.958 173.800 175.221 176.290 177.062 177.582 177.888 178.009 177.970 177.792 177.491 177.082 176.574 175.978 175.301 174.550 173.731 172.848 - 140.653 147.834 154.183 159.595 164.087 167.745 170.678 172.999 174.809 176.192 177.220 177.951 178.431 178.697 178.781 178.708 178.496 178.164 177.724 177.188 176.562 175.863 175.087 174.244 173.338 - 141.016 148.495 155.058 160.602 165.162 168.840 171.764 174.059 175.831 177.173 178.158 178.845 179.283 179.509 179.555 179.445 179.199 178.835 178.364 177.799 177.147 176.421 175.620 174.754 173.824 - 141.398 149.192 155.976 161.651 166.273 169.965 172.874 175.136 176.867 178.163 179.102 179.743 -179.863 -179.678 -179.672 -179.819 179.901 179.504 179.003 178.409 177.729 176.977 176.151 175.260 174.308 - 141.803 149.930 156.940 162.745 167.421 171.121 174.008 176.231 177.916 179.163 -179.948 -179.354 -179.006 -178.864 -178.898 -179.083 -179.399 -179.829 179.639 179.016 178.309 177.530 176.679 175.764 174.788 - 142.231 150.711 157.954 163.884 168.609 172.308 175.166 177.345 178.978 -179.828 -178.991 -178.448 -178.147 -178.049 -178.125 -178.348 -178.700 -179.163 -179.727 179.620 178.885 178.081 177.204 176.265 175.266 - 142.686 151.539 159.020 165.073 169.838 173.527 176.347 178.475 -179.947 -178.810 -178.029 -177.537 -177.285 -177.234 -177.351 -177.614 -178.002 -178.500 -179.095 -179.778 179.460 178.628 177.726 176.763 175.740 - 143.171 152.420 160.144 166.313 171.108 174.778 177.552 179.623 -178.861 -177.784 -177.061 -176.624 -176.423 -176.418 -176.579 -176.881 -177.306 -177.838 -178.466 -179.178 -179.969 179.173 178.245 177.257 176.211 - 143.690 153.358 161.330 167.607 172.422 176.061 178.781 -179.212 -177.762 -176.750 -176.088 -175.707 -175.558 -175.602 -175.807 -176.150 -176.612 -177.179 -177.839 -178.582 -179.400 179.713 178.761 177.749 176.680 - 144.246 154.361 162.582 168.958 173.780 177.377 -179.966 -178.031 -176.652 -175.709 -175.110 -174.788 -174.693 -174.785 -175.035 -175.420 -175.920 -176.522 -177.214 -177.987 -178.834 -179.748 179.274 178.238 177.145 - 144.845 155.433 163.905 170.368 175.183 178.726 -178.690 -176.833 -175.532 -174.660 -174.128 -173.867 -173.827 -173.969 -174.265 -174.691 -175.230 -175.867 -176.592 -177.396 -178.271 -179.213 179.785 178.724 177.607 - 145.492 156.583 165.305 171.840 176.632 -179.892 -177.392 -175.621 -174.401 -173.605 -173.142 -172.944 -172.960 -173.154 -173.496 -173.964 -174.542 -175.215 -175.973 -176.808 -177.711 -178.680 -179.708 179.206 178.066 - 146.195 157.820 166.786 173.377 178.128 -178.477 -176.071 -174.393 -173.260 -172.544 -172.153 -172.019 -172.093 -172.339 -172.728 -173.240 -173.857 -174.566 -175.357 -176.222 -177.154 -178.150 -179.204 179.686 178.522 - 146.961 159.154 168.357 174.982 179.671 -177.030 -174.728 -173.150 -172.110 -171.477 -171.160 -171.093 -171.226 -171.525 -171.962 -172.517 -173.173 -173.919 -174.743 -175.639 -176.600 -177.624 -178.703 -179.838 178.975 - 147.801 160.595 170.022 176.656 -178.737 -175.551 -173.364 -171.895 -170.952 -170.406 -170.165 -170.166 -170.360 -170.713 -171.198 -171.797 -172.493 -173.274 -174.132 -175.062 -176.049 -177.100 -178.206 -179.365 179.424 - 148.728 162.157 171.788 178.403 -177.097 -174.040 -171.980 -170.626 -169.786 -169.330 -169.168 -169.238 -169.494 -169.901 -170.436 -171.079 -171.815 -172.633 -173.525 -174.485 -175.501 -176.580 -177.711 -178.895 179.871 - 149.755 163.854 173.663 -179.777 -175.409 -172.499 -170.576 -169.345 -168.612 -168.250 -168.169 -168.310 -168.629 -169.092 -169.676 -170.363 -171.140 -171.995 -172.920 -173.911 -174.957 -176.062 -177.219 -178.428 -179.686 - 150.903 165.702 175.653 -177.880 -173.673 -170.927 -169.155 -168.053 -167.433 -167.166 -167.169 -167.383 -167.765 -168.284 -168.918 -169.651 -170.467 -171.359 -172.318 -173.340 -174.415 -175.548 -176.731 -177.964 -179.246 - 152.195 167.720 177.765 -175.907 -171.890 -169.327 -167.715 -166.751 -166.247 -166.080 -166.169 -166.456 -166.902 -167.479 -168.163 -168.940 -169.798 -170.727 -171.720 -172.773 -173.876 -175.037 -176.246 -177.503 -178.809 - 153.661 169.929 -179.995 -173.857 -170.062 -167.700 -166.260 -165.440 -165.057 -164.992 -165.168 -165.530 -166.042 -166.675 -167.411 -168.233 -169.132 -170.098 -171.124 -172.208 -173.343 -174.529 -175.764 -177.046 -178.375 - 155.339 172.351 -177.620 -171.729 -168.188 -166.047 -164.790 -164.121 -163.862 -163.902 -164.167 -164.606 -165.183 -165.875 -166.661 -167.529 -168.469 -169.472 -170.532 -171.647 -172.812 -174.025 -175.285 -176.591 -177.944 - 157.279 175.011 -175.106 -169.524 -166.273 -164.371 -163.306 -162.794 -162.664 -162.812 -163.167 -163.683 -164.327 -165.077 -165.915 -166.828 -167.809 -168.849 -169.944 -171.089 -172.283 -173.523 -174.809 -176.140 -177.517 - 159.548 177.936 -172.450 -167.245 -164.317 -162.672 -161.811 -161.461 -161.464 -161.721 -162.168 -162.762 -163.473 -164.282 -165.171 -166.131 -167.152 -168.229 -169.358 -170.535 -171.758 -173.025 -174.337 -175.692 -177.092 - 162.233 -178.848 -169.649 -164.893 -162.324 -160.954 -160.305 -160.124 -160.262 -160.630 -161.170 -161.843 -162.623 -163.490 -164.431 -165.436 -166.499 -167.613 -168.776 -169.984 -171.236 -172.530 -173.867 -175.247 -176.671 - 165.452 -175.315 -166.703 -162.474 -160.296 -159.218 -158.791 -158.783 -159.060 -159.541 -160.175 -160.927 -161.775 -162.701 -163.694 -164.746 -165.849 -167.001 -168.197 -169.436 -170.717 -172.039 -173.401 -174.806 -176.253 - 169.363 -171.443 -163.618 -159.990 -158.238 -157.467 -157.270 -157.439 -157.857 -158.453 -159.182 -160.015 -160.931 -161.916 -162.961 -164.058 -165.203 -166.392 -167.622 -168.891 -170.202 -171.550 -172.938 -174.367 -175.838 - 174.176 -167.218 -160.399 -157.450 -156.153 -155.703 -155.744 -156.094 -156.656 -157.367 -158.192 -159.105 -160.090 -161.135 -162.232 -163.375 -164.561 -165.787 -167.053 -168.350 -169.690 -171.065 -172.479 -173.932 -175.426 diff --git a/pydarn/radar_fov_files/064_lats.txt b/pydarn/radar_fov_files/064_lats.txt deleted file mode 100644 index 0152e7596..000000000 --- a/pydarn/radar_fov_files/064_lats.txt +++ /dev/null @@ -1,101 +0,0 @@ - 69.078 69.093 69.099 69.097 69.088 69.073 69.051 69.024 68.990 68.951 68.907 68.858 68.803 68.742 68.676 68.603 68.524 - 69.601 69.604 69.599 69.587 69.568 69.541 69.508 69.469 69.424 69.372 69.315 69.252 69.184 69.110 69.031 68.947 68.858 - 70.086 70.083 70.071 70.051 70.023 69.987 69.943 69.892 69.834 69.770 69.698 69.621 69.537 69.448 69.353 69.252 69.147 - 70.539 70.531 70.513 70.486 70.450 70.405 70.351 70.286 70.216 70.137 70.051 69.958 69.858 69.751 69.639 69.520 69.397 - 70.973 70.961 70.939 70.905 70.861 70.806 70.741 70.667 70.583 70.490 70.389 70.278 70.161 70.036 69.905 69.767 69.624 - 71.398 71.383 71.355 71.315 71.262 71.198 71.122 71.036 70.938 70.831 70.713 70.587 70.452 70.308 70.157 70.000 69.837 - 71.818 71.799 71.766 71.719 71.658 71.584 71.497 71.397 71.286 71.163 71.030 70.886 70.733 70.571 70.400 70.222 70.037 - 72.233 72.211 72.172 72.118 72.049 71.965 71.866 71.754 71.628 71.489 71.339 71.177 71.005 70.823 70.633 70.434 70.228 - 72.645 72.620 72.576 72.515 72.437 72.342 72.231 72.105 71.964 71.809 71.642 71.461 71.270 71.068 70.857 70.637 70.410 - 73.056 73.027 72.978 72.909 72.822 72.716 72.592 72.452 72.296 72.124 71.938 71.739 71.528 71.306 71.073 70.832 70.582 - 73.465 73.432 73.377 73.301 73.204 73.087 72.950 72.795 72.623 72.434 72.230 72.011 71.780 71.536 71.282 71.019 70.747 - 73.746 73.712 73.655 73.574 73.470 73.344 73.197 73.029 72.843 72.639 72.418 72.182 71.932 71.669 71.395 71.111 70.817 - 73.961 73.929 73.871 73.787 73.677 73.544 73.387 73.209 73.010 72.791 72.555 72.302 72.033 71.751 71.457 71.152 70.836 - 74.137 74.109 74.051 73.965 73.851 73.711 73.546 73.356 73.145 72.912 72.660 72.390 72.104 71.803 71.488 71.161 70.824 - 74.277 74.254 74.198 74.112 73.995 73.849 73.675 73.476 73.252 73.006 72.738 72.452 72.147 71.827 71.492 71.144 70.784 - 74.523 74.501 74.444 74.353 74.230 74.075 73.891 73.679 73.441 73.179 72.895 72.590 72.266 71.926 71.570 71.201 70.818 - 74.970 74.941 74.876 74.774 74.638 74.469 74.269 74.040 73.783 73.502 73.197 72.871 72.526 72.164 71.786 71.395 70.992 - 75.410 75.375 75.301 75.189 75.040 74.856 74.639 74.391 74.116 73.813 73.488 73.140 72.773 72.389 71.989 71.576 71.152 - 75.845 75.804 75.720 75.597 75.434 75.235 75.001 74.735 74.439 74.116 73.768 73.398 73.009 72.602 72.180 71.745 71.298 - 76.275 76.227 76.135 75.999 75.823 75.607 75.355 75.070 74.753 74.409 74.039 73.646 73.234 72.804 72.359 71.901 71.432 - 76.701 76.647 76.545 76.397 76.206 75.974 75.703 75.397 75.059 74.692 74.300 73.884 73.448 72.995 72.526 72.046 71.554 - 77.124 77.063 76.951 76.791 76.584 76.334 76.044 75.718 75.357 74.968 74.551 74.112 73.652 73.175 72.683 72.179 71.665 - 77.544 77.476 77.354 77.180 76.957 76.689 76.379 76.030 75.647 75.234 74.793 74.330 73.845 73.344 72.829 72.301 71.765 - 77.961 77.886 77.753 77.565 77.326 77.038 76.707 76.336 75.929 75.492 75.026 74.538 74.029 73.503 72.964 72.413 71.854 - 78.377 78.294 78.149 77.947 77.689 77.382 77.028 76.634 76.203 75.740 75.250 74.736 74.202 73.652 73.089 72.515 71.932 - 78.790 78.699 78.542 78.324 78.048 77.720 77.343 76.924 76.468 75.980 75.464 74.925 74.366 73.791 73.203 72.605 72.000 - 79.202 79.102 78.933 78.698 78.402 78.051 77.651 77.207 76.725 76.211 75.668 75.103 74.519 73.919 73.307 72.686 72.058 - 79.612 79.503 79.320 79.068 78.751 78.377 77.952 77.482 76.973 76.432 75.863 75.271 74.661 74.036 73.400 72.756 72.105 - 80.021 79.902 79.704 79.433 79.095 78.696 78.245 77.748 77.212 76.643 76.047 75.429 74.793 74.144 73.483 72.815 72.143 - 80.428 80.299 80.086 79.795 79.433 79.009 78.530 78.006 77.441 76.845 76.222 75.577 74.915 74.240 73.556 72.865 72.170 - 80.834 80.694 80.464 80.152 79.765 79.314 78.808 78.254 77.661 77.036 76.385 75.714 75.026 74.326 73.618 72.904 72.187 - 81.240 81.087 80.839 80.504 80.091 79.612 79.076 78.493 77.870 77.217 76.538 75.840 75.126 74.402 73.670 72.933 72.195 - 81.643 81.478 81.210 80.851 80.410 79.902 79.335 78.721 78.069 77.387 76.680 75.955 75.216 74.467 73.711 72.953 72.193 - 82.046 81.866 81.578 81.192 80.722 80.182 79.584 78.939 78.257 77.545 76.810 76.058 75.294 74.521 73.742 72.962 72.181 - 82.448 82.252 81.941 81.527 81.026 80.454 79.823 79.146 78.433 77.692 76.929 76.151 75.361 74.564 73.763 72.960 72.159 - 82.848 82.636 82.299 81.855 81.322 80.715 80.051 79.342 78.598 77.827 77.036 76.231 75.417 74.596 73.773 72.949 72.128 - 83.248 83.016 82.652 82.176 81.607 80.966 80.267 79.525 78.750 77.949 77.131 76.300 75.461 74.618 73.773 72.928 72.087 - 83.646 83.393 82.999 82.488 81.883 81.205 80.471 79.695 78.889 78.059 77.214 76.358 75.495 74.629 73.762 72.898 72.037 - 84.042 83.766 83.339 82.791 82.147 81.431 80.661 79.852 79.014 78.156 77.284 76.403 75.517 74.628 73.741 72.857 71.978 - 84.437 84.134 83.672 83.083 82.398 81.643 80.838 79.995 79.127 78.240 77.342 76.436 75.527 74.618 73.710 72.807 71.910 - 84.830 84.497 83.995 83.363 82.636 81.841 80.999 80.123 79.225 78.310 77.386 76.457 75.526 74.596 73.669 72.747 71.833 - 85.221 84.854 84.308 83.629 82.859 82.024 81.145 80.237 79.308 78.367 77.418 76.466 75.514 74.563 73.618 72.678 71.747 - 85.609 85.203 84.608 83.881 83.065 82.190 81.275 80.335 79.377 78.410 77.437 76.463 75.490 74.520 73.557 72.600 71.652 - 85.993 85.542 84.894 84.115 83.253 82.338 81.388 80.416 79.431 78.439 77.443 76.448 75.455 74.467 73.486 72.512 71.548 - 86.373 85.870 85.163 84.331 83.422 82.467 81.483 80.482 79.470 78.454 77.436 76.421 75.409 74.403 73.405 72.416 71.436 - 86.747 86.182 85.412 84.525 83.570 82.577 81.560 80.530 79.493 78.454 77.416 76.381 75.352 74.329 73.315 72.310 71.316 - 87.112 86.476 85.638 84.695 83.696 82.666 81.618 80.562 79.501 78.441 77.383 76.330 75.284 74.245 73.215 72.196 71.188 - 87.466 86.747 85.838 84.840 83.798 82.733 81.657 80.576 79.494 78.414 77.338 76.267 75.205 74.151 73.106 72.073 71.052 - 87.801 86.987 86.006 84.956 83.875 82.779 81.677 80.573 79.471 78.372 77.279 76.193 75.115 74.047 72.989 71.942 70.908 - 88.109 87.189 86.139 85.042 83.926 82.803 81.677 80.553 79.433 78.317 77.208 76.107 75.015 73.933 72.862 71.803 70.756 - 88.375 87.345 86.233 85.096 83.951 82.804 81.658 80.516 79.379 78.248 77.125 76.010 74.905 73.810 72.727 71.655 70.597 - 88.573 87.446 86.286 85.118 83.949 82.783 81.620 80.462 79.311 78.166 77.030 75.903 74.785 73.678 72.583 71.500 70.431 - 88.674 87.485 86.295 85.106 83.920 82.739 81.562 80.392 79.227 78.071 76.923 75.784 74.655 73.537 72.431 71.337 70.258 - 88.655 87.460 86.260 85.061 83.865 82.673 81.486 80.305 79.130 77.963 76.804 75.655 74.516 73.387 72.271 71.167 70.077 - 88.521 87.372 86.183 84.984 83.784 82.586 81.391 80.202 79.018 77.842 76.674 75.516 74.367 73.229 72.103 70.990 69.890 - 88.299 87.227 86.065 84.877 83.679 82.478 81.279 80.084 78.893 77.710 76.534 75.367 74.209 73.062 71.927 70.805 69.696 - 88.019 87.034 85.911 84.740 83.549 82.351 81.150 79.951 78.755 77.565 76.382 75.208 74.042 72.888 71.744 70.613 69.496 - 87.700 86.801 85.724 84.577 83.398 82.204 81.004 79.803 78.604 77.410 76.221 75.040 73.867 72.705 71.554 70.415 69.290 - 87.358 86.536 85.508 84.389 83.226 82.040 80.843 79.642 78.441 77.243 76.049 74.862 73.684 72.515 71.357 70.211 69.077 - 86.999 86.246 85.267 84.179 83.034 81.859 80.668 79.468 78.266 77.066 75.868 74.677 73.492 72.317 71.152 70.000 68.859 - 86.630 85.936 85.005 83.949 82.825 81.662 80.478 79.282 78.080 76.878 75.678 74.482 73.293 72.112 70.941 69.782 68.634 - 86.253 85.610 84.725 83.702 82.599 81.451 80.275 79.083 77.884 76.681 75.479 74.280 73.086 71.901 70.724 69.559 68.404 - 85.871 85.272 84.430 83.439 82.359 81.226 80.060 78.874 77.677 76.474 75.271 74.069 72.872 71.682 70.501 69.330 68.169 - 85.484 84.924 84.121 83.161 82.105 80.988 79.833 78.653 77.460 76.259 75.055 73.851 72.651 71.457 70.272 69.095 67.928 - 85.093 84.567 83.801 82.872 81.839 80.738 79.595 78.423 77.234 76.035 74.831 73.626 72.424 71.226 70.036 68.854 67.682 - 84.701 84.204 83.471 82.571 81.561 80.478 79.347 78.183 76.999 75.803 74.599 73.394 72.189 70.989 69.795 68.608 67.432 - 84.305 83.836 83.133 82.261 81.274 80.208 79.089 77.934 76.756 75.563 74.361 73.155 71.949 70.745 69.548 68.357 67.176 - 83.909 83.462 82.787 81.942 80.977 79.929 78.822 77.677 76.505 75.315 74.115 72.909 71.702 70.496 69.296 68.101 66.915 - 83.510 83.085 82.436 81.616 80.672 79.641 78.548 77.412 76.246 75.061 73.862 72.657 71.449 70.243 69.039 67.841 66.650 - 83.110 82.704 82.079 81.282 80.359 79.345 78.265 77.139 75.980 74.799 73.604 72.399 71.191 69.983 68.777 67.575 66.382 - 82.709 82.321 81.717 80.943 80.040 79.042 77.975 76.859 75.707 74.531 73.339 72.136 70.927 69.718 68.509 67.305 66.109 - 82.307 81.934 81.351 80.597 79.714 78.732 77.678 76.572 75.428 74.257 73.068 71.867 70.658 69.448 68.237 67.030 65.831 - 81.905 81.546 80.981 80.247 79.382 78.416 77.375 76.280 75.143 73.978 72.792 71.592 70.384 69.173 67.961 66.751 65.549 - 81.501 81.155 80.608 79.893 79.045 78.094 77.067 75.981 74.852 73.692 72.510 71.312 70.107 68.894 67.680 66.468 65.263 - 81.096 80.763 80.231 79.534 78.703 77.767 76.752 75.676 74.556 73.401 72.223 71.028 69.823 68.610 67.395 66.182 64.973 - 80.691 80.369 79.852 79.171 78.356 77.435 76.433 75.367 74.254 73.106 71.931 70.739 69.535 68.322 67.106 65.891 64.680 - 80.285 79.973 79.471 78.805 78.006 77.099 76.108 75.052 73.947 72.805 71.635 70.445 69.242 68.029 66.812 65.597 64.383 - 79.878 79.576 79.087 78.436 77.651 76.758 75.779 74.733 73.636 72.499 71.334 70.148 68.945 67.733 66.515 65.298 64.082 - 79.471 79.178 78.701 78.064 77.293 76.413 75.446 74.410 73.320 72.190 71.028 69.845 68.644 67.432 66.216 64.996 63.778 - 79.063 78.778 78.313 77.690 76.932 76.065 75.108 74.082 73.000 71.876 70.719 69.539 68.339 67.128 65.911 64.691 63.470 - 78.655 78.378 77.924 77.313 76.568 75.712 74.767 73.750 72.676 71.558 70.405 69.228 68.030 66.820 65.603 64.382 63.159 - 78.246 77.976 77.532 76.933 76.201 75.357 74.422 73.414 72.348 71.236 70.089 68.914 67.718 66.508 65.292 64.069 62.845 - 77.836 77.574 77.140 76.552 75.831 74.999 74.074 73.075 72.016 70.910 69.768 68.596 67.402 66.195 64.977 63.754 62.528 - 77.426 77.170 76.745 76.168 75.459 74.637 73.723 72.733 71.681 70.581 69.443 68.274 67.083 65.877 64.659 63.435 62.208 - 77.016 76.766 76.350 75.783 75.084 74.273 73.368 72.387 71.343 70.250 69.115 67.949 66.760 65.556 64.338 63.113 61.884 - 76.604 76.361 75.953 75.396 74.707 73.906 73.011 72.038 71.001 69.914 68.783 67.621 66.434 65.231 64.014 62.788 61.558 - 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38.664 30.397 22.471 14.997 8.033 1.597 -4.330 -9.786 -14.816 -19.472 -23.795 -27.833 -31.624 -35.206 -38.603 -41.844 -44.949 - 38.888 30.769 22.966 15.588 8.692 2.299 -3.607 -9.056 -14.092 -18.761 -23.103 -27.164 -30.980 -34.588 -38.012 -41.279 -44.410 - 39.103 31.122 23.437 16.151 9.322 2.971 -2.911 -8.353 -13.392 -18.072 -22.432 -26.513 -30.355 -33.986 -37.434 -40.726 -43.883 - 39.308 31.458 23.886 16.688 9.924 3.616 -2.242 -7.674 -12.717 -17.405 -21.779 -25.880 -29.744 -33.398 -36.870 -40.186 -43.367 - 39.505 31.779 24.313 17.201 10.501 4.235 -1.597 -7.019 -12.062 -16.757 -21.146 -25.264 -29.149 -32.824 -36.320 -39.659 -42.862 - 39.694 32.085 24.722 17.692 11.053 4.830 -0.977 -6.386 -11.427 -16.129 -20.530 -24.667 -28.568 -32.264 -35.781 -39.143 -42.369 - 39.876 32.379 25.112 18.162 11.584 5.403 -0.379 -5.777 -10.813 -15.520 -19.932 -24.084 -28.003 -31.718 -35.256 -38.638 -41.886 - 40.052 32.660 25.486 18.613 12.093 5.953 0.199 -5.186 -10.217 -14.928 -19.350 -23.516 -27.451 -31.185 -34.742 -38.145 -41.414 - 40.221 32.930 25.845 19.045 12.582 6.484 0.755 -4.614 -9.641 -14.354 -18.786 -22.963 -26.913 -30.665 -34.240 -37.663 -40.951 - 40.386 33.190 26.190 19.460 13.053 6.995 1.291 -4.061 -9.081 -13.797 -18.236 -22.424 -26.389 -30.156 -33.750 -37.191 -40.499 - 40.545 33.440 26.521 19.860 13.506 7.488 1.811 -3.525 -8.539 -13.255 -17.701 -21.899 -25.877 -29.660 -33.271 -36.730 -40.056 - 40.699 33.681 26.840 20.244 13.943 7.961 2.314 -3.006 -8.013 -12.728 -17.180 -21.388 -25.378 -29.176 -32.802 -36.279 -39.623 - 40.849 33.914 27.147 20.615 14.364 8.421 2.801 -2.503 -7.502 -12.219 -16.673 -20.889 -24.891 -28.702 -32.344 -35.837 -39.199 - 40.995 34.139 27.444 20.973 14.769 8.866 3.272 -2.015 -7.006 -11.722 -16.179 -20.403 -24.416 -28.240 -31.896 -35.405 -38.784 - 41.137 34.357 27.730 21.315 15.162 9.296 3.728 -1.542 -6.527 -11.238 -15.698 -19.929 -23.951 -27.788 -31.458 -34.982 -38.377 - 41.276 34.568 28.005 21.650 15.543 9.712 4.170 -1.083 -6.059 -10.767 -15.230 -19.466 -23.498 -27.346 -31.030 -34.569 -37.979 - 41.412 34.771 28.274 21.973 15.911 10.115 4.599 -0.637 -5.604 -10.309 -14.773 -19.015 -23.055 -26.914 -30.611 -34.164 -37.590 diff --git a/pydarn/radar_fov_files/065_lats.txt b/pydarn/radar_fov_files/065_lats.txt deleted file mode 100644 index e1ccbd050..000000000 --- a/pydarn/radar_fov_files/065_lats.txt +++ /dev/null @@ -1,101 +0,0 @@ - 63.323 63.371 63.409 63.439 63.462 63.477 63.486 63.488 63.484 63.474 63.457 63.434 63.404 63.368 63.324 63.272 63.211 - 63.837 63.882 63.918 63.948 63.970 63.984 63.992 63.993 63.987 63.973 63.953 63.926 63.893 63.852 63.805 63.750 63.688 - 64.307 64.358 64.398 64.430 64.454 64.470 64.477 64.477 64.468 64.452 64.428 64.396 64.354 64.307 64.252 64.189 64.119 - 64.740 64.795 64.840 64.876 64.902 64.920 64.928 64.927 64.917 64.897 64.869 64.831 64.784 64.729 64.665 64.593 64.512 - 65.151 65.213 65.264 65.305 65.335 65.354 65.363 65.362 65.349 65.326 65.293 65.249 65.195 65.132 65.058 64.974 64.882 - 65.550 65.620 65.678 65.724 65.758 65.780 65.790 65.788 65.773 65.747 65.708 65.658 65.597 65.524 65.439 65.345 65.239 - 65.942 66.020 66.085 66.137 66.175 66.200 66.210 66.208 66.191 66.161 66.118 66.061 65.991 65.908 65.814 65.707 65.588 - 66.329 66.416 66.488 66.546 66.588 66.615 66.627 66.624 66.605 66.571 66.523 66.459 66.381 66.288 66.182 66.063 65.930 - 66.712 66.808 66.888 66.951 66.998 67.028 67.041 67.038 67.017 66.979 66.924 66.854 66.767 66.664 66.546 66.414 66.267 - 67.091 67.196 67.284 67.354 67.406 67.439 67.453 67.449 67.426 67.384 67.324 67.246 67.150 67.036 66.907 66.761 66.600 - 67.467 67.583 67.679 67.756 67.812 67.848 67.864 67.859 67.834 67.788 67.721 67.635 67.530 67.406 67.264 67.104 66.928 - 67.705 67.832 67.938 68.023 68.085 68.125 68.143 68.138 68.111 68.061 67.989 67.895 67.781 67.645 67.491 67.317 67.125 - 67.871 68.011 68.127 68.221 68.290 68.335 68.355 68.350 68.321 68.268 68.190 68.089 67.964 67.818 67.649 67.460 67.251 - 67.992 68.146 68.275 68.378 68.454 68.504 68.527 68.524 68.493 68.436 68.352 68.243 68.109 67.950 67.767 67.562 67.335 - 68.073 68.243 68.385 68.498 68.583 68.639 68.665 68.662 68.630 68.569 68.480 68.362 68.218 68.046 67.849 67.627 67.381 - 68.269 68.452 68.606 68.729 68.820 68.881 68.910 68.907 68.873 68.808 68.713 68.587 68.432 68.248 68.037 67.799 67.535 - 68.686 68.878 69.040 69.168 69.265 69.328 69.358 69.354 69.317 69.248 69.146 69.012 68.847 68.652 68.428 68.177 67.899 - 69.094 69.296 69.466 69.601 69.702 69.769 69.800 69.795 69.755 69.681 69.572 69.429 69.254 69.047 68.810 68.545 68.251 - 69.494 69.707 69.885 70.028 70.134 70.204 70.236 70.231 70.188 70.108 69.992 69.840 69.654 69.435 69.185 68.904 68.595 - 69.887 70.111 70.299 70.450 70.562 70.635 70.668 70.662 70.616 70.531 70.407 70.246 70.049 69.817 69.552 69.256 68.929 - 70.275 70.510 70.708 70.867 70.985 71.062 71.097 71.090 71.040 70.950 70.818 70.647 70.438 70.193 69.913 69.600 69.257 - 70.657 70.905 71.113 71.281 71.405 71.486 71.522 71.514 71.462 71.365 71.226 71.044 70.823 70.564 70.268 69.938 69.577 - 71.034 71.295 71.515 71.691 71.822 71.907 71.945 71.936 71.880 71.777 71.629 71.437 71.203 70.929 70.617 70.270 69.890 - 71.406 71.681 71.912 72.098 72.236 72.326 72.366 72.356 72.296 72.187 72.030 71.827 71.579 71.290 70.961 70.596 70.197 - 71.774 72.063 72.307 72.503 72.648 72.743 72.785 72.774 72.710 72.594 72.428 72.213 71.952 71.646 71.300 70.916 70.497 - 72.138 72.442 72.698 72.905 73.058 73.158 73.201 73.189 73.122 72.999 72.823 72.596 72.320 71.998 71.634 71.230 70.791 - 72.497 72.817 73.087 73.304 73.466 73.571 73.617 73.604 73.532 73.402 73.216 72.976 72.685 72.346 71.963 71.539 71.078 - 72.852 73.188 73.473 73.702 73.872 73.983 74.031 74.017 73.941 73.803 73.606 73.353 73.046 72.689 72.287 71.842 71.360 - 73.204 73.557 73.856 74.097 74.277 74.393 74.444 74.429 74.348 74.202 73.994 73.727 73.403 73.028 72.605 72.139 71.635 - 73.551 73.922 74.236 74.490 74.680 74.802 74.856 74.839 74.754 74.600 74.380 74.098 73.757 73.363 72.919 72.431 71.904 - 73.894 74.283 74.614 74.881 75.081 75.211 75.267 75.249 75.158 74.995 74.763 74.466 74.107 73.693 73.228 72.717 72.166 - 74.233 74.642 74.989 75.271 75.482 75.618 75.677 75.658 75.562 75.390 75.145 74.831 74.454 74.019 73.531 72.997 72.422 - 74.567 74.996 75.362 75.658 75.880 76.024 76.086 76.066 75.964 75.782 75.523 75.193 74.796 74.340 73.829 73.271 72.671 - 74.897 75.347 75.732 76.044 76.278 76.430 76.495 76.474 76.366 76.173 75.900 75.552 75.135 74.656 74.121 73.538 72.913 - 75.222 75.694 76.098 76.427 76.674 76.834 76.904 76.881 76.766 76.563 76.274 75.908 75.470 74.967 74.408 73.799 73.148 - 75.543 76.038 76.462 76.809 77.069 77.238 77.311 77.287 77.166 76.950 76.646 76.260 75.800 75.273 74.688 74.054 73.376 - 75.858 76.377 76.823 77.188 77.463 77.641 77.719 77.693 77.564 77.336 77.016 76.609 76.125 75.573 74.963 74.301 73.596 - 76.168 76.712 77.181 77.565 77.855 78.044 78.126 78.098 77.962 77.721 77.382 76.954 76.446 75.868 75.230 74.541 73.809 - 76.472 77.042 77.535 77.940 78.246 78.446 78.532 78.503 78.358 78.103 77.746 77.295 76.762 76.157 75.491 74.774 74.014 - 76.770 77.367 77.885 78.312 78.636 78.847 78.939 78.907 78.754 78.484 78.106 77.632 77.072 76.439 75.744 74.998 74.210 - 77.062 77.688 78.232 78.682 79.024 79.248 79.345 79.311 79.149 78.863 78.464 77.964 77.377 76.715 75.991 75.215 74.398 - 77.347 78.002 78.574 79.048 79.411 79.648 79.751 79.715 79.542 79.239 78.818 78.291 77.675 76.983 76.229 75.424 74.578 - 77.625 78.311 78.912 79.412 79.795 80.047 80.156 80.118 79.934 79.613 79.168 78.614 77.967 77.244 76.459 75.623 74.748 - 77.896 78.613 79.244 79.772 80.178 80.445 80.562 80.521 80.326 79.985 79.514 78.930 78.252 77.497 76.680 75.814 74.909 - 78.158 78.908 79.572 80.129 80.559 80.843 80.967 80.924 80.715 80.353 79.855 79.240 78.530 77.742 76.893 75.995 75.060 - 78.412 79.196 79.893 80.481 80.937 81.240 81.372 81.326 81.104 80.719 80.191 79.544 78.800 77.978 77.096 76.166 75.202 - 78.657 79.476 80.208 80.829 81.313 81.636 81.777 81.728 81.490 81.081 80.522 79.841 79.061 78.205 77.289 76.328 75.333 - 78.892 79.747 80.515 81.171 81.686 82.031 82.182 82.129 81.875 81.439 80.847 80.130 79.313 78.421 77.472 76.479 75.454 - 79.117 80.009 80.815 81.508 82.056 82.425 82.587 82.530 82.258 81.792 81.165 80.410 79.556 78.627 77.644 76.619 75.565 - 79.331 80.261 81.107 81.839 82.422 82.817 82.992 82.931 82.638 82.141 81.476 80.681 79.788 78.823 77.804 76.748 75.664 - 79.533 80.502 81.389 82.162 82.783 83.208 83.397 83.331 83.015 82.483 81.778 80.942 80.009 79.006 77.954 76.866 75.753 - 79.723 80.732 81.661 82.478 83.140 83.597 83.802 83.730 83.389 82.820 82.072 81.192 80.218 79.178 78.091 76.971 75.830 - 79.900 80.948 81.921 82.784 83.491 83.984 84.207 84.128 83.760 83.149 82.355 81.430 80.414 79.336 78.215 77.065 75.896 - 80.063 81.152 82.169 83.080 83.835 84.368 84.612 84.526 84.125 83.469 82.626 81.655 80.597 79.482 78.327 77.147 75.950 - 80.212 81.341 82.403 83.365 84.172 84.750 85.016 84.922 84.486 83.780 82.885 81.866 80.766 79.613 78.425 77.216 75.992 - 80.346 81.514 82.622 83.636 84.499 85.127 85.421 85.317 84.839 84.079 83.130 82.062 80.920 79.730 78.510 77.272 76.023 - 80.464 81.671 82.825 83.892 84.814 85.499 85.826 85.710 85.185 84.364 83.359 82.242 81.058 79.832 78.581 77.315 76.041 - 80.566 81.811 83.010 84.131 85.117 85.865 86.230 86.101 85.520 84.635 83.570 82.404 81.179 79.919 78.638 77.346 76.048 - 80.651 81.932 83.175 84.351 85.403 86.223 86.634 86.488 85.843 84.887 83.762 82.548 81.283 79.989 78.680 77.363 76.042 - 80.718 82.034 83.320 84.549 85.670 86.570 87.037 86.870 86.151 85.119 83.934 82.672 81.369 80.044 78.708 77.366 76.025 - 80.768 82.116 83.442 84.724 85.914 86.903 87.440 87.246 86.438 85.327 84.082 82.775 81.436 80.082 78.720 77.357 75.995 - 80.800 82.178 83.541 84.871 86.131 87.216 87.842 87.612 86.701 85.507 84.205 82.856 81.485 80.103 78.718 77.334 75.953 - 80.814 82.219 83.615 84.990 86.315 87.502 88.241 87.962 86.932 85.658 84.302 82.915 81.514 80.108 78.701 77.298 75.899 - 80.809 82.238 83.664 85.078 86.462 87.751 88.636 88.287 87.124 85.774 84.371 82.951 81.524 80.095 78.670 77.249 75.834 - 80.786 82.235 83.686 85.133 86.566 87.948 89.021 88.571 87.269 85.853 84.412 82.963 81.513 80.066 78.623 77.187 75.757 - 80.744 82.211 83.682 85.154 86.623 88.077 89.377 88.781 87.358 85.893 84.423 82.952 81.484 80.020 78.562 77.111 75.668 - 80.685 82.166 83.651 85.140 86.632 88.125 89.612 88.878 87.386 85.893 84.403 82.917 81.435 79.958 78.487 77.024 75.568 - 80.607 82.099 83.594 85.093 86.592 88.086 89.504 88.831 87.350 85.853 84.355 82.859 81.366 79.879 78.398 76.923 75.457 - 80.513 82.011 83.512 85.012 86.503 87.963 89.179 88.656 87.254 85.774 84.277 82.778 81.279 79.784 78.295 76.811 75.335 - 80.401 81.903 83.405 84.899 86.371 87.771 88.801 88.394 87.103 85.657 84.172 82.675 81.174 79.674 78.178 76.687 75.203 - 80.273 81.776 83.274 84.756 86.198 87.525 88.408 88.080 86.905 85.506 84.041 82.551 81.051 79.549 78.048 76.551 75.059 - 80.129 81.631 83.121 84.586 85.991 87.240 88.008 87.735 86.668 85.324 83.884 82.406 80.911 79.409 77.905 76.404 74.906 - 79.970 81.468 82.947 84.390 85.754 86.927 87.605 87.371 86.400 85.114 83.705 82.243 80.755 79.255 77.751 76.245 74.743 - 79.797 81.288 82.754 84.172 85.492 86.593 87.199 86.995 86.107 84.879 83.505 82.062 80.584 79.088 77.584 76.077 74.571 - 79.609 81.092 82.543 83.934 85.209 86.243 86.793 86.612 85.794 84.624 83.285 81.863 80.397 78.908 77.405 75.898 74.389 - 79.409 80.882 82.315 83.678 84.908 85.882 86.385 86.222 85.465 84.350 83.048 81.649 80.197 78.715 77.216 75.708 74.198 - 79.196 80.658 82.072 83.405 84.592 85.512 85.976 85.828 85.124 84.060 82.795 81.421 79.984 78.511 77.016 75.510 73.998 - 78.972 80.421 81.816 83.119 84.264 85.135 85.566 85.431 84.772 83.756 82.528 81.179 79.758 78.295 76.806 75.302 73.790 - 78.736 80.172 81.546 82.819 83.925 84.752 85.156 85.031 84.412 83.440 82.248 80.924 79.521 78.069 76.586 75.085 73.574 - 78.490 79.912 81.265 82.509 83.577 84.366 84.745 84.629 84.046 83.114 81.956 80.658 79.273 77.832 76.357 74.860 73.349 - 78.234 79.641 80.973 82.189 83.222 83.975 84.334 84.225 83.673 82.779 81.654 80.382 79.014 77.586 76.119 74.626 73.118 - 77.968 79.361 80.672 81.860 82.860 83.581 83.922 83.820 83.295 82.436 81.343 80.095 78.747 77.332 75.873 74.385 72.878 - 77.694 79.072 80.362 81.523 82.492 83.185 83.510 83.414 82.913 82.086 81.023 79.800 78.470 77.068 75.618 74.136 72.632 - 77.412 78.774 80.044 81.179 82.120 82.786 83.098 83.006 82.528 81.729 80.695 79.496 78.185 76.797 75.356 73.880 72.379 - 77.122 78.469 79.719 80.829 81.743 82.385 82.684 82.598 82.139 81.368 80.360 79.185 77.892 76.517 75.086 73.616 72.120 - 76.824 78.156 79.386 80.474 81.362 81.983 82.271 82.188 81.747 81.001 80.020 78.866 77.591 76.231 74.810 73.347 71.854 - 76.520 77.837 79.048 80.113 80.978 81.579 81.857 81.778 81.353 80.630 79.673 78.541 77.284 75.938 74.527 73.070 71.582 - 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141.581 135.108 127.853 119.750 110.801 101.122 90.964 80.691 70.696 61.302 52.705 44.968 38.060 31.899 26.384 21.415 16.900 - 140.797 134.341 127.135 119.124 110.320 100.837 90.912 80.881 71.105 61.886 53.409 45.743 38.868 32.711 27.182 22.188 17.642 - 140.047 133.609 126.453 118.534 109.869 100.571 90.864 81.060 71.490 62.436 54.076 46.481 39.640 33.492 27.953 22.937 18.363 - 139.327 132.911 125.806 117.976 109.444 100.322 90.820 81.228 71.852 62.956 54.709 47.185 40.381 34.243 28.696 23.662 19.062 - 138.637 132.245 125.192 117.449 109.045 100.089 90.780 81.386 72.194 63.447 55.310 47.857 41.090 34.965 29.414 24.364 19.741 - 137.976 131.608 124.607 116.949 108.668 99.869 90.742 81.536 72.516 63.913 55.882 48.499 41.771 35.661 30.108 25.044 20.400 diff --git a/pydarn/radar_fov_files/066_lats.txt b/pydarn/radar_fov_files/066_lats.txt deleted file mode 100644 index fc7c6f742..000000000 --- a/pydarn/radar_fov_files/066_lats.txt +++ /dev/null @@ -1,101 +0,0 @@ - 70.237 70.320 70.400 70.477 70.551 70.622 70.690 70.755 70.817 70.875 70.930 70.981 71.027 71.069 71.106 71.136 71.161 - 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83.740 83.760 83.742 83.686 83.594 83.467 83.309 83.122 82.908 82.672 82.414 82.140 81.849 81.546 81.232 80.910 80.581 - 83.901 83.931 83.919 83.864 83.768 83.634 83.465 83.264 83.035 82.781 82.504 82.209 81.897 81.573 81.238 80.893 80.541 - 84.023 84.066 84.061 84.009 83.911 83.772 83.593 83.379 83.135 82.863 82.569 82.254 81.921 81.575 81.218 80.851 80.476 - 84.257 84.309 84.307 84.253 84.148 83.997 83.804 83.573 83.309 83.016 82.699 82.362 82.006 81.637 81.257 80.868 80.470 - 84.707 84.759 84.750 84.683 84.561 84.387 84.168 83.909 83.615 83.293 82.947 82.581 82.199 81.803 81.398 80.985 80.565 - 85.150 85.202 85.186 85.105 84.962 84.763 84.515 84.225 83.900 83.547 83.171 82.776 82.366 81.944 81.514 81.077 80.635 - 85.586 85.639 85.616 85.518 85.351 85.123 84.843 84.520 84.163 83.777 83.370 82.945 82.508 82.060 81.605 81.145 80.681 - 86.017 86.072 86.040 85.922 85.728 85.467 85.152 84.794 84.401 83.982 83.544 83.090 82.624 82.151 81.672 81.190 80.705 - 86.443 86.502 86.458 86.317 86.091 85.793 85.439 85.043 84.614 84.161 83.691 83.208 82.716 82.218 81.715 81.212 80.707 - 86.865 86.927 86.871 86.701 86.437 86.097 85.701 85.265 84.799 84.312 83.811 83.300 82.782 82.260 81.736 81.212 80.688 - 87.281 87.350 87.277 87.072 86.762 86.375 85.934 85.457 84.954 84.434 83.903 83.365 82.822 82.278 81.733 81.190 80.649 - 87.693 87.771 87.675 87.425 87.061 86.622 86.134 85.616 85.077 84.525 83.966 83.403 82.838 82.273 81.709 81.147 80.590 - 88.098 88.189 88.061 87.753 87.327 86.832 86.297 85.738 85.166 84.585 84.000 83.414 82.828 82.244 81.662 81.085 80.512 - 88.493 88.605 88.430 88.045 87.549 86.997 86.417 85.822 85.219 84.613 84.005 83.398 82.794 82.192 81.595 81.003 80.416 - 88.870 89.018 88.767 88.285 87.716 87.112 86.492 85.866 85.237 84.608 83.981 83.356 82.736 82.119 81.508 80.902 80.302 - 89.206 89.426 89.040 88.449 87.816 87.169 86.519 85.868 85.219 84.572 83.929 83.289 82.654 82.025 81.401 80.783 80.172 - 89.426 89.805 89.183 88.513 87.840 87.167 86.497 85.830 85.166 84.505 83.849 83.197 82.551 81.911 81.276 80.648 80.026 - 89.391 89.704 89.133 88.464 87.786 87.106 86.428 85.752 85.078 84.409 83.743 83.082 82.427 81.777 81.133 80.496 79.865 - 89.133 89.310 88.917 88.314 87.661 86.990 86.314 85.636 84.959 84.284 83.613 82.945 82.282 81.625 80.974 80.329 79.691 - 88.788 88.904 88.610 88.087 87.474 86.825 86.160 85.487 84.810 84.134 83.459 82.787 82.119 81.457 80.799 80.147 79.503 - 88.411 88.497 88.261 87.807 87.240 86.619 85.970 85.306 84.635 83.960 83.284 82.610 81.940 81.272 80.609 79.953 79.302 - 88.022 88.089 87.891 87.491 86.969 86.379 85.750 85.099 84.435 83.764 83.090 82.416 81.743 81.073 80.406 79.745 79.090 - 87.627 87.682 87.510 87.153 86.670 86.111 85.503 84.867 84.213 83.548 82.878 82.204 81.531 80.859 80.190 79.526 78.866 - 87.228 87.274 87.121 86.798 86.351 85.820 85.235 84.615 83.972 83.315 82.649 81.979 81.306 80.633 79.962 79.295 78.632 - 86.827 86.867 86.728 86.433 86.016 85.512 84.949 84.345 83.715 83.066 82.406 81.739 81.068 80.395 79.723 79.054 78.389 - 86.425 86.460 86.333 86.060 85.669 85.189 84.647 84.060 83.442 82.803 82.149 81.486 80.817 80.146 79.474 78.804 78.137 - 86.022 86.054 85.936 85.681 85.312 84.855 84.332 83.762 83.156 82.527 81.881 81.222 80.556 79.886 79.215 78.544 77.876 - 85.619 85.647 85.537 85.298 84.949 84.512 84.007 83.452 82.859 82.239 81.601 80.948 80.286 79.618 78.947 78.276 77.607 - 85.215 85.241 85.137 84.911 84.579 84.160 83.673 83.132 82.552 81.943 81.311 80.664 80.006 79.340 78.671 78.000 77.330 - 84.811 84.836 84.737 84.522 84.205 83.802 83.330 82.804 82.236 81.637 81.013 80.371 79.717 79.055 78.387 77.717 77.047 - 84.407 84.430 84.336 84.131 83.827 83.439 82.982 82.468 81.913 81.322 80.706 80.071 79.421 78.762 78.096 77.427 76.757 - 84.003 84.024 83.934 83.738 83.446 83.072 82.627 82.126 81.582 81.001 80.392 79.763 79.118 78.462 77.799 77.131 76.461 - 83.599 83.619 83.532 83.344 83.063 82.700 82.268 81.780 81.245 80.673 80.072 79.448 78.808 78.156 77.495 76.829 76.160 - 83.194 83.213 83.130 82.949 82.677 82.325 81.906 81.427 80.902 80.339 79.745 79.128 78.493 77.844 77.186 76.521 75.853 - 82.790 82.808 82.728 82.553 82.289 81.949 81.538 81.070 80.554 79.999 79.413 78.802 78.172 77.527 76.871 76.208 75.541 - 82.385 82.403 82.325 82.156 81.902 81.569 81.168 80.709 80.202 79.656 79.076 78.471 77.845 77.204 76.551 75.890 75.224 - 81.982 81.999 81.924 81.759 81.511 81.186 80.795 80.345 79.847 79.307 78.735 78.135 77.514 76.877 76.227 75.568 74.904 - 81.577 81.594 81.521 81.361 81.119 80.802 80.419 79.977 79.487 78.955 78.389 77.795 77.179 76.545 75.898 75.241 74.579 - 81.172 81.188 81.117 80.961 80.725 80.416 80.040 79.607 79.124 78.600 78.040 77.452 76.840 76.210 75.565 74.912 74.250 - 80.767 80.783 80.714 80.562 80.331 80.028 79.660 79.234 78.759 78.241 77.687 77.104 76.497 75.870 75.229 74.578 73.917 - 80.361 80.377 80.310 80.161 79.936 79.639 79.278 78.859 78.390 77.879 77.331 76.753 76.150 75.528 74.890 74.240 73.581 - 79.956 79.971 79.906 79.761 79.540 79.249 78.894 78.482 78.020 77.514 76.972 76.399 75.801 75.181 74.547 73.899 73.241 - 79.550 79.566 79.502 79.360 79.143 78.858 78.509 78.103 77.647 77.147 76.610 76.042 75.448 74.833 74.201 73.555 72.899 - 79.145 79.160 79.097 78.958 78.746 78.465 78.122 77.722 77.272 76.778 76.246 75.682 75.093 74.481 73.851 73.208 72.553 - 78.739 78.754 78.693 78.556 78.348 78.072 77.734 77.339 76.895 76.406 75.879 75.320 74.735 74.127 73.499 72.858 72.204 - 78.333 78.348 78.288 78.154 77.949 77.678 77.344 76.955 76.516 76.032 75.510 74.957 74.375 73.769 73.145 72.505 71.853 - 77.927 77.942 77.883 77.751 77.550 77.282 76.954 76.570 76.135 75.657 75.139 74.590 74.012 73.409 72.787 72.150 71.500 - 77.520 77.535 77.478 77.348 77.150 76.887 76.562 76.183 75.753 75.279 74.768 74.222 73.646 73.047 72.428 71.792 71.144 - 77.114 77.129 77.072 76.945 76.750 76.490 76.170 75.795 75.370 74.902 74.393 73.851 73.279 72.683 72.066 71.432 70.785 - 76.707 76.722 76.666 76.541 76.349 76.092 75.776 75.406 74.986 74.521 74.017 73.478 72.910 72.316 71.702 71.070 70.425 - 76.300 76.315 76.260 76.137 75.947 75.694 75.382 75.017 74.600 74.139 73.639 73.104 72.539 71.948 71.336 70.706 70.062 - 75.893 75.908 75.854 75.733 75.546 75.296 74.989 74.626 74.213 73.756 73.259 72.728 72.166 71.578 70.968 70.340 69.697 - 75.485 75.500 75.448 75.328 75.143 74.898 74.593 74.234 73.825 73.372 72.878 72.350 71.791 71.206 70.598 69.972 69.331 - 75.079 75.094 75.043 74.925 74.742 74.498 74.196 73.841 73.436 72.986 72.496 71.971 71.415 70.832 70.227 69.602 68.962 - 74.671 74.687 74.636 74.519 74.339 74.098 73.799 73.447 73.045 72.599 72.112 71.590 71.037 70.457 69.853 69.230 68.592 - 74.263 74.279 74.229 74.114 73.936 73.697 73.401 73.052 72.654 72.210 71.727 71.208 70.657 70.080 69.478 68.857 68.220 - 73.855 73.871 73.821 73.708 73.532 73.296 73.003 72.656 72.261 71.821 71.341 70.825 70.277 69.701 69.102 68.482 67.846 - 73.446 73.462 73.414 73.302 73.128 72.894 72.603 72.260 71.868 71.431 70.953 70.440 69.895 69.321 68.724 68.106 67.471 - 73.037 73.054 73.006 72.895 72.723 72.491 72.203 71.863 71.474 71.039 70.565 70.054 69.511 68.940 68.344 67.728 67.094 - 72.628 72.645 72.598 72.488 72.318 72.088 71.803 71.465 71.078 70.647 70.175 69.667 69.126 68.557 67.963 67.348 66.716 - 72.219 72.235 72.189 72.081 71.912 71.685 71.402 71.066 70.682 70.254 69.785 69.279 68.740 68.173 67.581 66.967 66.336 - 71.809 71.826 71.780 71.673 71.506 71.281 71.000 70.667 70.286 69.860 69.393 68.889 68.353 67.788 67.197 66.585 65.955 - 71.399 71.416 71.371 71.265 71.100 70.876 70.597 70.267 69.888 69.464 69.000 68.499 67.965 67.401 66.812 66.202 65.572 - 70.988 71.006 70.962 70.857 70.693 70.471 70.194 69.866 69.490 69.069 68.606 68.107 67.575 67.014 66.426 65.817 65.188 - 70.577 70.595 70.552 70.448 70.285 70.065 69.791 69.465 69.091 68.672 68.212 67.715 67.185 66.625 66.039 65.431 64.803 - 70.166 70.184 70.142 70.039 69.878 69.659 69.387 69.063 68.691 68.274 67.816 67.321 66.793 66.235 65.650 65.043 64.416 - 69.755 69.773 69.731 69.629 69.469 69.253 68.982 68.660 68.290 67.875 67.420 66.927 66.400 65.844 65.261 64.655 64.029 - 69.343 69.362 69.320 69.220 69.061 68.846 68.577 68.257 67.889 67.476 67.023 66.532 66.007 65.452 64.870 64.265 63.640 - 68.931 68.950 68.909 68.809 68.652 68.438 68.171 67.853 67.487 67.076 66.624 66.135 65.612 65.059 64.478 63.874 63.249 - 68.518 68.537 68.497 68.399 68.242 68.030 67.765 67.448 67.084 66.675 66.225 65.738 65.216 64.664 64.085 63.482 62.858 - 68.105 68.125 68.085 67.987 67.832 67.622 67.358 67.043 66.681 66.274 65.826 65.340 64.820 64.269 63.691 63.089 62.466 - 67.692 67.712 67.673 67.576 67.422 67.213 66.950 66.637 66.277 65.871 65.425 64.941 64.422 63.873 63.296 62.694 62.072 - 67.278 67.298 67.260 67.164 67.011 66.803 66.542 66.231 65.872 65.468 65.024 64.541 64.024 63.476 62.900 62.299 61.677 - 66.864 66.884 66.847 66.751 66.600 66.393 66.133 65.824 65.466 65.064 64.621 64.140 63.624 63.077 62.502 61.903 61.281 - 66.449 66.470 66.433 66.339 66.188 65.982 65.724 65.416 65.060 64.660 64.218 63.739 63.224 62.678 62.104 61.505 60.884 - 66.034 66.055 66.019 65.925 65.776 65.571 65.315 65.008 64.653 64.255 63.814 63.336 62.823 62.278 61.705 61.107 60.487 - 65.618 65.640 65.604 65.512 65.363 65.160 64.904 64.599 64.246 63.849 63.410 62.933 62.421 61.877 61.305 60.708 60.088 - 65.202 65.224 65.189 65.097 64.950 64.748 64.493 64.189 63.838 63.442 63.005 62.529 62.018 61.475 60.904 60.307 59.687 - 64.786 64.808 64.774 64.683 64.536 64.335 64.082 63.779 63.429 63.035 62.598 62.124 61.614 61.073 60.502 59.906 59.286 - 64.369 64.392 64.358 64.267 64.122 63.922 63.670 63.369 63.020 62.626 62.192 61.718 61.210 60.669 60.099 59.503 58.884 - 63.952 63.975 63.942 63.852 63.707 63.508 63.258 62.957 62.610 62.218 61.784 61.312 60.804 60.264 59.695 59.100 58.481 - 63.534 63.558 63.525 63.436 63.292 63.094 62.844 62.545 62.199 61.808 61.376 60.905 60.398 59.859 59.290 58.696 58.077 - 63.115 63.140 63.107 63.019 62.876 62.679 62.431 62.133 61.788 61.398 60.967 60.497 59.991 59.453 58.885 58.290 57.672 - 62.696 62.721 62.689 62.602 62.460 62.264 62.017 61.720 61.376 60.987 60.557 60.088 59.583 59.045 58.478 57.884 57.266 - 62.277 62.302 62.271 62.184 62.043 61.848 61.602 61.306 60.963 60.575 60.146 59.678 59.174 58.637 58.071 57.477 56.859 - 61.857 61.883 61.852 61.766 61.626 61.432 61.186 60.891 60.549 60.163 59.735 59.268 58.765 58.228 57.662 57.069 56.451 - 61.437 61.463 61.433 61.348 61.208 61.015 60.770 60.476 60.135 59.750 59.323 58.856 58.354 57.819 57.253 56.660 56.042 - 61.016 61.042 61.013 60.928 60.789 60.597 60.354 60.061 59.721 59.336 58.910 58.444 57.943 57.408 56.843 56.250 55.632 - 60.594 60.621 60.593 60.509 60.370 60.179 59.936 59.644 59.305 58.922 58.496 58.032 57.531 56.996 56.431 55.839 55.221 - 60.172 60.200 60.172 60.088 59.951 59.760 59.518 59.227 58.889 58.507 58.082 57.618 57.118 56.584 56.019 55.427 54.809 - 59.750 59.778 59.750 59.667 59.531 59.341 59.100 58.810 58.473 58.091 57.667 57.204 56.704 56.171 55.606 55.014 54.396 - 59.326 59.355 59.328 59.246 59.110 58.921 58.681 58.392 58.055 57.674 57.251 56.789 56.290 55.757 55.193 54.600 53.983 - 58.903 58.932 58.905 58.824 58.689 58.500 58.261 57.973 57.637 57.257 56.835 56.373 55.874 55.342 54.778 54.186 53.568 - 58.478 58.508 58.482 58.401 58.267 58.079 57.841 57.553 57.219 56.839 56.417 55.956 55.458 54.926 54.362 53.770 53.152 - 58.053 58.083 58.058 57.978 57.844 57.658 57.420 57.133 56.799 56.420 55.999 55.539 55.041 54.509 53.946 53.354 52.735 - 57.628 57.658 57.634 57.554 57.421 57.235 56.998 56.712 56.379 56.001 55.581 55.121 54.623 54.092 53.529 52.936 52.318 - 57.201 57.233 57.209 57.130 56.997 56.812 56.576 56.291 55.958 55.581 55.161 54.701 54.205 53.673 53.110 52.518 51.899 - 56.774 56.806 56.783 56.705 56.573 56.389 56.153 55.868 55.537 55.160 54.741 54.282 53.785 53.254 52.691 52.099 51.479 - 56.347 56.380 56.357 56.279 56.148 55.964 55.729 55.445 55.114 54.738 54.320 53.861 53.365 52.834 52.271 51.678 51.059 diff --git a/pydarn/radar_fov_files/090_lons.txt b/pydarn/radar_fov_files/090_lons.txt deleted file mode 100644 index d1ac52a01..000000000 --- a/pydarn/radar_fov_files/090_lons.txt +++ /dev/null @@ -1,111 +0,0 @@ - 14.717 15.134 15.541 15.939 16.328 16.706 17.073 17.427 17.766 18.091 18.398 18.687 18.956 19.203 19.425 19.621 19.788 - 14.883 15.419 15.950 16.476 16.992 17.498 17.991 18.469 18.929 19.370 19.790 20.186 20.557 20.902 21.219 21.505 21.761 - 14.966 15.646 16.323 16.994 17.655 18.302 18.933 19.544 20.133 20.696 21.231 21.736 22.208 22.647 23.049 23.415 23.742 - 14.968 15.809 16.647 17.477 18.295 19.096 19.875 20.628 21.351 22.041 22.694 23.308 23.881 24.409 24.892 25.328 25.717 - 14.925 15.942 16.956 17.961 18.950 19.917 20.854 21.758 22.623 23.445 24.219 24.942 25.612 26.228 26.786 27.287 27.730 - 14.851 16.062 17.269 18.465 19.639 20.785 21.893 22.956 23.970 24.927 25.824 26.656 27.423 28.120 28.749 29.307 29.795 - 14.752 16.176 17.595 18.999 20.376 21.715 23.005 24.238 25.406 26.503 27.524 28.465 29.323 30.098 30.789 31.396 31.920 - 14.630 16.288 17.942 19.575 21.173 22.721 24.206 25.618 26.947 28.187 29.331 30.377 31.323 32.167 32.912 33.558 34.108 - 14.488 16.406 18.319 20.206 22.045 23.820 25.515 27.110 28.606 29.990 31.256 32.403 33.428 34.334 35.121 35.795 36.359 - 14.318 16.527 18.728 20.894 22.999 25.021 26.938 28.737 30.404 31.931 33.310 34.549 35.645 36.599 37.418 38.106 38.671 - 14.122 16.655 19.178 21.656 24.054 26.343 28.499 30.504 32.344 34.013 35.508 36.824 37.977 38.967 39.801 40.490 41.040 - 13.619 16.445 19.260 22.020 24.683 27.212 29.580 31.765 33.754 35.540 37.123 38.507 39.690 40.699 41.535 42.210 42.736 - 12.898 16.003 19.102 22.137 25.059 27.823 30.395 32.751 34.879 36.772 38.433 39.868 41.078 42.096 42.925 43.579 44.071 - 12.015 15.396 18.777 22.090 25.272 28.270 31.046 33.571 35.833 37.828 39.559 41.039 42.269 43.289 44.104 44.730 45.183 - 10.990 14.636 18.294 21.882 25.324 28.558 31.535 34.227 36.619 38.710 40.508 42.026 43.270 44.287 45.083 45.677 46.086 - 10.191 14.190 18.211 22.154 25.924 29.445 32.662 35.543 38.076 40.264 42.121 43.668 44.912 45.913 46.676 47.224 47.578 - 9.849 14.414 19.003 23.482 27.726 31.640 35.164 38.268 40.948 43.221 45.112 46.654 47.882 48.813 49.510 49.983 50.258 - 9.416 14.645 19.901 24.998 29.773 34.110 37.944 41.254 44.054 46.376 48.266 49.770 50.933 51.783 52.389 52.767 52.945 - 8.870 14.890 20.939 26.756 32.126 36.910 41.046 44.532 47.410 49.738 51.583 53.009 54.075 54.830 55.306 55.568 55.632 - 8.182 15.161 22.165 28.827 34.861 40.105 44.515 48.130 51.030 53.309 55.059 56.364 57.295 57.912 58.249 58.377 58.311 - 7.306 15.469 23.649 31.311 38.074 43.770 48.402 52.072 54.920 57.082 58.681 59.820 60.581 61.030 61.206 61.182 60.974 - 6.172 15.833 25.491 34.343 41.889 47.989 52.749 56.373 59.076 61.046 62.434 63.359 63.914 64.169 64.165 63.973 63.611 - 4.669 16.285 27.850 38.118 46.456 52.850 57.593 61.036 63.485 65.178 66.293 66.960 67.276 67.313 67.110 66.739 66.214 - 2.608 16.876 30.986 42.913 51.957 58.433 62.949 66.044 68.118 69.449 70.231 70.598 70.646 70.444 70.030 69.469 68.775 - -0.359 17.705 35.348 49.121 58.584 64.790 68.801 71.358 72.930 73.818 74.213 74.246 74.003 73.547 72.911 72.153 71.284 - -4.922 18.987 41.763 57.263 66.498 71.910 75.089 76.911 77.866 78.240 78.205 77.876 77.325 76.605 75.740 74.782 73.737 - -12.635 21.295 51.813 67.906 75.729 79.694 81.703 82.616 82.859 82.664 82.170 81.461 80.593 79.603 78.507 77.348 76.127 - 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123.567 123.151 122.740 122.334 121.932 121.537 121.149 120.768 120.395 120.031 119.677 119.334 119.003 118.684 118.380 118.090 117.816 - 123.417 122.940 122.466 121.996 121.532 121.073 120.621 120.177 119.741 119.314 118.898 118.492 118.099 117.720 117.354 117.005 116.672 - 123.306 122.768 122.233 121.703 121.177 120.657 120.143 119.635 119.138 118.650 118.173 117.707 117.254 116.815 116.392 115.984 115.594 - 123.214 122.617 122.023 121.433 120.848 120.269 119.696 119.131 118.574 118.027 117.492 116.967 116.454 115.958 115.477 115.012 114.566 - 123.135 122.482 121.831 121.184 120.542 119.905 119.275 118.653 118.039 117.435 116.843 116.262 115.694 115.141 114.604 114.083 113.581 - 123.066 122.358 121.653 120.951 120.254 119.562 118.877 118.199 117.530 116.871 116.223 115.588 114.965 114.357 113.766 113.191 112.636 - 123.005 122.245 121.486 120.732 119.981 119.236 118.498 117.767 117.045 116.332 115.631 114.941 114.266 113.604 112.959 112.332 111.723 - 122.950 122.139 121.330 120.524 119.722 118.926 118.136 117.354 116.580 115.816 115.062 114.321 113.593 112.880 112.183 111.503 110.842 - 122.900 122.039 121.181 120.326 119.475 118.630 117.790 116.958 116.134 115.320 114.516 113.724 112.946 112.182 111.434 110.703 109.991 - 122.983 122.074 121.168 120.266 119.368 118.475 117.590 116.711 115.841 114.981 114.132 113.295 112.471 111.661 110.868 110.091 109.334 - 123.143 122.184 121.229 120.278 119.333 118.394 117.463 116.539 115.624 114.720 113.826 112.944 112.076 111.223 110.385 109.565 108.764 - 123.349 122.339 121.333 120.334 119.342 118.356 117.379 116.410 115.450 114.501 113.563 112.638 111.726 110.829 109.949 109.085 108.241 - 123.597 122.533 121.477 120.428 119.388 118.355 117.332 116.317 115.313 114.320 113.339 112.370 111.415 110.475 109.551 108.645 107.758 - 123.709 122.599 121.497 120.404 119.319 118.244 117.177 116.120 115.073 114.038 113.014 112.002 111.005 110.022 109.055 108.105 107.174 - 123.572 122.428 121.292 120.164 119.043 117.931 116.827 115.732 114.646 113.571 112.507 111.455 110.416 109.391 108.380 107.386 106.409 - 123.449 122.273 121.103 119.940 118.785 117.636 116.496 115.364 114.241 113.128 112.025 110.933 109.854 108.787 107.735 106.698 105.677 - 123.339 122.130 120.928 119.731 118.541 117.358 116.183 115.015 113.855 112.704 111.564 110.433 109.315 108.208 107.115 106.036 104.973 - 123.240 122.000 120.765 119.535 118.312 117.095 115.884 114.681 113.486 112.299 111.122 109.954 108.797 107.652 106.519 105.400 104.296 - 123.150 121.878 120.612 119.350 118.094 116.844 115.600 114.363 113.133 111.911 110.697 109.493 108.299 107.116 105.945 104.787 103.642 - 123.068 121.766 120.468 119.175 117.887 116.604 115.328 114.057 112.793 111.537 110.289 109.050 107.820 106.600 105.391 104.194 103.011 - 122.992 121.660 120.332 119.009 117.689 116.375 115.067 113.764 112.467 111.178 109.896 108.622 107.357 106.101 104.856 103.622 102.400 - 122.923 121.561 120.204 118.850 117.501 116.156 114.816 113.482 112.153 110.831 109.516 108.208 106.909 105.619 104.338 103.068 101.809 - 122.858 121.468 120.082 118.699 117.320 115.945 114.575 113.210 111.850 110.496 109.149 107.809 106.476 105.152 103.837 102.532 101.237 - 122.798 121.381 119.966 118.554 117.147 115.743 114.343 112.948 111.557 110.173 108.794 107.422 106.057 104.700 103.351 102.011 100.681 - 122.743 121.298 119.855 118.416 116.980 115.547 114.119 112.694 111.274 109.860 108.451 107.048 105.651 104.262 102.880 101.507 100.142 - 122.691 121.219 119.750 118.283 116.820 115.359 113.902 112.449 111.001 109.557 108.118 106.684 105.257 103.836 102.423 101.016 99.618 - 122.643 121.145 119.649 118.156 116.665 115.178 113.693 112.212 110.735 109.263 107.795 106.332 104.874 103.423 101.978 100.540 99.109 - 122.598 121.074 119.553 118.033 116.516 115.002 113.491 111.983 110.478 108.978 107.481 105.989 104.503 103.021 101.546 100.077 98.614 - 122.555 121.007 119.460 117.915 116.372 114.832 113.295 111.760 110.229 108.701 107.177 105.657 104.141 102.631 101.126 99.626 98.132 - 122.516 120.943 119.371 117.801 116.234 114.668 113.105 111.544 109.986 108.432 106.881 105.333 103.790 102.251 100.717 99.187 97.663 - 122.479 120.881 119.286 117.692 116.099 114.509 112.920 111.334 109.751 108.170 106.592 105.018 103.448 101.881 100.318 98.760 97.206 - 122.444 120.823 119.204 117.586 115.969 114.354 112.741 111.130 109.522 107.916 106.312 104.712 103.114 101.520 99.930 98.343 96.760 - 122.411 120.767 119.125 117.483 115.843 114.204 112.567 110.932 109.299 107.668 106.039 104.413 102.789 101.169 99.551 97.937 96.326 - 122.380 120.714 119.048 117.384 115.721 114.059 112.398 110.739 109.082 107.426 105.773 104.122 102.473 100.826 99.182 97.541 95.902 - 122.352 120.663 118.975 117.288 115.602 113.917 112.234 110.551 108.870 107.191 105.514 103.838 102.164 100.492 98.822 97.154 95.488 - 122.324 120.614 118.904 117.195 115.487 113.780 112.074 110.368 108.664 106.962 105.260 103.560 101.862 100.165 98.470 96.776 95.083 - 122.299 120.567 118.836 117.105 115.375 113.646 111.918 110.190 108.464 106.738 105.013 103.290 101.567 99.846 98.126 96.407 94.688 - 122.275 120.523 118.770 117.018 115.267 113.516 111.766 110.016 108.268 106.519 104.772 103.026 101.280 99.535 97.790 96.046 94.302 - 122.253 120.480 118.707 116.934 115.161 113.389 111.618 109.847 108.076 106.306 104.536 102.767 100.998 99.230 97.461 95.693 93.924 - 122.232 120.439 118.645 116.852 115.059 113.266 111.474 109.681 107.889 106.098 104.306 102.515 100.723 98.932 97.140 95.348 93.555 - 122.213 120.399 118.586 116.772 114.959 113.146 111.333 109.520 107.707 105.894 104.081 102.268 100.454 98.640 96.826 95.010 93.193 - 122.195 120.362 118.528 116.695 114.862 113.029 111.195 109.362 107.528 105.695 103.861 102.026 100.191 98.355 96.518 94.679 92.839 - 122.178 120.325 118.473 116.620 114.767 112.914 111.061 109.208 107.354 105.500 103.645 101.790 99.933 98.076 96.216 94.355 92.492 - 122.162 120.291 118.419 116.547 114.675 112.803 110.930 109.057 107.183 105.309 103.434 101.558 99.681 97.802 95.921 94.038 92.153 - 122.148 120.258 118.367 116.476 114.585 112.694 110.802 108.909 107.016 105.122 103.227 101.331 99.433 97.534 95.632 93.727 91.819 - 122.135 120.226 118.317 116.407 114.497 112.587 110.677 108.765 106.853 104.940 103.025 101.109 99.191 97.271 95.348 93.422 91.493 - 122.123 120.195 118.268 116.340 114.412 112.483 110.554 108.624 106.693 104.760 102.827 100.891 98.953 97.013 95.069 93.123 91.172 - 122.111 120.166 118.221 116.275 114.329 112.382 110.434 108.486 106.536 104.585 102.632 100.677 98.720 96.760 94.796 92.829 90.858 - 122.101 120.138 118.175 116.212 114.248 112.283 110.317 108.350 106.382 104.413 102.441 100.467 98.491 96.511 94.528 92.541 90.549 - 122.092 120.112 118.131 116.150 114.168 112.186 110.202 108.218 106.232 104.244 102.254 100.262 98.266 96.268 94.265 92.258 90.246 - 122.084 120.086 118.088 116.090 114.091 112.091 110.090 108.088 106.084 104.078 102.070 100.060 98.046 96.028 94.007 91.980 89.948 - 122.077 120.062 118.047 116.031 114.015 111.998 109.980 107.961 105.939 103.916 101.890 99.861 97.829 95.793 93.753 91.707 89.655 - 122.070 120.039 118.007 115.975 113.942 111.908 109.872 107.836 105.797 103.756 101.713 99.666 97.616 95.562 93.503 91.438 89.368 - 122.065 120.017 117.968 115.919 113.869 111.819 109.767 107.713 105.657 103.599 101.539 99.475 97.407 95.335 93.257 91.175 89.085 - 122.060 119.996 117.931 115.865 113.799 111.732 109.663 107.593 105.520 103.446 101.368 99.286 97.201 95.111 93.016 90.915 88.807 - 122.056 119.976 117.894 115.813 113.730 111.647 109.562 107.475 105.386 103.294 101.200 99.101 96.999 94.892 92.779 90.659 88.533 - 122.054 119.957 117.859 115.762 113.663 111.563 109.462 107.359 105.254 103.146 101.034 98.919 96.800 94.675 92.545 90.408 88.263 - 122.052 119.939 117.825 115.712 113.597 111.482 109.365 107.245 105.124 103.000 100.872 98.740 96.604 94.463 92.315 90.160 87.998 - 122.050 119.922 117.793 115.663 113.533 111.402 109.269 107.134 104.996 102.856 100.712 98.564 96.411 94.253 92.088 89.917 87.737 - 122.050 119.905 117.761 115.616 113.470 111.323 109.175 107.024 104.871 102.715 100.555 98.390 96.221 94.047 91.865 89.677 87.479 - 122.050 119.890 117.730 115.570 113.409 111.246 109.082 106.916 104.747 102.575 100.400 98.220 96.034 93.843 91.645 89.440 87.225 - 122.051 119.876 117.701 115.525 113.349 111.171 108.992 106.810 104.626 102.439 100.247 98.051 95.850 93.643 91.429 89.207 86.975 - 122.053 119.863 117.672 115.482 113.290 111.097 108.903 106.706 104.507 102.304 100.097 97.885 95.669 93.445 91.215 88.977 86.729 - 122.056 119.850 117.645 115.439 113.233 111.025 108.815 106.604 104.389 102.171 99.949 97.722 95.490 93.251 91.004 88.750 86.485 - 122.059 119.839 117.618 115.398 113.176 110.954 108.730 106.503 104.273 102.040 99.803 97.561 95.313 93.059 90.797 88.526 86.245 - 122.063 119.828 117.593 115.357 113.121 110.884 108.645 106.404 104.159 101.911 99.659 97.402 95.139 92.869 90.592 88.305 86.008 - 122.068 119.818 117.568 115.318 113.068 110.816 108.562 106.306 104.047 101.785 99.518 97.245 94.967 92.682 90.389 88.087 85.774 - 122.074 119.809 117.545 115.280 113.015 110.749 108.481 106.210 103.937 101.659 99.378 97.091 94.798 92.498 90.189 87.872 85.543 - 122.080 119.800 117.522 115.243 112.964 110.683 108.401 106.116 103.828 101.536 99.240 96.938 94.631 92.316 89.992 87.659 85.315 - 122.087 119.793 117.500 115.207 112.913 110.618 108.322 106.023 103.720 101.414 99.104 96.788 94.465 92.136 89.797 87.449 85.090 - 122.094 119.786 117.479 115.172 112.864 110.555 108.244 105.931 103.615 101.294 98.970 96.639 94.302 91.958 89.605 87.241 84.867 - 122.103 119.780 117.459 115.137 112.816 110.493 108.168 105.841 103.510 101.176 98.837 96.492 94.141 91.782 89.414 87.036 84.646 - 122.112 119.775 117.440 115.104 112.768 110.432 108.093 105.752 103.407 101.059 98.706 96.347 93.982 91.608 89.226 86.833 84.428 - 122.122 119.771 117.421 115.072 112.722 110.372 108.019 105.664 103.306 100.944 98.577 96.204 93.824 91.437 89.040 86.633 84.213 diff --git a/pydarn/radar_fov_files/204_lats.txt b/pydarn/radar_fov_files/204_lats.txt deleted file mode 100644 index 682aaea83..000000000 --- a/pydarn/radar_fov_files/204_lats.txt +++ /dev/null @@ -1,111 +0,0 @@ - 38.682 38.799 38.897 38.983 39.059 39.127 39.189 39.245 39.295 39.339 39.377 39.410 39.438 39.459 39.475 39.484 39.487 39.483 39.471 39.449 39.417 39.371 39.303 - 39.071 39.174 39.270 39.359 39.442 39.520 39.592 39.658 39.719 39.774 39.823 39.866 39.903 39.934 39.958 39.976 39.987 39.991 39.988 39.977 39.959 39.931 39.894 - 39.369 39.483 39.591 39.694 39.791 39.882 39.967 40.049 40.122 40.189 40.249 40.303 40.350 40.389 40.422 40.447 40.464 40.474 40.476 40.469 40.455 40.432 40.399 - 39.617 39.748 39.872 39.991 40.106 40.213 40.313 40.407 40.493 40.572 40.644 40.709 40.765 40.813 40.853 40.884 40.907 40.921 40.926 40.922 40.909 40.886 40.854 - 39.844 39.992 40.136 40.272 40.402 40.525 40.641 40.749 40.849 40.941 41.025 41.100 41.166 41.222 41.270 41.307 41.335 41.353 41.361 41.358 41.345 41.322 41.288 - 40.059 40.226 40.387 40.541 40.688 40.827 40.958 41.081 41.196 41.301 41.396 41.482 41.558 41.623 41.678 41.722 41.754 41.776 41.786 41.785 41.772 41.747 41.711 - 40.264 40.450 40.629 40.802 40.966 41.122 41.270 41.408 41.536 41.655 41.762 41.859 41.945 42.019 42.081 42.131 42.168 42.193 42.206 42.205 42.192 42.166 42.126 - 40.462 40.668 40.866 41.057 41.239 41.412 41.576 41.729 41.872 42.004 42.124 42.232 42.328 42.410 42.480 42.536 42.578 42.607 42.621 42.622 42.608 42.580 42.537 - 40.655 40.880 41.098 41.307 41.508 41.698 41.878 42.047 42.205 42.350 42.483 42.602 42.708 42.799 42.876 42.939 42.986 43.018 43.034 43.035 43.021 42.991 42.945 - 40.843 41.089 41.326 41.554 41.773 41.981 42.178 42.363 42.535 42.694 42.839 42.970 43.086 43.186 43.271 43.339 43.391 43.427 43.445 43.447 43.432 43.400 43.351 - 41.028 41.293 41.550 41.798 42.035 42.261 42.474 42.675 42.862 43.035 43.193 43.335 43.462 43.571 43.663 43.738 43.795 43.834 43.855 43.857 43.841 43.807 43.754 - 41.099 41.386 41.664 41.931 42.186 42.429 42.659 42.875 43.076 43.262 43.432 43.584 43.719 43.836 43.935 44.014 44.074 44.114 44.135 44.135 44.116 44.076 44.016 - 41.106 41.416 41.716 42.003 42.278 42.539 42.785 43.017 43.232 43.430 43.611 43.773 43.917 44.041 44.144 44.227 44.289 44.330 44.349 44.346 44.321 44.273 44.203 - 41.072 41.407 41.729 42.038 42.333 42.612 42.876 43.123 43.353 43.564 43.756 43.928 44.079 44.209 44.318 44.404 44.467 44.507 44.523 44.515 44.483 44.426 44.345 - 41.000 41.362 41.709 42.040 42.356 42.655 42.936 43.199 43.442 43.666 43.869 44.051 44.210 44.347 44.459 44.548 44.612 44.650 44.662 44.648 44.607 44.539 44.443 - 41.032 41.417 41.786 42.138 42.473 42.790 43.088 43.367 43.625 43.862 44.077 44.269 44.437 44.580 44.699 44.791 44.857 44.896 44.907 44.890 44.844 44.768 44.662 - 41.263 41.665 42.050 42.419 42.770 43.103 43.417 43.711 43.984 44.234 44.462 44.665 44.844 44.997 45.124 45.224 45.296 45.340 45.355 45.340 45.295 45.221 45.114 - 41.484 41.902 42.305 42.691 43.059 43.409 43.739 44.048 44.335 44.600 44.840 45.056 45.246 45.408 45.544 45.651 45.729 45.777 45.796 45.783 45.740 45.665 45.558 - 41.695 42.132 42.552 42.956 43.341 43.708 44.054 44.379 44.681 44.960 45.213 45.441 45.642 45.814 45.958 46.072 46.156 46.210 46.231 46.221 46.179 46.103 45.995 - 41.899 42.353 42.792 43.214 43.617 44.001 44.364 44.705 45.022 45.315 45.582 45.822 46.033 46.216 46.368 46.490 46.580 46.638 46.663 46.654 46.612 46.536 46.426 - 42.095 42.569 43.026 43.466 43.887 44.288 44.668 45.025 45.358 45.666 45.946 46.198 46.421 46.614 46.775 46.904 47.000 47.062 47.090 47.083 47.042 46.965 46.853 - 42.286 42.778 43.254 43.713 44.152 44.571 44.968 45.342 45.690 46.013 46.307 46.571 46.806 47.009 47.178 47.315 47.417 47.483 47.514 47.509 47.468 47.390 47.275 - 42.471 42.982 43.477 43.955 44.413 44.850 45.264 45.655 46.019 46.356 46.664 46.942 47.188 47.400 47.579 47.723 47.831 47.902 47.936 47.933 47.891 47.812 47.694 - 42.650 43.181 43.696 44.192 44.669 45.125 45.557 45.964 46.344 46.696 47.019 47.309 47.567 47.790 47.978 48.129 48.243 48.319 48.356 48.353 48.312 48.231 48.110 - 42.825 43.376 43.910 44.426 44.922 45.396 45.846 46.270 46.667 47.034 47.370 47.674 47.943 48.177 48.374 48.533 48.653 48.733 48.773 48.772 48.730 48.647 48.524 - 42.995 43.566 44.120 44.655 45.170 45.663 46.131 46.573 46.986 47.369 47.720 48.037 48.318 48.563 48.769 48.935 49.061 49.146 49.189 49.189 49.147 49.062 48.935 - 43.160 43.751 44.326 44.881 45.415 45.927 46.413 46.873 47.303 47.701 48.067 48.397 48.691 48.946 49.161 49.336 49.468 49.557 49.603 49.604 49.562 49.475 49.344 - 43.322 43.933 44.528 45.103 45.657 46.188 46.693 47.170 47.617 48.031 48.412 48.756 49.062 49.328 49.553 49.735 49.874 49.967 50.016 50.019 49.975 49.886 49.751 - 43.479 44.111 44.726 45.322 45.896 46.446 46.969 47.464 47.928 48.359 48.754 49.112 49.431 49.708 49.943 50.133 50.278 50.376 50.428 50.431 50.388 50.296 50.157 - 43.633 44.285 44.921 45.537 46.131 46.700 47.243 47.756 48.237 48.685 49.095 49.467 49.799 50.087 50.331 50.530 50.681 50.784 50.838 50.843 50.799 50.705 50.562 - 43.782 44.456 45.112 45.749 46.363 46.952 47.514 48.045 48.544 49.008 49.434 49.821 50.165 50.465 50.719 50.926 51.083 51.191 51.248 51.254 51.209 51.112 50.965 - 43.928 44.623 45.300 45.958 46.592 47.201 47.782 48.332 48.849 49.330 49.772 50.172 50.530 50.841 51.105 51.320 51.485 51.597 51.657 51.664 51.618 51.518 51.367 - 44.071 44.787 45.485 46.163 46.818 47.447 48.048 48.617 49.152 49.649 50.107 50.523 50.893 51.217 51.491 51.714 51.885 52.003 52.066 52.073 52.026 51.924 51.767 - 44.209 44.947 45.666 46.365 47.041 47.691 48.311 48.899 49.452 49.967 50.441 50.871 51.255 51.591 51.876 52.108 52.285 52.408 52.473 52.482 52.434 52.329 52.167 - 44.345 45.103 45.844 46.565 47.261 47.931 48.572 49.179 49.750 50.283 50.773 51.218 51.616 51.964 52.259 52.500 52.685 52.812 52.881 52.890 52.841 52.733 52.566 - 44.476 45.257 46.019 46.761 47.479 48.169 48.830 49.456 50.046 50.597 51.103 51.564 51.976 52.336 52.642 52.892 53.084 53.216 53.287 53.298 53.247 53.136 52.964 - 44.604 45.407 46.191 46.954 47.693 48.404 49.085 49.732 50.341 50.909 51.432 51.909 52.335 52.707 53.024 53.283 53.482 53.619 53.694 53.705 53.653 53.538 53.361 - 44.729 45.553 46.359 47.144 47.904 48.637 49.338 50.004 50.632 51.219 51.760 52.252 52.692 53.078 53.406 53.674 53.880 54.022 54.100 54.112 54.059 53.940 53.758 - 44.850 45.696 46.524 47.331 48.113 48.867 49.588 50.275 50.922 51.527 52.085 52.594 53.049 53.447 53.786 54.064 54.277 54.425 54.505 54.518 54.464 54.342 54.153 - 44.968 45.836 46.686 47.515 48.318 49.094 49.836 50.543 51.210 51.834 52.409 52.934 53.404 53.816 54.166 54.453 54.674 54.827 54.911 54.925 54.869 54.743 54.549 - 45.083 45.973 46.845 47.696 48.521 49.318 50.082 50.809 51.496 52.138 52.732 53.273 53.758 54.183 54.546 54.842 55.071 55.229 55.316 55.331 55.273 55.143 54.943 - 45.194 46.106 47.000 47.873 48.721 49.539 50.325 51.073 51.780 52.441 53.053 53.611 54.111 54.550 54.924 55.231 55.467 55.631 55.721 55.736 55.677 55.543 55.337 - 45.301 46.236 47.153 48.048 48.918 49.758 50.565 51.334 52.061 52.742 53.372 53.947 54.463 54.916 55.302 55.619 55.863 56.032 56.126 56.142 56.081 55.943 55.730 - 45.405 46.362 47.302 48.219 49.111 49.974 50.803 51.593 52.341 53.041 53.690 54.282 54.814 55.281 55.680 56.007 56.259 56.434 56.530 56.547 56.484 56.342 56.123 - 45.506 46.486 47.447 48.388 49.302 50.187 51.038 51.849 52.618 53.338 54.006 54.616 55.164 55.645 56.057 56.394 56.654 56.835 56.935 56.953 56.888 56.741 56.515 - 45.603 46.605 47.590 48.553 49.490 50.397 51.270 52.103 52.893 53.633 54.320 54.948 55.512 56.009 56.433 56.781 57.050 57.236 57.340 57.358 57.291 57.140 56.906 - 45.697 46.722 47.729 48.715 49.675 50.605 51.500 52.355 53.166 53.926 54.632 55.279 55.860 56.371 56.808 57.167 57.445 57.638 57.744 57.763 57.694 57.538 57.297 - 45.787 46.835 47.865 48.874 49.857 50.809 51.727 52.604 53.436 54.218 54.943 55.608 56.206 56.733 57.183 57.554 57.840 58.039 58.148 58.168 58.097 57.936 57.688 - 45.874 46.944 47.998 49.029 50.035 51.011 51.951 52.851 53.704 54.507 55.253 55.936 56.551 57.094 57.558 57.939 58.234 58.440 58.553 58.573 58.500 58.334 58.078 - 45.957 47.051 48.127 49.182 50.211 51.209 52.172 53.094 53.970 54.794 55.560 56.263 56.896 57.454 57.932 58.325 58.629 58.841 58.957 58.978 58.903 58.732 58.467 - 46.037 47.153 48.253 49.331 50.383 51.405 52.391 53.336 54.234 55.079 55.866 56.588 57.239 57.813 58.305 58.710 59.023 59.241 59.362 59.383 59.305 59.129 58.856 - 46.113 47.252 48.375 49.476 50.552 51.597 52.607 53.574 54.495 55.362 56.170 56.911 57.580 58.171 58.678 59.095 59.418 59.642 59.766 59.788 59.708 59.526 59.244 - 46.186 47.348 48.494 49.619 50.718 51.787 52.820 53.810 54.754 55.643 56.471 57.233 57.921 58.528 59.050 59.479 59.812 60.043 60.171 60.193 60.110 59.922 59.632 - 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40.473 40.461 40.440 40.412 40.376 40.333 40.282 40.225 40.162 40.093 40.016 39.935 39.849 39.758 39.662 39.562 39.458 39.349 39.237 39.122 39.003 38.882 38.757 - 40.915 40.895 40.867 40.829 40.783 40.729 40.667 40.597 40.520 40.436 40.345 40.248 40.145 40.035 39.921 39.802 39.678 39.550 39.418 39.283 39.145 39.003 38.859 - 41.341 41.315 41.279 41.233 41.178 41.113 41.039 40.957 40.866 40.767 40.661 40.548 40.427 40.301 40.168 40.028 39.885 39.737 39.585 39.429 39.270 39.107 38.943 - 41.758 41.727 41.684 41.630 41.565 41.490 41.404 41.309 41.205 41.091 40.970 40.839 40.702 40.557 40.406 40.248 40.085 39.915 39.742 39.565 39.385 39.201 39.015 - 42.170 42.133 42.083 42.021 41.947 41.861 41.765 41.657 41.539 41.410 41.273 41.126 40.971 40.808 40.637 40.460 40.277 40.088 39.893 39.695 39.493 39.288 39.080 - 42.579 42.536 42.479 42.409 42.326 42.230 42.121 42.001 41.869 41.726 41.572 41.408 41.236 41.054 40.865 40.668 40.464 40.254 40.039 39.819 39.595 39.369 39.139 - 42.984 42.936 42.873 42.795 42.702 42.596 42.475 42.342 42.196 42.038 41.868 41.688 41.497 41.297 41.088 40.872 40.648 40.417 40.181 39.939 39.693 39.445 39.193 - 43.388 43.335 43.265 43.179 43.077 42.959 42.827 42.681 42.521 42.347 42.162 41.964 41.756 41.537 41.309 41.072 40.827 40.576 40.318 40.055 39.787 39.516 39.243 - 43.791 43.732 43.655 43.561 43.449 43.321 43.177 43.018 42.843 42.655 42.453 42.238 42.011 41.774 41.526 41.269 41.004 40.731 40.452 40.167 39.878 39.585 39.289 - 44.074 44.014 43.934 43.835 43.717 43.581 43.428 43.257 43.071 42.870 42.654 42.424 42.182 41.927 41.662 41.387 41.102 40.810 40.510 40.205 39.893 39.579 39.261 - 44.297 44.238 44.156 44.054 43.932 43.789 43.628 43.449 43.252 43.038 42.809 42.565 42.308 42.037 41.755 41.461 41.158 40.846 40.526 40.200 39.866 39.529 39.188 - 44.484 44.427 44.346 44.242 44.116 43.968 43.800 43.612 43.405 43.180 42.938 42.681 42.408 42.121 41.822 41.510 41.188 40.857 40.516 40.168 39.812 39.452 39.086 - 44.636 44.584 44.505 44.401 44.272 44.120 43.945 43.750 43.533 43.298 43.044 42.772 42.485 42.183 41.866 41.537 41.196 40.844 40.483 40.113 39.733 39.349 38.958 - 44.885 44.833 44.753 44.645 44.511 44.352 44.169 43.963 43.736 43.488 43.220 42.934 42.631 42.312 41.978 41.630 41.270 40.898 40.516 40.125 39.723 39.316 38.902 - 45.322 45.262 45.172 45.054 44.909 44.738 44.542 44.322 44.079 43.815 43.530 43.227 42.906 42.568 42.215 41.848 41.468 41.076 40.675 40.263 39.843 39.416 38.983 - 45.753 45.685 45.586 45.458 45.301 45.118 44.908 44.674 44.416 44.136 43.835 43.514 43.174 42.818 42.445 42.059 41.659 41.248 40.826 40.395 39.954 39.508 39.056 - 46.178 46.102 45.995 45.856 45.689 45.493 45.271 45.022 44.749 44.452 44.134 43.795 43.438 43.062 42.671 42.264 41.844 41.413 40.970 40.519 40.060 39.592 39.121 - 46.599 46.515 46.399 46.251 46.073 45.865 45.629 45.366 45.077 44.765 44.429 44.073 43.696 43.302 42.890 42.464 42.024 41.572 41.109 40.637 40.158 39.670 39.179 - 47.016 46.925 46.800 46.643 46.453 46.233 45.983 45.706 45.402 45.073 44.720 44.346 43.951 43.537 43.106 42.659 42.199 41.726 41.243 40.750 40.250 39.742 39.231 - 47.430 47.332 47.199 47.031 46.830 46.598 46.335 46.043 45.723 45.378 45.008 44.615 44.201 43.768 43.317 42.850 42.369 41.876 41.372 40.858 40.337 39.809 39.277 - 47.842 47.736 47.594 47.417 47.205 46.960 46.683 46.377 46.041 45.679 45.291 44.880 44.448 43.995 43.524 43.037 42.535 42.021 41.496 40.961 40.419 39.871 39.319 - 48.251 48.138 47.988 47.800 47.577 47.320 47.030 46.708 46.357 45.978 45.572 45.143 44.691 44.218 43.727 43.220 42.697 42.162 41.616 41.060 40.497 39.928 39.355 - 48.658 48.539 48.380 48.182 47.948 47.678 47.373 47.037 46.670 46.273 45.850 45.402 44.931 44.438 43.927 43.399 42.855 42.299 41.731 41.155 40.571 39.980 39.387 - 49.064 48.937 48.769 48.562 48.316 48.033 47.715 47.363 46.980 46.566 46.125 45.658 45.167 44.655 44.123 43.574 43.010 42.432 41.843 41.246 40.640 40.029 39.415 - 49.468 49.334 49.158 48.940 48.683 48.387 48.055 47.688 47.288 46.857 46.398 45.912 45.401 44.869 44.316 43.746 43.161 42.562 41.952 41.332 40.706 40.074 39.439 - 49.871 49.730 49.545 49.317 49.048 48.739 48.393 48.010 47.594 47.145 46.667 46.162 45.632 45.079 44.506 43.915 43.308 42.688 42.056 41.416 40.768 40.115 39.459 - 50.272 50.124 49.931 49.693 49.412 49.090 48.729 48.330 47.897 47.431 46.935 46.410 45.860 45.287 44.693 44.081 43.453 42.811 42.158 41.495 40.826 40.152 39.475 - 50.673 50.518 50.315 50.067 49.774 49.439 49.063 48.649 48.199 47.715 47.200 46.656 46.086 45.492 44.877 44.243 43.594 42.930 42.255 41.571 40.881 40.186 39.488 - 51.073 50.910 50.699 50.440 50.135 49.786 49.396 48.965 48.498 47.996 47.462 46.899 46.308 45.694 45.058 44.403 43.731 43.046 42.350 41.644 40.932 40.216 39.497 - 51.472 51.302 51.081 50.812 50.495 50.132 49.727 49.280 48.796 48.275 47.722 47.139 46.528 45.893 45.235 44.559 43.866 43.159 42.441 41.714 40.980 40.242 39.502 - 51.870 51.693 51.463 51.183 50.853 50.477 50.056 49.593 49.091 48.552 47.980 47.377 46.745 46.089 45.410 44.712 43.997 43.269 42.529 41.780 41.024 40.265 39.504 - 52.268 52.083 51.844 51.553 51.211 50.820 50.384 49.905 49.385 48.827 48.235 47.612 46.960 46.282 45.582 44.862 44.126 43.375 42.613 41.842 41.066 40.285 39.503 - 52.665 52.473 52.224 51.922 51.567 51.162 50.710 50.214 49.676 49.100 48.489 47.845 47.172 46.473 45.751 45.010 44.251 43.478 42.694 41.902 41.104 40.302 39.499 - 53.062 52.862 52.604 52.290 51.922 51.503 51.035 50.522 49.966 49.371 48.740 48.075 47.381 46.661 45.918 45.154 44.373 43.579 42.773 41.958 41.138 40.315 39.491 - 53.458 53.250 52.983 52.657 52.276 51.843 51.359 50.828 50.254 49.640 48.988 48.303 47.588 46.846 46.081 45.295 44.493 43.676 42.848 42.012 41.170 40.325 39.480 - 53.853 53.638 53.361 53.024 52.630 52.181 51.681 51.133 50.540 49.906 49.235 48.529 47.792 47.029 46.241 45.434 44.609 43.770 42.920 42.062 41.198 40.332 39.466 - 54.249 54.025 53.738 53.389 52.982 52.518 52.002 51.436 50.825 50.171 49.479 48.752 47.994 47.209 46.399 45.569 44.722 43.861 42.989 42.109 41.223 40.336 39.449 - 54.644 54.412 54.115 53.754 53.333 52.854 52.321 51.737 51.107 50.433 49.721 48.973 48.193 47.386 46.554 45.702 44.832 43.949 43.054 42.152 41.246 40.337 39.428 - 55.039 54.799 54.491 54.119 53.683 53.189 52.639 52.037 51.387 50.694 49.960 49.191 48.389 47.560 46.706 45.831 44.939 44.034 43.117 42.193 41.265 40.334 39.405 - 55.433 55.185 54.867 54.482 54.032 53.522 52.955 52.335 51.666 50.952 50.197 49.406 48.583 47.731 46.855 45.958 45.044 44.115 43.177 42.231 41.281 40.329 39.378 - 55.827 55.571 55.242 54.845 54.381 53.855 53.270 52.631 51.942 51.208 50.432 49.620 48.774 47.900 47.001 46.082 45.145 44.194 43.233 42.265 41.293 40.320 39.349 - 56.222 55.957 55.617 55.207 54.728 54.186 53.583 52.926 52.217 51.462 50.665 49.830 48.963 48.066 47.145 46.202 45.243 44.270 43.287 42.297 41.303 40.309 39.316 - 56.615 56.342 55.991 55.568 55.075 54.516 53.895 53.219 52.490 51.714 50.895 50.038 49.148 48.229 47.285 46.320 45.338 44.342 43.337 42.325 41.310 40.294 39.281 - 57.009 56.727 56.365 55.928 55.420 54.844 54.206 53.510 52.760 51.963 51.123 50.244 49.331 48.389 47.422 46.435 45.430 44.412 43.384 42.350 41.313 40.276 39.242 - 57.403 57.111 56.738 56.288 55.764 55.172 54.515 53.799 53.029 52.210 51.348 50.447 49.511 48.547 47.557 46.546 45.519 44.478 43.428 42.373 41.314 40.255 39.200 - 57.796 57.496 57.111 56.647 56.108 55.498 54.822 54.086 53.296 52.455 51.571 50.647 49.689 48.701 47.688 46.655 45.605 44.542 43.470 42.392 41.311 40.232 39.156 - 58.190 57.880 57.484 57.006 56.450 55.823 55.128 54.372 53.560 52.698 51.791 50.845 49.864 48.853 47.817 46.761 45.688 44.602 43.508 42.408 41.306 40.205 39.108 - 58.583 58.263 57.855 57.363 56.792 56.146 55.432 54.656 53.823 52.939 52.009 51.040 50.035 49.001 47.943 46.863 45.767 44.659 43.542 42.421 41.297 40.175 39.057 - 58.976 58.647 58.227 57.720 57.132 56.468 55.735 54.938 54.083 53.177 52.224 51.232 50.204 49.147 48.065 46.963 45.844 44.713 43.574 42.430 41.285 40.142 39.004 - 59.369 59.030 58.598 58.076 57.471 56.789 56.036 55.218 54.341 53.412 52.437 51.421 50.370 49.290 48.185 47.059 45.917 44.764 43.603 42.437 41.270 40.106 38.947 - 59.763 59.413 58.968 58.431 57.810 57.109 56.335 55.496 54.597 53.645 52.647 51.608 50.534 49.430 48.301 47.152 45.988 44.812 43.628 42.441 41.253 40.067 38.887 - 60.156 59.796 59.338 58.786 58.147 57.427 56.633 55.772 54.851 53.876 52.854 51.792 50.694 49.566 48.414 47.242 46.055 44.856 43.651 42.441 41.232 40.025 38.825 - 60.549 60.179 59.707 59.140 58.483 57.743 56.929 56.046 55.102 54.104 53.059 51.973 50.851 49.700 48.524 47.329 46.119 44.898 43.670 42.439 41.208 39.981 38.759 - 60.942 60.561 60.076 59.493 58.818 58.059 57.223 56.318 55.351 54.330 53.261 52.151 51.005 49.830 48.631 47.413 46.180 44.936 43.686 42.433 41.181 39.933 38.691 - 61.335 60.943 60.444 59.845 59.151 58.372 57.515 56.588 55.598 54.553 53.460 52.326 51.156 49.958 48.735 47.494 46.237 44.971 43.699 42.424 41.151 39.882 38.619 - 61.728 61.325 60.812 60.196 59.484 58.684 57.805 56.855 55.842 54.773 53.656 52.498 51.305 50.082 48.836 47.571 46.292 45.003 43.709 42.412 41.117 39.828 38.545 - 62.121 61.707 61.179 60.546 59.815 58.995 58.094 57.120 56.084 54.991 53.850 52.667 51.449 50.203 48.933 47.645 46.343 45.032 43.715 42.397 41.081 39.771 38.468 - 62.514 62.088 61.546 60.896 60.145 59.304 58.380 57.384 56.323 55.206 54.040 52.833 51.591 50.321 49.027 47.716 46.391 45.057 43.719 42.379 41.042 39.711 38.387 - 62.907 62.469 61.912 61.244 60.474 59.611 58.664 57.644 56.559 55.418 54.227 52.996 51.730 50.435 49.118 47.783 46.436 45.080 43.719 42.358 41.000 39.648 38.304 - 63.300 62.850 62.278 61.592 60.801 59.916 58.947 57.903 56.793 55.627 54.412 53.156 51.865 50.547 49.206 47.848 46.477 45.099 43.716 42.334 40.954 39.582 38.218 - 63.693 63.231 62.643 61.938 61.127 60.220 59.227 58.159 57.024 55.833 54.593 53.312 51.997 50.655 49.290 47.909 46.515 45.114 43.710 42.306 40.906 39.512 38.129 - 64.086 63.611 63.007 62.284 61.451 60.521 59.505 58.412 57.253 56.036 54.771 53.466 52.126 50.759 49.371 47.966 46.550 45.127 43.701 42.275 40.854 39.440 38.036 - 64.479 63.991 63.371 62.628 61.774 60.821 59.780 58.663 57.478 56.237 54.946 53.616 52.252 50.860 49.448 48.020 46.582 45.136 43.688 42.241 40.799 39.365 37.941 - 64.873 64.371 63.734 62.971 62.096 61.119 60.054 58.911 57.701 56.434 55.118 53.762 52.374 50.958 49.522 48.071 46.610 45.142 43.672 42.204 40.742 39.287 37.843 - 65.266 64.751 64.096 63.313 62.415 61.415 60.325 59.156 57.921 56.628 55.287 53.906 52.492 51.053 49.593 48.119 46.634 45.145 43.653 42.164 40.681 39.206 37.742 - 65.659 65.130 64.457 63.654 62.733 61.709 60.593 59.399 58.137 56.819 55.452 54.046 52.607 51.144 49.660 48.163 46.656 45.144 43.631 42.121 40.617 39.122 37.638 - 66.052 65.509 64.818 63.994 63.050 62.001 60.859 59.639 58.351 57.006 55.614 54.182 52.719 51.231 49.724 48.203 46.674 45.140 43.606 42.074 40.550 39.035 37.532 - 66.446 65.887 65.178 64.332 63.364 62.290 61.123 59.876 58.562 57.190 55.772 54.315 52.827 51.315 49.784 48.240 46.689 45.133 43.577 42.025 40.480 38.945 37.422 - 66.839 66.265 65.537 64.669 63.677 62.577 61.383 60.110 58.769 57.371 55.927 54.445 52.932 51.395 49.841 48.274 46.700 45.122 43.545 41.972 40.406 38.852 37.309 - 67.232 66.643 65.895 65.004 63.988 62.862 61.641 60.341 58.973 57.549 56.078 54.570 53.033 51.472 49.894 48.304 46.708 45.108 43.510 41.916 40.330 38.755 37.194 - 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44.066 44.197 44.321 44.442 44.554 44.659 44.757 44.849 44.933 45.010 45.079 45.141 45.194 45.239 45.275 45.303 45.322 45.333 45.334 45.326 45.310 45.284 45.248 45.203 45.148 - 44.306 44.456 44.597 44.732 44.860 44.981 45.094 45.200 45.297 45.386 45.467 45.538 45.600 45.653 45.696 45.729 45.753 45.766 45.769 45.762 45.745 45.717 45.679 45.630 45.570 - 44.533 44.699 44.858 45.011 45.156 45.292 45.421 45.541 45.652 45.753 45.845 45.926 45.998 46.058 46.108 46.147 46.175 46.191 46.195 46.189 46.170 46.140 46.098 46.045 45.980 - 44.748 44.933 45.111 45.281 45.443 45.596 45.741 45.875 46.000 46.114 46.217 46.309 46.390 46.458 46.515 46.559 46.591 46.610 46.616 46.609 46.589 46.557 46.511 46.453 46.382 - 44.956 45.161 45.357 45.545 45.725 45.895 46.055 46.204 46.343 46.470 46.585 46.688 46.778 46.854 46.918 46.967 47.003 47.025 47.032 47.025 47.004 46.969 46.919 46.856 46.778 - 45.159 45.382 45.598 45.805 46.002 46.189 46.365 46.530 46.683 46.823 46.950 47.063 47.163 47.248 47.318 47.373 47.413 47.437 47.446 47.439 47.416 47.378 47.324 47.255 47.170 - 45.356 45.600 45.834 46.060 46.275 46.479 46.672 46.852 47.019 47.173 47.312 47.436 47.545 47.639 47.716 47.776 47.820 47.848 47.858 47.850 47.826 47.785 47.726 47.651 47.560 - 45.549 45.813 46.067 46.311 46.545 46.766 46.976 47.171 47.353 47.520 47.672 47.807 47.926 48.028 48.112 48.179 48.227 48.256 48.268 48.260 48.234 48.190 48.127 48.046 47.947 - 45.620 45.905 46.181 46.445 46.697 46.937 47.162 47.373 47.569 47.749 47.912 48.058 48.185 48.294 48.384 48.455 48.506 48.536 48.547 48.537 48.507 48.457 48.386 48.296 48.185 - 45.620 45.930 46.229 46.514 46.786 47.044 47.287 47.514 47.724 47.916 48.091 48.246 48.382 48.498 48.593 48.667 48.720 48.751 48.759 48.746 48.710 48.652 48.572 48.469 48.344 - 45.575 45.912 46.235 46.543 46.836 47.113 47.374 47.617 47.842 48.047 48.233 48.399 48.543 48.665 48.765 48.842 48.896 48.926 48.932 48.914 48.871 48.804 48.712 48.595 48.453 - 45.488 45.854 46.204 46.536 46.851 47.149 47.428 47.687 47.927 48.146 48.344 48.519 48.671 48.800 48.905 48.984 49.038 49.067 49.069 49.045 48.994 48.916 48.810 48.677 48.514 - 45.514 45.905 46.277 46.632 46.967 47.283 47.580 47.855 48.110 48.342 48.552 48.737 48.898 49.034 49.144 49.228 49.284 49.313 49.313 49.286 49.229 49.144 49.028 48.882 48.704 - 45.759 46.165 46.553 46.923 47.275 47.606 47.918 48.209 48.477 48.722 48.944 49.141 49.312 49.457 49.574 49.664 49.726 49.759 49.762 49.736 49.680 49.593 49.476 49.327 49.147 - 45.992 46.414 46.819 47.205 47.573 47.921 48.249 48.554 48.837 49.096 49.330 49.538 49.719 49.873 49.998 50.095 50.162 50.198 50.204 50.179 50.123 50.035 49.915 49.763 49.579 - 46.214 46.654 47.076 47.479 47.864 48.229 48.572 48.893 49.190 49.463 49.709 49.929 50.121 50.284 50.417 50.520 50.592 50.632 50.641 50.616 50.560 50.470 50.348 50.192 50.003 - 46.428 46.885 47.324 47.746 48.148 48.530 48.889 49.226 49.538 49.825 50.084 50.316 50.519 50.691 50.832 50.942 51.018 51.062 51.073 51.049 50.992 50.900 50.775 50.615 50.421 - 46.633 47.109 47.567 48.006 48.426 48.825 49.201 49.554 49.881 50.182 50.455 50.699 50.912 51.094 51.243 51.359 51.441 51.489 51.501 51.478 51.420 51.326 51.197 51.032 50.832 - 46.832 47.326 47.802 48.260 48.698 49.115 49.508 49.877 50.220 50.536 50.822 51.078 51.302 51.493 51.651 51.774 51.861 51.912 51.927 51.904 51.845 51.749 51.615 51.445 51.239 - 47.024 47.537 48.033 48.509 48.966 49.400 49.811 50.197 50.555 50.885 51.185 51.454 51.689 51.890 52.056 52.186 52.278 52.333 52.349 52.327 52.267 52.168 52.030 51.855 51.642 - 47.211 47.743 48.258 48.753 49.229 49.681 50.110 50.512 50.887 51.232 51.546 51.827 52.073 52.284 52.459 52.595 52.693 52.751 52.770 52.748 52.686 52.584 52.442 52.261 52.040 - 47.391 47.943 48.478 48.993 49.487 49.958 50.404 50.824 51.215 51.575 51.903 52.197 52.455 52.676 52.859 53.003 53.106 53.168 53.188 53.166 53.103 52.998 52.851 52.664 52.436 - 47.567 48.139 48.693 49.228 49.741 50.231 50.695 51.132 51.540 51.915 52.258 52.565 52.835 53.066 53.258 53.408 53.517 53.582 53.605 53.583 53.518 53.410 53.258 53.064 52.828 - 47.738 48.329 48.904 49.458 49.991 50.500 50.983 51.438 51.862 52.253 52.610 52.930 53.212 53.454 53.655 53.812 53.926 53.996 54.020 53.998 53.932 53.820 53.663 53.462 53.218 - 47.903 48.516 49.110 49.685 50.237 50.766 51.267 51.740 52.181 52.588 52.960 53.294 53.588 53.841 54.050 54.215 54.334 54.407 54.433 54.412 54.344 54.228 54.066 53.858 53.606 - 48.064 48.697 49.312 49.907 50.480 51.028 51.548 52.039 52.497 52.921 53.308 53.656 53.962 54.225 54.444 54.616 54.742 54.818 54.846 54.825 54.754 54.635 54.467 54.252 53.991 - 48.221 48.875 49.511 50.126 50.719 51.286 51.826 52.335 52.811 53.251 53.653 54.015 54.334 54.609 54.837 55.017 55.147 55.228 55.258 55.236 55.164 55.041 54.867 54.645 54.374 - 48.374 49.048 49.705 50.341 50.954 51.542 52.101 52.629 53.122 53.579 53.997 54.373 54.705 54.991 55.228 55.416 55.552 55.637 55.668 55.647 55.572 55.445 55.266 55.035 54.756 - 48.522 49.217 49.895 50.553 51.186 51.794 52.373 52.919 53.431 53.905 54.339 54.729 55.074 55.371 55.619 55.814 55.957 56.045 56.078 56.057 55.980 55.848 55.663 55.424 55.135 - 48.666 49.383 50.082 50.760 51.415 52.043 52.641 53.207 53.737 54.229 54.678 55.084 55.442 55.751 56.008 56.212 56.360 56.452 56.488 56.466 56.386 56.250 56.058 55.812 55.513 - 48.805 49.544 50.265 50.964 51.640 52.289 52.907 53.493 54.041 54.550 55.016 55.437 55.809 56.129 56.396 56.608 56.763 56.859 56.896 56.874 56.792 56.651 56.453 56.198 55.889 - 48.941 49.701 50.443 51.165 51.862 52.531 53.170 53.775 54.343 54.869 55.352 55.788 56.174 56.506 56.784 57.004 57.165 57.265 57.304 57.282 57.197 57.052 56.847 56.583 56.263 - 49.072 49.855 50.619 51.362 52.080 52.771 53.430 54.055 54.642 55.187 55.686 56.138 56.537 56.883 57.171 57.399 57.566 57.671 57.712 57.689 57.602 57.452 57.239 56.967 56.636 - 49.200 50.004 50.790 51.555 52.295 53.007 53.687 54.332 54.938 55.502 56.019 56.486 56.900 57.258 57.556 57.794 57.967 58.076 58.119 58.095 58.006 57.850 57.631 57.349 57.007 - 49.324 50.150 50.958 51.745 52.507 53.240 53.942 54.607 55.233 55.815 56.349 56.833 57.261 57.632 57.941 58.188 58.368 58.481 58.526 58.502 58.409 58.249 58.022 57.730 57.377 - 49.443 50.291 51.122 51.931 52.715 53.470 54.193 54.879 55.525 56.126 56.678 57.178 57.621 58.005 58.326 58.581 58.768 58.886 58.932 58.908 58.812 58.646 58.412 58.110 57.745 - 49.559 50.429 51.282 52.113 52.920 53.697 54.441 55.148 55.814 56.434 57.005 57.521 57.980 58.377 58.709 58.974 59.168 59.290 59.338 59.313 59.215 59.043 58.801 58.489 58.112 - 49.670 50.563 51.438 52.292 53.121 53.920 54.686 55.415 56.101 56.741 57.330 57.863 58.338 58.748 59.092 59.366 59.567 59.694 59.744 59.719 59.617 59.439 59.189 58.867 58.477 - 49.778 50.693 51.591 52.468 53.319 54.141 54.929 55.678 56.386 57.045 57.653 58.204 58.694 59.119 59.474 59.758 59.966 60.098 60.150 60.124 60.018 59.835 59.576 59.244 58.841 - 49.881 50.819 51.740 52.639 53.513 54.358 55.168 55.939 56.668 57.347 57.974 58.543 59.049 59.488 59.856 60.149 60.365 60.501 60.556 60.529 60.420 60.230 59.963 59.619 59.203 - 49.981 50.941 51.885 52.807 53.704 54.571 55.404 56.198 56.947 57.647 58.293 58.880 59.403 59.856 60.237 60.540 60.764 60.905 60.961 60.933 60.821 60.625 60.348 59.993 59.564 - 50.076 51.060 52.026 52.972 53.892 54.782 55.637 56.453 57.224 57.945 58.611 59.216 59.755 60.224 60.617 60.931 61.162 61.308 61.367 61.338 61.222 61.019 60.733 60.367 59.923 - 50.167 51.174 52.164 53.132 54.076 54.989 55.867 56.705 57.498 58.240 58.926 59.550 60.107 60.590 60.997 61.321 61.560 61.711 61.772 61.742 61.622 61.413 61.118 60.739 60.281 - 50.255 51.284 52.297 53.289 54.256 55.192 56.094 56.955 57.770 58.533 59.240 59.883 60.456 60.956 61.375 61.711 61.958 62.114 62.177 62.146 62.022 61.806 61.501 61.110 60.637 - 50.338 51.391 52.427 53.442 54.432 55.392 56.317 57.201 58.039 58.824 59.551 60.213 60.805 61.320 61.754 62.100 62.356 62.517 62.582 62.551 62.422 62.199 61.883 61.480 60.992 - 50.417 51.493 52.552 53.591 54.605 55.589 56.537 57.445 58.305 59.112 59.860 60.542 61.152 61.684 62.131 62.489 62.753 62.920 62.988 62.955 62.822 62.591 62.265 61.848 61.345 - 50.492 51.591 52.674 53.737 54.774 55.782 56.754 57.685 58.568 59.398 60.167 60.870 61.498 62.046 62.508 62.878 63.151 63.323 63.393 63.359 63.221 62.983 62.646 62.216 61.697 - 50.563 51.685 52.792 53.878 54.940 55.971 56.967 57.922 58.829 59.681 60.472 61.195 61.843 62.408 62.884 63.266 63.548 63.726 63.798 63.763 63.621 63.374 63.026 62.582 62.046 - 50.630 51.775 52.905 54.016 55.101 56.157 57.177 58.156 59.086 59.962 60.775 61.519 62.186 62.768 63.260 63.654 63.945 64.129 64.203 64.167 64.020 63.765 63.405 62.947 62.394 - 50.693 51.861 53.015 54.149 55.259 56.339 57.383 58.386 59.341 60.239 61.075 61.841 62.527 63.128 63.635 64.041 64.342 64.532 64.609 64.571 64.419 64.155 63.784 63.310 62.740 - 50.751 51.943 53.120 54.278 55.413 56.517 57.586 58.613 59.592 60.515 61.373 62.160 62.867 63.486 64.009 64.428 64.739 64.935 65.014 64.975 64.818 64.545 64.161 63.672 63.085 - 50.806 52.021 53.222 54.404 55.562 56.691 57.785 58.837 59.840 60.787 61.669 62.478 63.205 63.843 64.382 64.815 65.135 65.338 65.420 65.379 65.216 64.934 64.538 64.033 63.427 - 50.856 52.094 53.319 54.525 55.708 56.862 57.981 59.057 60.085 61.056 61.962 62.793 63.542 64.199 64.754 65.201 65.532 65.741 65.825 65.783 65.614 65.323 64.913 64.392 63.767 - 50.901 52.163 53.411 54.642 55.849 57.028 58.172 59.274 60.327 61.323 62.252 63.107 63.877 64.553 65.126 65.587 65.928 66.144 66.231 66.187 66.012 65.711 65.288 64.750 64.105 - 50.943 52.228 53.500 54.755 55.987 57.191 58.360 59.487 60.565 61.586 62.540 63.418 64.210 64.906 65.497 65.972 66.325 66.548 66.637 66.591 66.410 66.099 65.661 65.106 64.441 - 50.980 52.288 53.584 54.863 56.120 57.349 58.543 59.696 60.800 61.846 62.825 63.727 64.542 65.258 65.867 66.357 66.721 66.951 67.043 66.995 66.808 66.485 66.034 65.460 64.775 - 51.013 52.344 53.664 54.967 56.249 57.503 58.723 59.902 61.031 62.103 63.107 64.033 64.871 65.609 66.236 66.742 67.117 67.355 67.449 67.399 67.205 66.872 66.405 65.813 65.107 - 51.041 52.396 53.739 55.067 56.374 57.653 58.899 60.103 61.259 62.357 63.386 64.337 65.198 65.958 66.604 67.126 67.513 67.758 67.856 67.804 67.603 67.257 66.775 66.164 65.436 - 51.065 52.443 53.810 55.162 56.494 57.798 59.070 60.301 61.483 62.607 63.662 64.639 65.524 66.305 66.971 67.509 67.909 68.162 68.263 68.208 68.000 67.642 67.143 66.513 65.762 - 51.085 52.486 53.877 55.253 56.610 57.940 59.237 60.494 61.703 62.853 63.935 64.937 65.847 66.651 67.337 67.892 68.305 68.566 68.669 68.612 68.396 68.026 67.511 66.860 66.086 - 51.100 52.524 53.939 55.340 56.721 58.077 59.400 60.684 61.919 63.096 64.205 65.233 66.168 66.996 67.702 68.275 68.701 68.970 69.077 69.017 68.793 68.410 67.877 67.205 66.407 - 51.111 52.558 53.997 55.422 56.828 58.209 59.558 60.869 62.131 63.336 64.472 65.526 66.487 67.338 68.066 68.656 69.096 69.374 69.484 69.422 69.189 68.792 68.241 67.547 66.725 - 51.117 52.588 54.050 55.499 56.930 58.337 59.712 61.050 62.339 63.571 64.735 65.816 66.803 67.679 68.429 69.038 69.492 69.779 69.891 69.826 69.585 69.174 68.604 67.888 67.040 - 51.119 52.612 54.098 55.572 57.028 58.460 59.862 61.226 62.543 63.803 64.994 66.103 67.116 68.017 68.790 69.418 69.887 70.183 70.299 70.231 69.981 69.555 68.965 68.226 67.352 - 51.116 52.633 54.142 55.640 57.120 58.578 60.007 61.398 62.743 64.030 65.250 66.387 67.427 68.354 69.150 69.798 70.282 70.588 70.707 70.636 70.376 69.935 69.325 68.561 67.661 - 51.109 52.648 54.181 55.703 57.209 58.692 60.147 61.565 62.938 64.254 65.502 66.668 67.736 68.689 69.509 70.177 70.677 70.993 71.116 71.041 70.771 70.313 69.682 68.894 67.966 - 51.097 52.659 54.216 55.761 57.292 58.801 60.282 61.728 63.128 64.473 65.750 66.945 68.041 69.021 69.866 70.555 71.071 71.398 71.524 71.446 71.165 70.691 70.038 69.224 68.267 - 51.081 52.666 54.245 55.815 57.370 58.905 60.413 61.885 63.314 64.688 65.994 67.218 68.343 69.351 70.221 70.933 71.466 71.803 71.933 71.851 71.559 71.067 70.391 69.551 68.565 - 51.060 52.668 54.270 55.864 57.444 59.004 60.538 62.038 63.495 64.898 66.234 67.488 68.642 69.679 70.575 71.309 71.860 72.208 72.342 72.256 71.952 71.442 70.743 69.874 68.859 - 51.035 52.665 54.291 55.908 57.513 59.098 60.659 62.186 63.671 65.103 66.469 67.753 68.938 70.004 70.927 71.685 72.254 72.614 72.752 72.661 72.345 71.816 71.092 70.195 69.148 - 51.005 52.657 54.306 55.947 57.576 59.187 60.774 62.329 63.843 65.304 66.700 68.015 69.231 70.326 71.277 72.059 72.647 73.020 73.162 73.066 72.737 72.188 71.438 70.512 69.433 - 50.970 52.645 54.316 55.981 57.635 59.271 60.885 62.467 64.009 65.500 66.926 68.272 69.519 70.645 71.625 72.432 73.040 73.426 73.572 73.471 73.129 72.558 71.782 70.825 69.714 - 50.931 52.628 54.322 56.011 57.688 59.350 60.990 62.599 64.170 65.691 67.148 68.526 69.804 70.962 71.971 72.804 73.433 73.832 73.982 73.877 73.520 72.927 72.123 71.134 69.990 - 50.887 52.606 54.323 56.035 57.737 59.424 61.090 62.727 64.326 65.876 67.365 68.774 70.085 71.275 72.314 73.175 73.825 74.238 74.393 74.282 73.910 73.294 72.461 71.440 70.261 - 50.839 52.579 54.319 56.054 57.780 59.492 61.184 62.848 64.476 66.057 67.576 69.018 70.362 71.584 72.656 73.544 74.217 74.645 74.804 74.687 74.299 73.659 72.795 71.741 70.526 - 50.786 52.548 54.310 56.068 57.818 59.555 61.273 62.965 64.621 66.232 67.782 69.257 70.635 71.890 72.994 73.912 74.608 75.051 75.216 75.092 74.687 74.021 73.126 72.037 70.786 - 50.728 52.512 54.296 56.077 57.851 59.612 61.356 63.075 64.760 66.401 67.983 69.491 70.903 72.193 73.330 74.278 74.999 75.458 75.628 75.497 75.074 74.381 73.454 72.328 71.041 - 50.666 52.471 54.277 56.081 57.878 59.665 61.434 63.180 64.894 66.564 68.179 69.720 71.166 72.491 73.662 74.642 75.389 75.865 76.040 75.902 75.460 74.739 73.777 72.615 71.289 - 50.599 52.425 54.253 56.079 57.900 59.711 61.506 63.279 65.021 66.722 68.368 69.943 71.424 72.785 73.992 75.004 75.778 76.272 76.452 76.307 75.844 75.094 74.096 72.896 71.531 - 50.527 52.375 54.224 56.073 57.917 59.752 61.573 63.372 65.143 66.874 68.552 70.160 71.677 73.075 74.318 75.364 76.167 76.679 76.865 76.711 76.227 75.445 74.411 73.171 71.766 - 50.451 52.319 54.191 56.061 57.929 59.788 61.633 63.460 65.258 67.019 68.729 70.372 71.925 73.360 74.640 75.722 76.554 77.086 77.279 77.115 76.608 75.794 74.721 73.440 71.995 - 50.370 52.259 54.152 56.045 57.935 59.817 61.688 63.541 65.368 67.159 68.901 70.577 72.167 73.640 74.959 76.077 76.940 77.494 77.693 77.519 76.988 76.139 75.026 73.703 72.216 - 50.284 52.194 54.108 56.023 57.935 59.842 61.737 63.616 65.471 67.291 69.066 70.777 72.403 73.914 75.273 76.429 77.326 77.901 78.107 77.923 77.365 76.480 75.325 73.959 72.430 - 50.194 52.124 54.059 55.995 57.930 59.860 61.780 63.685 65.567 67.418 69.224 70.969 72.632 74.183 75.583 76.779 77.709 78.308 78.522 78.326 77.741 76.817 75.618 74.208 72.636 - 50.099 52.050 54.005 55.963 57.920 59.873 61.817 63.748 65.658 67.537 69.375 71.155 72.855 74.446 75.887 77.125 78.092 78.716 78.937 78.729 78.114 77.149 75.905 74.449 72.834 - 49.999 51.970 53.946 55.925 57.904 59.880 61.848 63.804 65.741 67.650 69.520 71.334 73.072 74.703 76.187 77.467 78.472 79.123 79.352 79.131 78.484 77.476 76.185 74.683 73.023 - 49.894 51.886 53.882 55.882 57.882 59.881 61.873 63.854 65.818 67.756 69.657 71.506 73.281 74.954 76.481 77.806 78.851 79.530 79.768 79.532 78.851 77.797 76.458 74.908 73.204 - 49.785 51.796 53.813 55.833 57.856 59.876 61.892 63.898 65.888 67.855 69.787 71.670 73.483 75.197 76.769 78.140 79.228 79.937 80.184 79.932 79.214 78.113 76.723 75.124 73.375 - 49.672 51.702 53.739 55.780 57.823 59.866 61.905 63.935 65.952 67.946 69.909 71.826 73.677 75.433 77.051 78.469 79.602 80.344 80.601 80.331 79.574 78.422 76.980 75.332 73.537 - 49.553 51.603 53.660 55.721 57.785 59.849 61.911 63.966 66.008 68.031 70.024 71.975 73.864 75.661 77.326 78.793 79.973 80.751 81.018 80.729 79.929 78.724 77.228 75.529 73.689 - 49.431 51.500 53.576 55.657 57.741 59.827 61.911 63.990 66.057 68.108 70.131 72.115 74.042 75.882 77.593 79.112 80.341 81.157 81.436 81.125 80.279 79.019 77.467 75.717 73.831 - 49.303 51.391 53.486 55.587 57.692 59.799 61.905 64.007 66.100 68.177 70.230 72.248 74.211 76.093 77.853 79.424 80.706 81.562 81.854 81.520 80.624 79.304 77.696 75.894 73.963 - 49.171 51.278 53.392 55.512 57.637 59.765 61.893 64.018 66.135 68.239 70.321 72.371 74.371 76.296 78.104 79.729 81.066 81.967 82.273 81.912 80.962 79.581 77.914 76.060 74.084 - 49.034 51.160 53.293 55.432 57.577 59.725 61.874 64.021 66.163 68.293 70.404 72.486 74.522 76.489 78.346 80.026 81.422 82.371 82.692 82.302 81.294 79.848 78.120 76.215 74.193 - 48.892 51.037 53.189 55.347 57.511 59.679 61.849 64.019 66.183 68.339 70.478 72.592 74.664 76.672 78.578 80.315 81.773 82.774 83.111 82.689 81.617 80.103 78.315 76.358 74.292 - 48.746 50.909 53.079 55.256 57.440 59.627 61.818 64.009 66.197 68.377 70.544 72.688 74.796 76.845 78.800 80.595 82.118 83.175 83.531 83.072 81.932 80.347 78.497 76.488 74.378 - 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45.705 45.663 45.610 45.548 45.477 45.397 45.308 45.212 45.108 44.996 44.877 44.753 44.622 44.485 44.343 44.197 44.047 43.893 43.736 43.577 43.415 43.251 43.086 42.921 42.754 - 46.110 46.059 45.997 45.925 45.842 45.749 45.647 45.535 45.415 45.287 45.151 45.008 44.858 44.702 44.540 44.373 44.202 44.027 43.848 43.667 43.483 43.298 43.111 42.924 42.736 - 46.510 46.451 46.380 46.297 46.202 46.097 45.980 45.854 45.718 45.573 45.420 45.258 45.089 44.913 44.731 44.544 44.351 44.154 43.954 43.750 43.545 43.337 43.129 42.920 42.711 - 46.906 46.839 46.759 46.665 46.559 46.441 46.311 46.169 46.017 45.855 45.684 45.504 45.316 45.120 44.918 44.709 44.495 44.276 44.054 43.829 43.601 43.371 43.141 42.910 42.679 - 47.301 47.226 47.136 47.032 46.914 46.782 46.638 46.482 46.314 46.135 45.945 45.747 45.539 45.323 45.100 44.870 44.635 44.394 44.150 43.903 43.653 43.401 43.148 42.895 42.643 - 47.693 47.610 47.511 47.396 47.266 47.122 46.963 46.792 46.607 46.411 46.204 45.986 45.759 45.523 45.279 45.028 44.771 44.509 44.242 43.973 43.700 43.426 43.151 42.876 42.602 - 48.084 47.993 47.884 47.759 47.617 47.459 47.286 47.099 46.899 46.685 46.459 46.223 45.976 45.719 45.455 45.183 44.904 44.620 44.331 44.039 43.744 43.447 43.150 42.853 42.557 - 48.368 48.273 48.159 48.026 47.875 47.708 47.524 47.324 47.109 46.881 46.640 46.387 46.123 45.848 45.565 45.274 44.976 44.672 44.362 44.049 43.733 43.416 43.097 42.778 42.460 - 48.599 48.502 48.384 48.246 48.089 47.912 47.718 47.508 47.281 47.039 46.783 46.515 46.234 45.943 45.642 45.332 45.015 44.691 44.361 44.028 43.691 43.352 43.011 42.670 42.329 - 48.796 48.700 48.581 48.439 48.276 48.092 47.889 47.668 47.429 47.175 46.905 46.621 46.325 46.017 45.698 45.370 45.034 44.691 44.340 43.986 43.628 43.267 42.904 42.540 42.176 - 48.964 48.870 48.751 48.607 48.439 48.249 48.038 47.807 47.558 47.291 47.008 46.709 46.397 46.073 45.737 45.391 45.036 44.673 44.302 43.927 43.548 43.165 42.779 42.390 42.001 - 49.217 49.121 48.998 48.848 48.673 48.474 48.252 48.009 47.747 47.466 47.167 46.853 46.524 46.182 45.827 45.462 45.087 44.705 44.313 43.918 43.517 43.112 42.705 42.294 41.881 - 49.636 49.530 49.394 49.231 49.042 48.828 48.590 48.331 48.051 47.751 47.434 47.100 46.752 46.389 46.014 45.629 45.233 44.829 44.417 44.001 43.580 43.156 42.728 42.299 41.868 - 50.050 49.932 49.784 49.608 49.405 49.176 48.923 48.647 48.349 48.032 47.695 47.342 46.974 46.591 46.195 45.789 45.372 44.947 44.516 44.078 43.636 43.191 42.744 42.296 41.847 - 50.458 50.330 50.170 49.981 49.764 49.520 49.251 48.958 48.643 48.307 47.952 47.579 47.190 46.787 46.371 45.943 45.506 45.060 44.607 44.148 43.685 43.220 42.753 42.285 41.818 - 50.862 50.723 50.552 50.350 50.119 49.860 49.575 49.265 48.932 48.578 48.204 47.811 47.402 46.978 46.541 46.092 45.633 45.166 44.692 44.212 43.729 43.243 42.756 42.269 41.782 - 51.263 51.113 50.930 50.715 50.470 50.196 49.895 49.568 49.218 48.845 48.451 48.039 47.609 47.165 46.707 46.237 45.757 45.268 44.773 44.271 43.767 43.261 42.753 42.246 41.740 - 51.660 51.500 51.306 51.078 50.819 50.530 50.212 49.868 49.500 49.108 48.695 48.263 47.813 47.347 46.868 46.377 45.875 45.365 44.848 44.326 43.800 43.273 42.745 42.218 41.693 - 52.055 51.885 51.679 51.438 51.165 50.860 50.527 50.165 49.778 49.368 48.935 48.482 48.012 47.526 47.025 46.512 45.989 45.458 44.919 44.375 43.829 43.281 42.733 42.186 41.641 - 52.448 52.267 52.049 51.796 51.508 51.188 50.838 50.459 50.054 49.624 49.172 48.699 48.208 47.700 47.178 46.644 46.099 45.546 44.986 44.421 43.853 43.284 42.716 42.149 41.584 - 52.839 52.648 52.418 52.151 51.849 51.513 51.146 50.750 50.326 49.877 49.405 48.912 48.400 47.871 47.327 46.771 46.205 45.630 45.049 44.462 43.873 43.284 42.694 42.107 41.523 - 53.228 53.026 52.784 52.504 52.188 51.836 51.453 51.038 50.596 50.127 49.635 49.121 48.588 48.038 47.473 46.895 46.307 45.710 45.107 44.500 43.889 43.279 42.669 42.062 41.458 - 53.616 53.403 53.149 52.856 52.524 52.157 51.756 51.324 50.863 50.375 49.862 49.327 48.773 48.201 47.615 47.015 46.405 45.787 45.162 44.533 43.901 43.270 42.639 42.012 41.389 - 54.002 53.779 53.513 53.206 52.859 52.476 52.058 51.607 51.127 50.619 50.086 49.530 48.955 48.361 47.753 47.132 46.500 45.859 45.213 44.562 43.909 43.257 42.606 41.959 41.316 - 54.387 54.153 53.875 53.554 53.192 52.792 52.357 51.888 51.388 50.860 50.307 49.730 49.133 48.518 47.888 47.244 46.590 45.928 45.260 44.588 43.914 43.240 42.569 41.902 41.240 - 54.771 54.526 54.235 53.900 53.523 53.107 52.654 52.166 51.647 51.099 50.525 49.927 49.308 48.672 48.019 47.354 46.678 45.994 45.304 44.610 43.915 43.220 42.528 41.841 41.159 - 55.154 54.898 54.594 54.245 53.853 53.420 52.949 52.442 51.903 51.335 50.740 50.121 49.480 48.822 48.147 47.460 46.762 46.056 45.344 44.629 43.912 43.197 42.484 41.777 41.076 - 55.536 55.268 54.952 54.588 54.180 53.730 53.241 52.716 52.157 51.568 50.952 50.311 49.649 48.968 48.272 47.562 46.842 46.114 45.380 44.644 43.906 43.170 42.437 41.709 40.989 - 55.917 55.638 55.309 54.930 54.506 54.039 53.532 52.987 52.408 51.799 51.161 50.499 49.815 49.112 48.393 47.661 46.919 46.169 45.413 44.655 43.896 43.139 42.386 41.638 40.898 - 56.297 56.007 55.664 55.271 54.831 54.346 53.820 53.256 52.657 52.027 51.368 50.683 49.977 49.252 48.511 47.757 46.992 46.220 45.443 44.663 43.883 43.105 42.331 41.564 40.805 - 56.676 56.374 56.018 55.610 55.153 54.651 54.106 53.523 52.903 52.252 51.571 50.865 50.137 49.389 48.626 47.849 47.062 46.268 45.469 44.668 43.866 43.068 42.274 41.486 40.708 - 57.055 56.741 56.371 55.948 55.475 54.954 54.391 53.787 53.147 52.474 51.772 51.043 50.293 49.523 48.737 47.938 47.129 46.313 45.492 44.669 43.847 43.027 42.213 41.406 40.608 - 57.433 57.107 56.723 56.284 55.794 55.256 54.673 54.049 53.388 52.693 51.969 51.219 50.446 49.653 48.845 48.024 47.192 46.354 45.511 44.667 43.823 42.983 42.149 41.322 40.504 - 57.810 57.472 57.074 56.620 56.112 55.555 54.953 54.308 53.626 52.910 52.164 51.391 50.596 49.781 48.950 48.106 47.252 46.392 45.527 44.662 43.797 42.936 42.081 41.235 40.398 - 58.187 57.836 57.424 56.953 56.428 55.853 55.231 54.566 53.862 53.124 52.356 51.561 50.742 49.905 49.051 48.185 47.309 46.426 45.540 44.653 43.767 42.886 42.011 41.145 40.289 - 58.563 58.199 57.772 57.286 56.743 56.149 55.506 54.821 54.096 53.336 52.545 51.727 50.886 50.026 49.149 48.260 47.362 46.458 45.550 44.641 43.734 42.832 41.937 41.051 40.177 - 58.938 58.562 58.120 57.617 57.056 56.442 55.780 55.073 54.326 53.544 52.731 51.890 51.026 50.143 49.244 48.333 47.412 46.485 45.556 44.626 43.698 42.776 41.860 40.955 40.061 - 59.313 58.923 58.466 57.946 57.368 56.734 56.051 55.323 54.554 53.750 52.914 52.050 51.163 50.257 49.335 48.401 47.458 46.510 45.559 44.607 43.659 42.716 41.781 40.856 39.943 - 59.687 59.284 58.812 58.275 57.677 57.024 56.320 55.571 54.780 53.953 53.094 52.207 51.297 50.368 49.424 48.467 47.502 46.531 45.558 44.586 43.616 42.653 41.698 40.754 39.822 - 60.061 59.644 59.156 58.602 57.985 57.312 56.587 55.816 55.002 54.153 53.271 52.361 51.428 50.476 49.508 48.529 47.541 46.549 45.554 44.561 43.571 42.587 41.612 40.649 39.698 - 60.434 60.003 59.499 58.927 58.292 57.598 56.852 56.058 55.222 54.349 53.444 52.511 51.555 50.580 49.590 48.588 47.578 46.563 45.547 44.533 43.522 42.518 41.523 40.540 39.571 - 60.807 60.362 59.841 59.251 58.596 57.882 57.114 56.298 55.440 54.543 53.615 52.659 51.679 50.681 49.668 48.643 47.611 46.575 45.537 44.501 43.470 42.446 41.431 40.429 39.442 - 61.179 60.719 60.182 59.574 58.899 58.164 57.374 56.535 55.654 54.734 53.783 52.803 51.800 50.779 49.742 48.695 47.641 46.583 45.523 44.467 43.415 42.370 41.337 40.315 39.309 - 61.550 61.076 60.522 59.895 59.200 58.443 57.631 56.770 55.865 54.922 53.947 52.944 51.918 50.873 49.814 48.744 47.667 46.587 45.507 44.429 43.356 42.292 41.239 40.199 39.174 - 61.921 61.432 60.861 60.214 59.499 58.721 57.886 57.002 56.074 55.107 54.108 53.081 52.032 50.964 49.882 48.789 47.690 46.588 45.487 44.388 43.295 42.211 41.138 40.079 39.036 - 62.292 61.787 61.198 60.532 59.796 58.996 58.139 57.231 56.279 55.289 54.266 53.215 52.142 51.051 49.946 48.831 47.710 46.586 45.463 44.344 43.231 42.126 41.034 39.956 38.895 - 62.662 62.141 61.534 60.849 60.091 59.269 58.389 57.458 56.482 55.468 54.421 53.346 52.250 51.135 50.007 48.870 47.726 46.581 45.437 44.297 43.163 42.039 40.928 39.831 38.751 - 63.031 62.494 61.869 61.163 60.384 59.540 58.636 57.681 56.681 55.643 54.572 53.474 52.353 51.215 50.065 48.905 47.739 46.572 45.407 44.246 43.092 41.949 40.818 39.703 38.604 - 63.400 62.846 62.202 61.476 60.676 59.808 58.881 57.902 56.878 55.815 54.720 53.598 52.454 51.292 50.119 48.936 47.749 46.560 45.374 44.193 43.019 41.855 40.706 39.572 38.455 - 63.768 63.197 62.535 61.788 60.965 60.074 59.123 58.120 57.071 55.984 54.865 53.718 52.550 51.366 50.169 48.964 47.755 46.545 45.338 44.136 42.942 41.759 40.590 39.438 38.303 - 64.135 63.548 62.865 62.097 61.251 60.337 59.362 58.334 57.261 56.150 55.006 53.835 52.644 51.436 50.216 48.989 47.758 46.527 45.298 44.076 42.862 41.660 40.472 39.301 38.149 - 64.502 63.897 63.195 62.405 61.536 60.598 59.598 58.546 57.448 56.312 55.143 53.949 52.734 51.502 50.260 49.010 47.757 46.505 45.255 44.013 42.779 41.558 40.351 39.162 37.991 - 64.869 64.245 63.522 62.710 61.819 60.856 59.832 58.754 57.632 56.470 55.277 54.059 52.820 51.565 50.300 49.028 47.753 46.479 45.209 43.946 42.693 41.453 40.227 39.019 37.831 - 65.234 64.592 63.849 63.014 62.099 61.112 60.062 58.960 57.812 56.626 55.408 54.165 52.902 51.625 50.337 49.043 47.746 46.451 45.160 43.877 42.604 41.344 40.100 38.874 37.669 - 65.599 64.938 64.174 63.316 62.376 61.364 60.290 59.162 57.988 56.777 55.535 54.268 52.981 51.680 50.370 49.053 47.735 46.419 45.108 43.805 42.512 41.233 39.971 38.727 37.503 - 65.963 65.283 64.497 63.616 62.651 61.614 60.514 59.361 58.162 56.925 55.658 54.367 53.057 51.732 50.399 49.061 47.721 46.384 45.052 43.729 42.417 41.119 39.838 38.576 37.335 - 66.327 65.627 64.818 63.913 62.924 61.861 60.735 59.556 58.332 57.070 55.778 54.462 53.128 51.781 50.425 49.065 47.704 46.345 44.993 43.650 42.319 41.002 39.703 38.423 37.165 - 66.690 65.969 65.138 64.209 63.194 62.105 60.953 59.748 58.498 57.211 55.894 54.554 53.196 51.826 50.447 49.065 47.683 46.304 44.931 43.569 42.218 40.883 39.565 38.267 36.991 - 67.051 66.310 65.456 64.502 63.461 62.346 61.168 59.936 58.660 57.348 56.006 54.642 53.260 51.867 50.466 49.062 47.658 46.258 44.866 43.484 42.114 40.760 39.424 38.108 36.815 - 67.413 66.649 65.771 64.792 63.726 62.584 61.379 60.121 58.819 57.481 56.115 54.726 53.321 51.904 50.481 49.055 47.630 46.210 44.797 43.396 42.006 40.634 39.280 37.947 36.637 - 67.773 66.988 66.085 65.081 63.988 62.819 61.587 60.302 58.974 57.611 56.219 54.806 53.377 51.938 50.492 49.045 47.599 46.158 44.726 43.304 41.896 40.506 39.134 37.783 36.456 - 68.132 67.324 66.397 65.366 64.246 63.051 61.791 60.480 59.125 57.736 56.320 54.883 53.430 51.968 50.500 49.031 47.564 46.103 44.651 43.210 41.783 40.375 38.985 37.616 36.272 - 68.490 67.660 66.707 65.649 64.502 63.279 61.992 60.654 59.273 57.858 56.417 54.955 53.479 51.994 50.505 49.014 47.526 46.045 44.573 43.113 41.668 40.240 38.833 37.447 36.086 - 68.848 67.993 67.015 65.930 64.754 63.503 62.189 60.824 59.416 57.976 56.509 55.024 53.525 52.017 50.505 48.993 47.485 45.983 44.492 43.013 41.549 40.103 38.678 37.275 35.897 - 69.204 68.325 67.320 66.207 65.004 63.724 62.382 60.989 59.556 58.089 56.598 55.088 53.566 52.036 50.502 48.969 47.440 45.918 44.408 42.909 41.427 39.964 38.521 37.100 35.705 - 69.559 68.655 67.623 66.482 65.250 63.942 62.572 61.151 59.691 58.199 56.683 55.149 53.603 52.051 50.495 48.941 47.392 45.850 44.320 42.803 41.302 39.821 38.360 36.923 35.511 - 69.913 68.983 67.923 66.753 65.492 64.155 62.757 61.309 59.822 58.304 56.764 55.206 53.637 52.062 50.485 48.910 47.340 45.779 44.229 42.693 41.175 39.675 38.197 36.743 35.315 - 70.265 69.309 68.221 67.022 65.731 64.365 62.938 61.463 59.949 58.406 56.840 55.259 53.667 52.069 50.471 48.875 47.285 45.704 44.135 42.581 41.044 39.527 38.032 36.561 35.115 - 70.616 69.633 68.516 67.287 65.966 64.571 63.116 61.613 60.072 58.503 56.913 55.307 53.692 52.073 50.453 48.836 47.226 45.626 44.038 42.465 40.911 39.376 37.863 36.375 34.914 - 70.966 69.955 68.808 67.548 66.198 64.773 63.289 61.758 60.191 58.596 56.981 55.352 53.714 52.073 50.431 48.794 47.164 45.544 43.938 42.346 40.774 39.222 37.692 36.187 34.709 - 71.314 70.274 69.097 67.807 66.425 64.970 63.457 61.899 60.305 58.685 57.045 55.392 53.732 52.069 50.406 48.748 47.099 45.460 43.835 42.225 40.635 39.065 37.518 35.997 34.503 - 71.661 70.591 69.383 68.061 66.649 65.164 63.622 62.035 60.415 58.769 57.105 55.429 53.746 52.061 50.377 48.699 47.030 45.372 43.728 42.100 40.492 38.906 37.342 35.804 34.293 - 72.005 70.905 69.665 68.312 66.868 65.353 63.782 62.167 60.520 58.849 57.160 55.461 53.756 52.049 50.345 48.647 46.958 45.281 43.619 41.972 40.347 38.743 37.163 35.608 34.082 - 72.348 71.217 69.945 68.559 67.083 65.537 63.937 62.295 60.621 58.924 57.211 55.489 53.761 52.033 50.309 48.590 46.882 45.186 43.506 41.842 40.199 38.578 36.981 35.410 33.867 - 72.689 71.526 70.220 68.801 67.294 65.717 64.087 62.417 60.717 58.995 57.258 55.513 53.763 52.014 50.269 48.531 46.803 45.089 43.390 41.709 40.048 38.410 36.797 35.209 33.650 - 73.028 71.832 70.492 69.040 67.500 65.892 64.233 62.535 60.809 59.062 57.301 55.532 53.761 51.991 50.225 48.467 46.721 44.988 43.271 41.572 39.895 38.240 36.610 35.006 33.431 - 73.364 72.134 70.760 69.274 67.701 66.063 64.374 62.649 60.895 59.123 57.339 55.548 53.755 51.963 50.178 48.400 46.635 44.884 43.149 41.433 39.738 38.066 36.420 34.800 33.209 - 73.698 72.434 71.024 69.504 67.898 66.228 64.510 62.757 60.978 59.181 57.373 55.559 53.744 51.932 50.126 48.330 46.546 44.776 43.024 41.291 39.579 37.890 36.227 34.592 32.985 - 74.030 72.729 71.284 69.728 68.090 66.389 64.642 62.860 61.055 59.233 57.402 55.566 53.730 51.897 50.072 48.256 46.453 44.666 42.896 41.145 39.417 37.712 36.032 34.380 32.758 - 74.359 73.021 71.539 69.948 68.276 66.544 64.768 62.959 61.128 59.282 57.427 55.569 53.711 51.858 50.013 48.179 46.358 44.552 42.764 40.997 39.251 37.530 35.835 34.167 32.528 - 74.684 73.309 71.790 70.163 68.458 66.694 64.888 63.052 61.195 59.325 57.447 55.567 53.689 51.816 49.951 48.098 46.258 44.435 42.630 40.846 39.084 37.346 35.634 33.951 32.297 - 75.007 73.593 72.035 70.373 68.634 66.839 65.004 63.140 61.258 59.364 57.463 55.561 53.662 51.769 49.885 48.013 46.156 44.316 42.492 40.692 38.913 37.159 35.431 33.732 32.062 - 75.326 73.872 72.276 70.577 68.804 66.978 65.114 63.223 61.316 59.397 57.474 55.551 53.631 51.719 49.816 47.925 46.050 44.192 42.352 40.534 38.740 36.969 35.226 33.511 31.825 - 75.641 74.146 72.511 70.776 68.969 67.112 65.219 63.301 61.368 59.426 57.481 55.537 53.597 51.664 49.743 47.834 45.941 44.066 42.208 40.375 38.563 36.777 35.018 33.287 31.586 - 75.953 74.416 72.741 70.969 69.128 67.239 65.318 63.374 61.416 59.451 57.483 55.518 53.558 51.606 49.666 47.739 45.828 43.936 42.062 40.212 38.384 36.582 34.807 33.061 31.344 - 76.260 74.680 72.965 71.156 69.281 67.361 65.411 63.441 61.459 59.470 57.481 55.495 53.515 51.544 49.585 47.641 45.713 43.803 41.912 40.046 38.202 36.385 34.594 32.832 31.100 - 76.562 74.939 73.183 71.336 69.428 67.477 65.499 63.503 61.496 59.485 57.474 55.467 53.468 51.478 49.501 47.539 45.593 43.667 41.760 39.877 38.018 36.184 34.378 32.601 30.854 - 76.860 75.192 73.394 71.510 69.568 67.587 65.581 63.559 61.528 59.495 57.462 55.435 53.416 51.408 49.413 47.434 45.471 43.528 41.606 39.706 37.831 35.981 34.160 32.367 30.604 - 77.152 75.438 73.599 71.678 69.702 67.691 65.657 63.610 61.555 59.499 57.446 55.399 53.361 51.335 49.322 47.325 45.345 43.386 41.447 39.532 37.641 35.776 33.939 32.130 30.353 - 77.439 75.678 73.797 71.839 69.830 67.789 65.727 63.655 61.577 59.499 57.426 55.359 53.302 51.257 49.227 47.213 45.217 43.240 41.286 39.354 37.448 35.568 33.715 31.892 30.099 - 77.719 75.911 73.988 71.992 69.951 67.880 65.792 63.694 61.594 59.494 57.400 55.314 53.239 51.176 49.128 47.097 45.084 43.092 41.121 39.174 37.252 35.357 33.489 31.650 29.842 - 77.993 76.137 74.171 72.139 70.065 67.965 65.850 63.728 61.605 59.485 57.370 55.265 53.171 51.091 49.026 46.978 44.949 42.940 40.954 38.992 37.054 35.143 33.260 31.407 29.583 - 78.260 76.354 74.347 72.278 70.171 68.043 65.902 63.756 61.611 59.470 57.336 55.212 53.100 51.002 48.920 46.855 44.810 42.786 40.784 38.806 36.853 34.927 33.029 31.160 29.322 - 78.518 76.564 74.515 72.410 70.271 68.114 65.948 63.779 61.612 59.450 57.296 55.154 53.024 50.909 48.810 46.729 44.668 42.628 40.611 38.618 36.650 34.708 32.795 30.911 29.058 - 78.769 76.765 74.674 72.533 70.364 68.179 65.988 63.796 61.607 59.425 57.253 55.092 52.944 50.812 48.697 46.600 44.523 42.467 40.435 38.426 36.443 34.487 32.559 30.660 28.792 - 79.011 76.957 74.825 72.649 70.449 68.237 66.021 63.806 61.597 59.395 57.204 55.025 52.861 50.712 48.580 46.468 44.376 42.303 40.256 38.232 36.234 34.263 32.320 30.406 28.523 - 79.243 77.140 74.967 72.756 70.526 68.288 66.048 63.812 61.582 59.361 57.151 54.955 52.773 50.608 48.460 46.332 44.224 42.137 40.074 38.035 36.022 34.036 32.079 30.150 28.252 - 79.465 77.313 75.100 72.855 70.596 68.332 66.069 63.811 61.561 59.321 57.093 54.880 52.681 50.500 48.336 46.192 44.070 41.967 39.889 37.836 35.808 33.807 31.835 29.891 27.978 - 79.676 77.475 75.223 72.946 70.658 68.369 66.083 63.804 61.535 59.276 57.031 54.800 52.586 50.388 48.209 46.050 43.912 41.794 39.702 37.634 35.591 33.576 31.588 29.630 27.702 - 79.875 77.627 75.336 73.027 70.713 68.399 66.091 63.792 61.503 59.227 56.964 54.717 52.486 50.273 48.078 45.904 43.751 41.619 39.511 37.428 35.371 33.341 31.339 29.366 27.423 - 80.062 77.767 75.440 73.100 70.759 68.422 66.093 63.773 61.466 59.172 56.893 54.629 52.382 50.154 47.944 45.754 43.587 41.440 39.318 37.221 35.149 33.104 31.088 29.100 27.142 - 80.235 77.896 75.533 73.164 70.797 68.438 66.088 63.749 61.424 59.113 56.817 54.537 52.275 50.031 47.806 45.602 43.419 41.259 39.122 37.010 34.924 32.865 30.834 28.831 26.858 - 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52.722 52.875 53.023 53.168 53.304 53.434 53.558 53.674 53.783 53.884 53.977 54.061 54.137 54.203 54.260 54.307 54.344 54.371 54.388 54.395 54.391 54.376 54.350 - 52.907 53.080 53.249 53.411 53.566 53.714 53.855 53.987 54.112 54.228 54.334 54.431 54.518 54.594 54.660 54.715 54.758 54.791 54.811 54.820 54.818 54.803 54.776 - 53.082 53.277 53.464 53.645 53.819 53.986 54.144 54.294 54.434 54.564 54.685 54.794 54.893 54.979 55.054 55.117 55.167 55.205 55.229 55.241 55.239 55.223 55.195 - 53.251 53.465 53.673 53.873 54.067 54.252 54.428 54.594 54.751 54.896 55.031 55.153 55.264 55.361 55.445 55.516 55.572 55.615 55.643 55.657 55.656 55.640 55.609 - 53.412 53.646 53.875 54.096 54.308 54.512 54.707 54.890 55.063 55.224 55.373 55.509 55.631 55.739 55.833 55.911 55.975 56.022 56.054 56.070 56.070 56.053 56.020 - 53.567 53.823 54.072 54.313 54.546 54.769 54.981 55.183 55.372 55.549 55.713 55.862 55.996 56.115 56.218 56.305 56.375 56.428 56.464 56.481 56.482 56.464 56.429 - 53.716 53.994 54.264 54.526 54.778 55.021 55.252 55.472 55.678 55.871 56.049 56.212 56.359 56.489 56.602 56.697 56.774 56.832 56.871 56.891 56.892 56.874 56.836 - 53.761 54.061 54.352 54.635 54.907 55.168 55.418 55.654 55.876 56.083 56.275 56.450 56.607 56.747 56.868 56.969 57.050 57.112 57.152 57.171 57.170 57.147 57.103 - 53.746 54.069 54.383 54.687 54.979 55.260 55.527 55.780 56.018 56.240 56.444 56.631 56.798 56.946 57.074 57.180 57.265 57.328 57.368 57.385 57.379 57.350 57.296 - 53.692 54.040 54.378 54.704 55.018 55.318 55.603 55.873 56.127 56.363 56.580 56.778 56.955 57.111 57.245 57.356 57.444 57.507 57.546 57.559 57.547 57.509 57.444 - 53.602 53.978 54.341 54.690 55.025 55.345 55.650 55.937 56.206 56.456 56.687 56.896 57.082 57.246 57.386 57.501 57.590 57.653 57.689 57.697 57.677 57.628 57.550 - 53.608 54.008 54.393 54.764 55.120 55.460 55.783 56.087 56.373 56.638 56.882 57.103 57.300 57.473 57.621 57.741 57.834 57.899 57.935 57.942 57.917 57.862 57.774 - 53.797 54.214 54.618 55.007 55.381 55.739 56.080 56.402 56.704 56.986 57.245 57.480 57.691 57.876 58.034 58.165 58.266 58.338 58.380 58.390 58.369 58.315 58.229 - 53.973 54.409 54.831 55.240 55.633 56.009 56.368 56.708 57.028 57.326 57.600 57.850 58.075 58.272 58.442 58.582 58.692 58.770 58.818 58.832 58.813 58.761 58.675 - 54.140 54.594 55.036 55.464 55.876 56.272 56.650 57.008 57.345 57.659 57.950 58.215 58.453 58.663 58.844 58.994 59.112 59.198 59.250 59.268 59.252 59.201 59.114 - 54.297 54.771 55.232 55.680 56.112 56.527 56.924 57.301 57.656 57.987 58.294 58.574 58.826 59.049 59.241 59.401 59.528 59.620 59.678 59.700 59.686 59.635 59.547 - 54.446 54.940 55.421 55.889 56.341 56.776 57.192 57.588 57.961 58.310 58.633 58.929 59.195 59.431 59.635 59.805 59.940 60.040 60.103 60.128 60.116 60.065 59.976 - 54.587 55.101 55.603 56.091 56.563 57.018 57.454 57.869 58.261 58.628 58.968 59.279 59.560 59.809 60.025 60.205 60.349 60.456 60.524 60.553 60.543 60.492 60.402 - 54.721 55.256 55.778 56.287 56.780 57.255 57.711 58.145 58.556 58.941 59.298 59.626 59.922 60.184 60.412 60.603 60.755 60.869 60.943 60.975 60.966 60.916 60.823 - 54.848 55.404 55.947 56.477 56.991 57.487 57.963 58.417 58.847 59.250 59.625 59.969 60.280 60.556 60.796 60.997 61.159 61.280 61.359 61.395 61.388 61.337 61.242 - 54.969 55.546 56.111 56.661 57.196 57.713 58.210 58.684 59.133 59.555 59.948 60.308 60.635 60.925 61.177 61.390 61.561 61.689 61.773 61.813 61.807 61.755 61.658 - 55.084 55.682 56.268 56.840 57.397 57.935 58.452 58.947 59.416 59.857 60.267 60.645 60.987 61.292 61.557 61.780 61.961 62.096 62.186 62.229 62.224 62.172 62.072 - 55.193 55.812 56.420 57.014 57.592 58.151 58.690 59.205 59.694 60.154 60.583 60.978 61.336 61.656 61.934 62.169 62.359 62.502 62.597 62.643 62.640 62.587 62.485 - 55.297 55.937 56.566 57.182 57.782 58.363 58.923 59.459 59.968 60.448 60.895 61.308 61.683 62.017 62.309 62.555 62.755 62.906 63.007 63.056 63.054 63.001 62.895 - 55.394 56.057 56.708 57.345 57.967 58.570 59.151 59.708 60.238 60.738 61.205 61.635 62.027 62.377 62.682 62.940 63.150 63.309 63.415 63.468 63.468 63.413 63.304 - 55.487 56.171 56.844 57.503 58.147 58.772 59.375 59.954 60.505 61.025 61.511 61.960 62.368 62.734 63.053 63.324 63.543 63.710 63.823 63.879 63.880 63.824 63.711 - 55.574 56.279 56.974 57.656 58.322 58.970 59.595 60.195 60.767 61.308 61.814 62.281 62.707 63.089 63.422 63.705 63.936 64.111 64.229 64.289 64.291 64.234 64.118 - 55.655 56.383 57.100 57.805 58.493 59.163 59.810 60.433 61.026 61.588 62.114 62.600 63.044 63.442 63.790 64.086 64.327 64.510 64.635 64.699 64.701 64.642 64.523 - 55.732 56.481 57.221 57.948 58.659 59.351 60.021 60.666 61.281 61.864 62.410 62.916 63.378 63.793 64.156 64.465 64.717 64.909 65.039 65.107 65.111 65.050 64.927 - 55.803 56.574 57.337 58.086 58.820 59.535 60.228 60.895 61.532 62.137 62.704 63.229 63.710 64.141 64.520 64.843 65.106 65.307 65.444 65.515 65.520 65.458 65.330 - 55.869 56.663 57.447 58.219 58.976 59.714 60.430 61.120 61.780 62.406 62.994 63.540 64.039 64.488 64.883 65.219 65.494 65.704 65.847 65.922 65.928 65.864 65.732 - 55.930 56.746 57.553 58.348 59.128 59.889 60.628 61.340 62.023 62.671 63.281 63.847 64.366 64.833 65.243 65.594 65.880 66.100 66.250 66.329 66.336 66.270 66.133 - 55.986 56.824 57.653 58.471 59.274 60.059 60.821 61.557 62.262 62.933 63.564 64.152 64.690 65.175 65.603 65.968 66.266 66.496 66.653 66.736 66.743 66.676 66.533 - 56.036 56.897 57.749 58.590 59.416 60.224 61.010 61.769 62.498 63.191 63.845 64.453 65.012 65.516 65.960 66.340 66.651 66.891 67.055 67.142 67.150 67.080 66.933 - 56.082 56.965 57.840 58.704 59.553 60.384 61.194 61.977 62.729 63.446 64.122 64.752 65.331 65.854 66.316 66.711 67.036 67.285 67.456 67.547 67.557 67.485 67.332 - 56.123 57.028 57.925 58.812 59.685 60.540 61.373 62.180 62.956 63.696 64.395 65.048 65.648 66.191 66.670 67.081 67.419 67.679 67.858 67.953 67.963 67.889 67.730 - 56.159 57.086 58.006 58.916 59.812 60.691 61.548 62.379 63.179 63.943 64.665 65.340 65.962 66.525 67.023 67.450 67.801 68.072 68.258 68.358 68.369 68.292 68.127 - 56.189 57.138 58.081 59.015 59.934 60.837 61.719 62.574 63.398 64.186 64.932 65.629 66.273 66.856 67.373 67.817 68.182 68.464 68.659 68.763 68.775 68.695 68.524 - 56.215 57.186 58.152 59.108 60.052 60.978 61.884 62.764 63.612 64.424 65.194 65.915 66.582 67.186 67.722 68.183 68.563 68.856 69.059 69.168 69.181 69.098 68.920 - 56.236 57.229 58.217 59.197 60.164 61.115 62.045 62.949 63.822 64.659 65.453 66.198 66.887 67.513 68.069 68.547 68.942 69.248 69.459 69.573 69.586 69.500 69.315 - 56.251 57.267 58.277 59.280 60.271 61.246 62.200 63.129 64.028 64.889 65.708 66.477 67.189 67.837 68.414 68.910 69.321 69.639 69.859 69.977 69.992 69.902 69.710 - 56.262 57.299 58.333 59.359 60.373 61.372 62.351 63.305 64.229 65.115 65.959 66.753 67.489 68.159 68.756 69.272 69.699 70.029 70.258 70.382 70.397 70.304 70.104 - 56.268 57.327 58.383 59.432 60.470 61.493 62.497 63.476 64.425 65.337 66.206 67.025 67.785 68.479 69.097 69.632 70.075 70.419 70.658 70.786 70.802 70.705 70.498 - 56.268 57.349 58.428 59.500 60.562 61.609 62.637 63.642 64.616 65.554 66.449 67.293 68.078 68.795 69.436 69.991 70.451 70.808 71.057 71.190 71.207 71.106 70.890 - 56.264 57.367 58.468 59.563 60.648 61.720 62.773 63.802 64.802 65.766 66.687 67.557 68.367 69.109 69.772 70.348 70.825 71.197 71.455 71.595 71.612 71.507 71.282 - 56.255 57.379 58.502 59.620 60.729 61.825 62.903 63.958 64.984 65.974 66.921 67.817 68.653 69.420 70.106 70.703 71.199 71.585 71.854 71.999 72.017 71.908 71.673 - 56.240 57.386 58.532 59.672 60.805 61.925 63.028 64.108 65.160 66.177 67.151 68.073 68.936 69.727 70.438 71.056 71.571 71.973 72.252 72.403 72.422 72.308 72.064 - 56.221 57.389 58.556 59.719 60.875 62.020 63.148 64.253 65.331 66.375 67.375 68.325 69.214 70.032 70.767 71.407 71.942 72.360 72.651 72.808 72.827 72.708 72.454 - 56.197 57.386 58.575 59.761 60.940 62.109 63.262 64.393 65.497 66.567 67.595 68.572 69.488 70.333 71.093 71.757 72.312 72.746 73.049 73.212 73.232 73.108 72.843 - 56.168 57.378 58.589 59.797 61.000 62.193 63.370 64.527 65.658 66.755 67.810 68.815 69.759 70.630 71.416 72.104 72.680 73.132 73.447 73.617 73.637 73.507 73.230 - 56.134 57.364 58.597 59.828 61.054 62.271 63.473 64.656 65.813 66.937 68.020 69.053 70.025 70.924 71.737 72.449 73.047 73.516 73.844 74.021 74.042 73.906 73.617 - 56.094 57.346 58.600 59.854 61.103 62.343 63.570 64.779 65.962 67.114 68.225 69.286 70.286 71.214 72.054 72.792 73.413 73.900 74.242 74.426 74.447 74.305 74.003 - 56.050 57.323 58.598 59.874 61.146 62.410 63.662 64.896 66.106 67.285 68.424 69.514 70.543 71.500 72.368 73.132 73.777 74.284 74.639 74.831 74.853 74.703 74.388 - 56.001 57.294 58.591 59.889 61.184 62.471 63.748 65.007 66.244 67.450 68.617 69.737 70.796 71.781 72.678 73.470 74.139 74.666 75.036 75.236 75.258 75.101 74.772 - 55.947 57.261 58.579 59.898 61.215 62.527 63.828 65.113 66.376 67.609 68.805 69.954 71.043 72.058 72.985 73.805 74.499 75.047 75.433 75.641 75.663 75.499 75.155 - 55.888 57.222 58.561 59.902 61.242 62.577 63.902 65.212 66.501 67.763 68.987 70.165 71.285 72.331 73.288 74.137 74.857 75.428 75.829 76.046 76.069 75.896 75.536 - 55.824 57.178 58.538 59.900 61.262 62.620 63.970 65.305 66.621 67.910 69.163 70.371 71.521 72.599 73.587 74.466 75.213 75.807 76.226 76.451 76.474 76.293 75.915 - 55.756 57.129 58.509 59.893 61.277 62.658 64.032 65.392 66.735 68.051 69.333 70.571 71.752 72.861 73.881 74.791 75.567 76.185 76.621 76.857 76.880 76.689 76.293 - 55.682 57.075 58.475 59.880 61.287 62.690 64.088 65.473 66.842 68.186 69.497 70.765 71.977 73.119 74.171 75.113 75.918 76.562 77.017 77.263 77.286 77.084 76.670 - 55.604 57.016 58.436 59.862 61.290 62.717 64.138 65.548 66.942 68.314 69.654 70.952 72.196 73.371 74.456 75.431 76.267 76.937 77.412 77.668 77.691 77.479 77.044 - 55.520 56.952 58.392 59.839 61.288 62.737 64.181 65.616 67.037 68.435 69.804 71.133 72.409 73.617 74.736 75.744 76.613 77.311 77.807 78.074 78.097 77.873 77.416 - 55.432 56.883 58.343 59.809 61.280 62.751 64.219 65.678 67.124 68.550 69.947 71.307 72.615 73.856 75.011 76.054 76.956 77.683 78.201 78.481 78.503 78.267 77.786 - 55.339 56.808 58.288 59.775 61.266 62.759 64.250 65.733 67.205 68.658 70.084 71.474 72.814 74.090 75.280 76.359 77.295 78.053 78.595 78.887 78.909 78.659 78.154 - 55.241 56.729 58.228 59.735 61.247 62.761 64.275 65.782 67.279 68.759 70.213 71.634 73.007 74.317 75.543 76.658 77.631 78.421 78.988 79.294 79.315 79.050 78.518 - 55.138 56.645 58.162 59.689 61.222 62.758 64.293 65.824 67.346 68.852 70.335 71.786 73.192 74.536 75.799 76.953 77.962 78.787 79.380 79.700 79.721 79.440 78.880 - 55.031 56.556 58.092 59.638 61.191 62.748 64.305 65.860 67.406 68.939 70.450 71.931 73.369 74.749 76.049 77.241 78.290 79.150 79.771 80.107 80.127 79.828 79.238 - 54.919 56.461 58.016 59.581 61.154 62.732 64.311 65.889 67.459 69.018 70.557 72.068 73.539 74.953 76.291 77.523 78.612 79.510 80.162 80.515 80.533 80.215 79.592 - 54.802 56.362 57.935 59.519 61.111 62.710 64.311 65.911 67.505 69.089 70.656 72.197 73.700 75.150 76.526 77.799 78.930 79.867 80.551 80.922 80.939 80.601 79.941 - 54.681 56.258 57.849 59.452 61.063 62.681 64.303 65.926 67.544 69.154 70.748 72.318 73.853 75.339 76.753 78.067 79.241 80.221 80.939 81.329 81.345 80.984 80.286 - 54.554 56.149 57.758 59.379 61.009 62.647 64.290 65.934 67.576 69.210 70.831 72.430 73.998 75.518 76.971 78.328 79.547 80.570 81.326 81.737 81.751 81.364 80.626 - 54.423 56.035 57.661 59.300 60.949 62.607 64.270 65.936 67.600 69.259 70.906 72.535 74.133 75.689 77.181 78.581 79.845 80.915 81.711 82.145 82.157 81.742 80.960 - 54.288 55.917 57.560 59.216 60.884 62.561 64.244 65.931 67.617 69.300 70.973 72.630 74.260 75.850 77.381 78.824 80.137 81.255 82.093 82.553 82.562 82.117 81.286 - 54.148 55.793 57.453 59.127 60.813 62.508 64.211 65.918 67.627 69.334 71.032 72.716 74.377 76.002 77.572 79.059 80.420 81.589 82.474 82.961 82.967 82.488 81.606 - 54.003 55.665 57.342 59.033 60.736 62.450 64.172 65.899 67.630 69.359 71.082 72.794 74.485 76.143 77.752 79.283 80.694 81.917 82.851 83.370 83.371 82.854 81.916 - 53.854 55.532 57.225 58.933 60.654 62.385 64.126 65.874 67.625 69.376 71.124 72.862 74.583 76.275 77.921 79.496 80.958 82.237 83.225 83.778 83.775 83.215 82.217 - 53.701 55.394 57.103 58.828 60.566 62.315 64.074 65.841 67.612 69.386 71.157 72.921 74.670 76.395 78.079 79.699 81.212 82.549 83.596 84.186 84.178 83.570 82.507 - 53.542 55.251 56.977 58.717 60.472 62.239 64.016 65.801 67.593 69.387 71.182 72.971 74.748 76.504 78.226 79.888 81.454 82.852 83.961 84.594 84.579 83.918 82.785 - 53.380 55.104 56.845 58.602 60.373 62.156 63.951 65.755 67.565 69.381 71.197 73.011 74.815 76.602 78.360 80.065 81.683 83.144 84.321 85.002 84.979 84.257 83.049 - 53.213 54.952 56.709 58.481 60.268 62.068 63.880 65.701 67.531 69.366 71.204 73.041 74.872 76.689 78.481 80.229 81.898 83.423 84.673 85.410 85.377 84.586 83.297 - 53.043 54.796 56.567 58.355 60.157 61.974 63.802 65.641 67.489 69.343 71.202 73.062 74.918 76.763 78.589 80.378 82.098 83.689 85.017 85.817 85.773 84.902 83.528 - 52.867 54.635 56.421 58.224 60.042 61.874 63.718 65.574 67.439 69.313 71.191 73.073 74.953 76.826 78.683 80.511 82.282 83.939 85.350 86.223 86.164 85.203 83.740 - 52.687 54.469 56.270 58.088 59.920 61.768 63.628 65.500 67.383 69.274 71.172 73.074 74.977 76.876 78.764 80.629 82.448 84.170 85.670 86.628 86.550 85.485 83.930 - 52.502 54.299 56.114 57.946 59.794 61.656 63.532 65.420 67.319 69.227 71.143 73.065 74.990 76.913 78.830 80.731 82.595 84.381 85.974 87.031 86.929 85.746 84.096 - 52.314 54.125 55.954 57.800 59.662 61.539 63.429 65.332 67.247 69.172 71.106 73.046 74.991 76.938 78.882 80.815 82.723 84.570 86.256 87.430 87.298 85.980 84.236 - 52.121 53.946 55.789 57.649 59.525 61.416 63.321 65.239 67.169 69.109 71.060 73.018 74.982 76.950 78.919 80.882 82.829 84.733 86.513 87.825 87.650 86.182 84.349 - 51.924 53.762 55.619 57.493 59.382 61.287 63.206 65.138 67.083 69.039 71.005 72.980 74.962 76.950 78.941 80.931 82.913 84.868 86.738 88.210 87.978 86.347 84.431 - 51.722 53.575 55.445 57.331 59.234 61.152 63.085 65.031 66.990 68.960 70.941 72.931 74.930 76.936 78.947 80.961 82.973 84.973 86.924 88.578 88.267 86.470 84.483 - 51.517 53.383 55.266 57.165 59.081 61.013 62.958 64.918 66.890 68.874 70.869 72.874 74.888 76.910 78.939 80.973 83.010 85.046 87.062 88.912 88.495 86.546 84.502 - 51.307 53.186 55.082 56.995 58.923 60.867 62.826 64.798 66.783 68.780 70.788 72.806 74.834 76.870 78.915 80.966 83.023 85.085 87.147 89.168 88.630 86.571 84.488 - 51.094 52.987 54.894 56.819 58.760 60.716 62.687 64.671 66.669 68.678 70.698 72.729 74.769 76.818 78.876 80.940 83.012 85.089 87.172 89.259 88.643 86.545 84.441 - 50.876 52.782 54.702 56.639 58.592 60.560 62.543 64.539 66.548 68.568 70.600 72.642 74.693 76.754 78.821 80.896 82.976 85.059 87.137 89.131 88.530 86.468 84.363 - 50.654 52.573 54.505 56.454 58.419 60.399 62.393 64.400 66.420 68.451 70.494 72.546 74.607 76.676 78.752 80.833 82.916 84.994 87.042 88.854 88.317 86.343 84.254 - 50.429 52.359 54.304 56.265 58.241 60.232 62.237 64.255 66.285 68.327 70.379 72.440 74.510 76.587 78.668 80.752 82.832 84.895 86.894 88.509 88.035 86.174 84.116 - 50.201 52.142 54.098 56.071 58.058 60.060 62.075 64.104 66.144 68.195 70.256 72.326 74.403 76.485 78.570 80.653 82.725 84.766 86.699 88.133 87.709 85.968 83.950 - 49.968 51.920 53.888 55.872 57.870 59.883 61.908 63.947 65.996 68.056 70.125 72.202 74.285 76.371 78.457 80.537 82.597 84.607 86.465 87.742 87.356 85.729 83.759 - 49.731 51.695 53.674 55.669 57.678 59.700 61.736 63.784 65.842 67.910 69.987 72.070 74.157 76.246 78.331 80.404 82.448 84.421 86.199 87.340 86.984 85.462 83.545 - 49.490 51.465 53.456 55.461 57.481 59.513 61.558 63.615 65.681 67.757 69.840 71.928 74.019 76.109 78.191 80.255 82.278 84.210 85.907 86.933 86.600 85.172 83.310 - 49.245 51.231 53.234 55.249 57.279 59.321 61.375 63.440 65.514 67.597 69.686 71.779 73.872 75.961 78.039 80.091 82.091 83.978 85.594 86.522 86.206 84.862 83.056 - 48.997 50.994 53.009 55.033 57.072 59.124 61.186 63.259 65.341 67.430 69.524 71.620 73.715 75.802 77.873 79.912 81.885 83.726 85.264 86.109 85.806 84.536 82.784 - 48.744 50.752 52.778 54.813 56.861 58.922 60.993 63.073 65.162 67.257 69.355 71.454 73.549 75.633 77.696 79.718 81.664 83.456 84.919 85.692 85.401 84.196 82.497 - 48.489 50.507 52.543 54.588 56.646 58.715 60.794 62.882 64.977 67.077 69.179 71.280 73.374 75.454 77.507 79.512 81.428 83.171 84.564 85.274 84.992 83.844 82.196 - 48.229 50.260 52.304 54.359 56.426 58.503 60.590 62.685 64.785 66.890 68.995 71.097 73.190 75.264 77.307 79.293 81.177 82.872 84.199 84.855 84.580 83.483 81.883 - 47.966 50.007 52.061 54.125 56.201 58.287 60.381 62.482 64.588 66.697 68.805 70.907 72.997 75.066 77.096 79.062 80.914 82.561 83.826 84.434 84.165 83.113 81.558 - 47.699 49.751 51.814 53.888 55.972 58.066 60.167 62.274 64.386 66.498 68.608 70.710 72.797 74.858 76.875 78.819 80.639 82.239 83.447 84.012 83.748 82.736 81.224 - 47.428 49.491 51.563 53.647 55.739 57.840 59.948 62.062 64.177 66.293 68.404 70.505 72.588 74.641 76.644 78.566 80.353 81.907 83.062 83.589 83.328 82.352 80.880 - 47.154 49.227 51.309 53.401 55.502 57.611 59.725 61.843 63.964 66.082 68.194 70.293 72.371 74.415 76.404 78.303 80.057 81.567 82.672 83.165 82.907 81.963 80.528 - 46.877 48.959 51.050 53.152 55.261 57.376 59.497 61.620 63.744 65.865 67.977 70.074 72.147 74.181 76.154 78.031 79.752 81.219 82.278 82.739 82.484 81.569 80.169 diff --git a/pydarn/radar_fov_files/208_lons.txt b/pydarn/radar_fov_files/208_lons.txt deleted file mode 100644 index 284bafa8a..000000000 --- a/pydarn/radar_fov_files/208_lons.txt +++ /dev/null @@ -1,111 +0,0 @@ - -177.946 -177.942 -177.917 -177.878 -177.827 -177.767 -177.699 -177.623 -177.540 -177.451 -177.357 -177.257 -177.152 -177.042 -176.928 -176.810 -176.688 -176.562 -176.431 -176.296 -176.156 -176.007 -175.844 - -178.703 -178.655 -178.594 -178.524 -178.443 -178.353 -178.255 -178.149 -178.036 -177.915 -177.788 -177.655 -177.517 -177.373 -177.225 -177.072 -176.916 -176.757 -176.594 -176.429 -176.261 -176.091 -175.918 - -179.393 -179.322 -179.239 -179.145 -179.039 -178.924 -178.799 -178.664 -178.521 -178.371 -178.212 -178.046 -177.873 -177.694 -177.510 -177.322 -177.129 -176.933 -176.734 -176.532 -176.329 -176.125 -175.920 - 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131.675 130.893 130.193 129.585 129.085 128.707 128.474 128.412 128.558 128.959 129.674 130.789 132.415 134.705 137.870 142.186 148.002 155.677 165.412 176.919 -170.820 -159.222 -149.350 - 131.010 130.191 129.450 128.800 128.251 127.821 127.531 127.406 127.482 127.805 128.435 129.456 130.982 133.170 136.243 140.501 146.337 154.191 164.358 176.575 -170.322 -158.022 -147.737 - 130.350 129.493 128.712 128.018 127.421 126.939 126.590 126.400 126.404 126.646 127.186 128.108 129.525 131.601 134.564 138.742 144.574 152.589 163.200 176.197 -169.762 -156.698 -145.994 - 129.694 128.799 127.978 127.239 126.594 126.058 125.650 125.394 125.324 125.483 125.930 126.746 128.047 129.997 132.835 136.907 142.706 150.857 161.922 175.777 -169.128 -155.231 -144.110 - 129.043 128.110 127.248 126.465 125.771 125.181 124.713 124.390 124.244 124.317 124.666 125.372 126.549 128.361 131.055 134.997 140.727 148.983 160.507 175.307 -168.404 -153.599 -142.072 - 128.396 127.426 126.523 125.695 124.952 124.307 123.778 123.386 123.163 123.148 123.397 123.987 125.031 126.695 129.226 133.009 138.633 146.951 158.930 174.778 -167.573 -151.779 -139.866 - 127.754 126.746 125.802 124.929 124.136 123.436 122.846 122.385 122.083 121.978 122.122 122.592 123.497 124.999 127.349 130.944 136.417 144.746 157.166 174.174 -166.611 -149.741 -137.481 - 127.117 126.071 125.086 124.167 123.325 122.570 121.917 121.386 121.004 120.806 120.844 121.189 121.946 123.275 125.426 128.802 134.076 142.351 155.179 173.479 -165.486 -147.451 -134.903 - 126.485 125.401 124.374 123.411 122.519 121.708 120.992 120.391 119.927 119.635 119.563 119.778 120.382 121.527 123.459 126.585 131.607 139.750 152.931 172.668 -164.158 -144.869 -132.121 - 125.860 124.736 123.668 122.659 121.717 120.850 120.072 119.398 118.852 118.465 118.281 118.363 118.806 119.757 121.452 124.296 129.008 136.924 150.373 171.706 -162.570 -141.951 -129.125 - 125.237 124.076 122.967 121.913 120.920 119.998 119.156 118.410 117.781 117.297 116.998 116.943 117.220 117.966 119.408 121.937 126.279 133.859 147.445 170.547 -160.643 -138.647 -125.910 - 124.620 123.421 122.271 121.172 120.129 119.150 118.245 117.426 116.713 116.131 115.716 115.521 115.626 116.159 117.330 119.513 123.422 130.542 144.079 169.119 -158.269 -134.905 -122.475 - 124.008 122.771 121.580 120.436 119.343 118.308 117.339 116.447 115.650 114.969 114.435 114.098 114.027 114.338 115.224 117.030 120.443 126.962 140.193 167.314 -155.286 -130.673 -118.825 - 123.401 122.127 120.895 119.705 118.562 117.471 116.438 115.474 114.592 113.811 113.158 112.675 112.425 112.507 113.093 114.496 117.350 123.118 135.701 164.957 -151.459 -125.907 -114.972 - 122.799 121.488 120.215 118.981 117.788 116.640 115.544 114.506 113.539 112.658 111.885 111.256 110.822 110.669 110.943 111.917 114.155 119.015 130.513 161.754 -146.435 -120.583 -110.940 - 122.203 120.855 119.541 118.262 117.019 115.816 114.655 113.545 112.492 111.510 110.617 109.840 109.220 108.827 108.780 109.303 110.871 114.671 124.557 157.170 -139.686 -114.709 -106.760 - 121.612 120.227 118.873 117.549 116.257 114.997 113.774 112.590 111.453 110.370 109.356 108.429 107.622 106.986 106.609 106.664 107.517 110.117 117.802 150.164 -130.485 -108.341 -102.471 - 121.026 119.605 118.210 116.842 115.500 114.185 112.899 111.642 110.420 109.237 108.101 107.026 106.030 105.147 104.436 104.009 104.112 105.395 110.293 138.606 -118.045 -101.593 -98.122 - 120.446 118.988 117.554 116.141 114.750 113.380 112.031 110.702 109.395 108.112 106.855 105.630 104.446 103.316 102.267 101.351 100.680 100.561 102.189 118.605 -102.204 -94.636 -93.762 - 119.871 118.379 116.903 115.447 114.007 112.582 111.170 109.769 108.378 106.995 105.618 104.245 102.872 101.495 100.107 98.698 97.243 95.678 93.758 88.472 -84.562 -87.672 -89.445 - 119.302 117.774 116.258 114.758 113.270 111.791 110.317 108.845 107.370 105.888 104.392 102.870 101.310 99.687 97.963 96.063 93.825 90.816 85.348 59.718 -68.134 -80.907 -85.219 - 118.738 117.174 115.619 114.076 112.540 111.007 109.471 107.928 106.371 104.791 103.176 101.508 99.762 97.896 95.839 93.455 90.449 86.040 77.297 41.540 -54.945 -74.512 -81.128 - 118.180 116.580 114.987 113.401 111.817 110.230 108.634 107.021 105.382 103.705 101.972 100.160 98.231 96.125 93.741 90.883 87.135 81.410 69.865 31.018 -45.119 -68.607 -77.207 - 117.629 115.992 114.360 112.732 111.101 109.461 107.804 106.122 104.402 102.629 100.781 98.826 96.717 94.376 91.673 88.357 83.903 76.975 63.195 24.551 -37.921 -63.251 -73.481 - 117.083 115.409 113.740 112.070 110.392 108.699 106.983 105.232 103.432 101.565 99.603 97.508 95.222 92.652 89.639 85.885 80.768 72.769 57.323 20.264 -32.586 -58.455 -69.967 - 116.542 114.833 113.126 111.414 109.690 107.945 106.170 104.352 102.473 100.513 98.439 96.206 93.748 90.955 87.644 83.472 77.743 68.815 52.213 17.236 -28.545 -54.195 -66.673 - 116.006 114.262 112.518 110.765 108.995 107.199 105.366 103.481 101.525 99.473 97.289 94.922 92.296 89.287 85.689 81.125 74.837 65.124 47.788 14.989 -25.412 -50.430 -63.601 - 115.476 113.697 111.916 110.122 108.307 106.461 104.570 102.620 100.587 98.445 96.154 93.656 90.867 87.650 83.780 78.847 72.056 61.696 43.959 13.255 -22.931 -47.108 -60.747 - 114.951 113.138 111.323 109.486 107.627 105.731 103.784 101.768 99.661 97.431 95.035 92.409 89.462 86.045 81.916 76.643 69.404 58.525 40.640 11.874 -20.929 -44.176 -58.101 - 114.432 112.585 110.733 108.857 106.954 105.008 103.006 100.927 98.746 96.430 93.931 91.182 88.082 84.474 80.101 74.513 66.882 55.599 37.750 10.747 -19.285 -41.584 -55.654 - 113.919 112.038 110.150 108.235 106.288 104.294 102.237 100.096 97.843 95.442 92.844 89.974 86.727 82.937 78.335 72.460 64.489 52.903 35.221 9.807 -17.916 -39.288 -53.394 - 113.411 111.499 109.573 107.620 105.630 103.588 101.477 99.274 96.951 94.468 91.773 88.787 85.399 81.436 76.619 70.485 62.221 50.419 32.996 9.009 -16.763 -37.247 -51.307 - 112.909 110.964 109.003 107.011 104.979 102.890 100.726 98.464 96.071 93.508 90.718 87.620 84.097 79.970 74.954 68.585 60.076 48.132 31.028 8.322 -15.781 -35.428 -49.380 - 112.412 110.435 108.438 106.409 104.335 102.200 99.985 97.663 95.204 92.562 89.681 86.475 82.823 78.540 73.341 66.762 58.049 46.024 29.276 7.722 -14.937 -33.800 -47.601 - 111.921 109.912 107.880 105.814 103.699 101.519 99.252 96.873 94.348 91.631 88.661 85.350 81.575 77.147 71.778 65.013 56.133 44.079 27.709 7.192 -14.206 -32.338 -45.957 - 111.436 109.394 107.328 105.226 103.071 100.845 98.529 96.093 93.504 90.713 87.657 84.247 80.355 75.790 70.265 63.336 54.324 42.282 26.299 6.720 -13.568 -31.022 -44.436 - 110.955 108.883 106.782 104.644 102.449 100.180 97.815 95.324 92.672 89.810 86.671 83.165 79.162 74.469 68.802 61.729 52.615 40.619 25.025 6.295 -13.008 -29.833 -43.030 diff --git a/pydarn/radar_fov_files/209_lats.txt b/pydarn/radar_fov_files/209_lats.txt deleted file mode 100644 index d1b64b669..000000000 --- a/pydarn/radar_fov_files/209_lats.txt +++ /dev/null @@ -1,111 +0,0 @@ - 52.479 52.507 52.519 52.518 52.508 52.491 52.467 52.438 52.403 52.362 52.317 52.268 52.214 52.156 52.094 52.028 51.958 51.884 51.805 51.721 51.630 51.531 51.418 - 53.024 53.021 53.010 52.991 52.965 52.932 52.892 52.847 52.796 52.740 52.679 52.612 52.541 52.466 52.387 52.303 52.216 52.125 52.031 51.933 51.832 51.727 51.618 - 53.504 53.489 53.466 53.435 53.396 53.351 53.298 53.238 53.172 53.100 53.021 52.938 52.849 52.756 52.658 52.556 52.450 52.341 52.227 52.111 51.992 51.869 51.744 - 53.944 53.921 53.889 53.849 53.799 53.742 53.676 53.603 53.523 53.435 53.341 53.241 53.135 53.022 52.905 52.784 52.658 52.528 52.395 52.258 52.118 51.976 51.831 - 54.368 54.338 54.299 54.249 54.189 54.120 54.042 53.956 53.861 53.758 53.648 53.530 53.406 53.276 53.140 52.997 52.851 52.701 52.546 52.388 52.228 52.064 51.899 - 54.783 54.747 54.700 54.641 54.571 54.491 54.401 54.301 54.191 54.073 53.946 53.811 53.668 53.519 53.364 53.202 53.034 52.863 52.687 52.508 52.326 52.141 51.954 - 55.194 55.151 55.096 55.028 54.949 54.857 54.754 54.640 54.516 54.381 54.238 54.085 53.925 53.756 53.581 53.399 53.211 53.018 52.821 52.620 52.416 52.209 52.000 - 55.600 55.551 55.489 55.412 55.322 55.219 55.103 54.975 54.836 54.686 54.525 54.355 54.175 53.988 53.792 53.590 53.381 53.167 52.948 52.725 52.499 52.270 52.039 - 56.004 55.949 55.879 55.793 55.693 55.578 55.449 55.307 55.153 54.986 54.808 54.620 54.422 54.215 53.999 53.776 53.546 53.310 53.069 52.824 52.576 52.325 52.072 - 56.406 56.345 56.267 56.172 56.061 55.934 55.792 55.636 55.466 55.283 55.088 54.882 54.664 54.437 54.201 53.957 53.706 53.449 53.186 52.918 52.648 52.375 52.099 - 56.806 56.739 56.653 56.549 56.427 56.289 56.134 55.963 55.777 55.578 55.365 55.140 54.903 54.656 54.399 54.134 53.861 53.582 53.297 53.007 52.715 52.419 52.122 - 57.090 57.020 56.930 56.820 56.691 56.543 56.378 56.196 55.997 55.784 55.556 55.314 55.061 54.796 54.521 54.236 53.944 53.644 53.339 53.028 52.713 52.396 52.076 - 57.315 57.245 57.153 57.039 56.904 56.749 56.575 56.382 56.172 55.945 55.703 55.447 55.177 54.895 54.602 54.299 53.987 53.667 53.341 53.008 52.672 52.332 51.990 - 57.503 57.436 57.343 57.227 57.088 56.927 56.744 56.542 56.320 56.081 55.826 55.554 55.268 54.970 54.659 54.337 54.006 53.666 53.319 52.965 52.606 52.243 51.877 - 57.658 57.595 57.504 57.387 57.245 57.078 56.889 56.677 56.446 56.195 55.926 55.640 55.339 55.023 54.695 54.355 54.004 53.644 53.276 52.899 52.518 52.131 51.740 - 57.908 57.845 57.752 57.630 57.481 57.307 57.107 56.885 56.641 56.376 56.092 55.790 55.472 55.139 54.792 54.432 54.062 53.682 53.292 52.894 52.491 52.082 51.667 - 58.342 58.270 58.166 58.032 57.870 57.681 57.467 57.229 56.967 56.685 56.382 56.061 55.723 55.370 55.003 54.623 54.232 53.831 53.421 53.003 52.579 52.151 51.718 - 58.770 58.688 58.573 58.428 58.253 58.050 57.821 57.566 57.287 56.987 56.666 56.325 55.968 55.594 55.206 54.805 54.393 53.971 53.541 53.103 52.659 52.210 51.758 - 59.192 59.100 58.975 58.818 58.631 58.414 58.169 57.898 57.602 57.283 56.943 56.583 56.205 55.811 55.402 54.981 54.547 54.104 53.653 53.194 52.729 52.261 51.789 - 59.609 59.509 59.373 59.205 59.004 58.772 58.512 58.224 57.911 57.574 57.215 56.835 56.437 56.022 55.592 55.149 54.695 54.230 53.758 53.278 52.792 52.304 51.812 - 60.023 59.913 59.768 59.587 59.373 59.127 58.851 58.547 58.216 57.860 57.481 57.082 56.663 56.227 55.776 55.312 54.836 54.350 53.856 53.355 52.849 52.340 51.828 - 60.433 60.315 60.159 59.966 59.739 59.478 59.186 58.865 58.516 58.141 57.743 57.323 56.884 56.427 55.955 55.469 54.971 54.463 53.948 53.426 52.899 52.369 51.837 - 60.841 60.714 60.547 60.342 60.102 59.826 59.518 59.179 58.812 58.418 58.000 57.560 57.100 56.621 56.127 55.620 55.100 54.571 54.034 53.491 52.942 52.392 51.840 - 61.246 61.110 60.933 60.716 60.461 60.171 59.846 59.490 59.104 58.691 58.253 57.792 57.311 56.811 56.295 55.765 55.224 54.673 54.114 53.550 52.980 52.409 51.837 - 61.649 61.504 61.316 61.087 60.818 60.512 60.171 59.797 59.393 58.960 58.501 58.020 57.517 56.995 56.458 55.906 55.343 54.770 54.189 53.603 53.012 52.421 51.828 - 62.050 61.896 61.697 61.455 61.173 60.851 60.493 60.101 59.678 59.225 58.746 58.243 57.718 57.175 56.615 56.042 55.456 54.861 54.259 53.651 53.039 52.427 51.814 - 62.450 62.287 62.077 61.822 61.525 61.187 60.812 60.402 59.959 59.486 58.986 58.462 57.915 57.350 56.768 56.172 55.565 54.948 54.323 53.694 53.061 52.427 51.795 - 62.848 62.675 62.454 62.186 61.875 61.521 61.128 60.699 60.237 59.743 59.222 58.676 58.108 57.521 56.916 56.298 55.668 55.029 54.383 53.732 53.077 52.423 51.770 - 63.245 63.063 62.830 62.549 62.222 61.852 61.442 60.994 60.511 59.997 59.455 58.887 58.296 57.687 57.060 56.419 55.767 55.105 54.437 53.765 53.089 52.414 51.740 - 63.641 63.449 63.204 62.910 62.567 62.181 61.752 61.285 60.782 60.247 59.683 59.093 58.480 57.848 57.199 56.535 55.860 55.177 54.487 53.792 53.096 52.400 51.706 - 64.036 63.833 63.577 63.268 62.911 62.507 62.060 61.573 61.049 60.493 59.907 59.295 58.660 58.005 57.333 56.647 55.949 55.243 54.531 53.816 53.098 52.381 51.667 - 64.429 64.217 63.948 63.625 63.252 62.830 62.364 61.858 61.313 60.736 60.128 59.493 58.835 58.157 57.462 56.754 56.034 55.305 54.571 53.834 53.095 52.358 51.623 - 64.822 64.599 64.318 63.981 63.591 63.151 62.666 62.139 61.574 60.974 60.344 59.687 59.006 58.305 57.587 56.856 56.113 55.363 54.607 53.848 53.088 52.330 51.575 - 65.214 64.980 64.686 64.334 63.928 63.470 62.965 62.418 61.831 61.209 60.557 59.876 59.173 58.449 57.708 56.953 56.188 55.415 54.637 53.857 53.076 52.297 51.523 - 65.605 65.360 65.053 64.686 64.262 63.786 63.262 62.693 62.085 61.441 60.765 60.062 59.335 58.587 57.824 57.046 56.258 55.463 54.663 53.861 53.059 52.260 51.465 - 65.995 65.740 65.419 65.036 64.595 64.100 63.555 62.965 62.335 61.668 60.969 60.243 59.492 58.722 57.935 57.134 56.324 55.506 54.685 53.861 53.038 52.219 51.404 - 66.384 66.118 65.783 65.384 64.925 64.411 63.846 63.234 62.581 61.892 61.170 60.420 59.646 58.852 58.041 57.218 56.385 55.545 54.701 53.856 53.013 52.173 51.338 - 66.773 66.494 66.146 65.731 65.254 64.720 64.133 63.500 62.824 62.111 61.366 60.592 59.795 58.977 58.143 57.297 56.441 55.579 54.714 53.847 52.983 52.122 51.268 - 67.161 66.870 66.507 66.075 65.580 65.026 64.418 63.762 63.064 62.327 61.558 60.760 59.939 59.098 58.241 57.371 56.493 55.609 54.721 53.834 52.949 52.068 51.194 - 67.548 67.245 66.867 66.418 65.904 65.329 64.699 64.021 63.299 62.539 61.746 60.924 60.079 59.214 58.333 57.441 56.540 55.633 54.724 53.816 52.910 52.009 51.116 - 67.935 67.619 67.226 66.759 66.225 65.629 64.978 64.276 63.531 62.746 61.929 61.083 60.214 59.325 58.421 57.506 56.582 55.654 54.723 53.793 52.867 51.946 51.034 - 68.321 67.992 67.583 67.099 66.544 65.927 65.253 64.528 63.758 62.950 62.108 61.238 60.345 59.432 58.505 57.566 56.620 55.669 54.717 53.766 52.820 51.879 50.947 - 68.706 68.364 67.939 67.436 66.861 66.222 65.525 64.776 63.982 63.149 62.283 61.388 60.471 59.534 58.583 57.622 56.653 55.680 54.707 53.735 52.768 51.808 50.856 - 69.091 68.735 68.293 67.771 67.175 66.514 65.793 65.020 64.202 63.344 62.453 61.534 60.592 59.632 58.657 57.673 56.682 55.687 54.692 53.700 52.712 51.732 50.762 - 69.475 69.105 68.646 68.104 67.487 66.803 66.058 65.260 64.417 63.534 62.618 61.675 60.708 59.724 58.727 57.719 56.705 55.689 54.673 53.660 52.652 51.653 50.663 - 69.858 69.474 68.997 68.435 67.796 67.088 66.319 65.497 64.628 63.720 62.779 61.811 60.820 59.812 58.791 57.761 56.725 55.687 54.649 53.615 52.588 51.569 50.561 - 70.241 69.841 69.346 68.764 68.102 67.371 66.577 65.729 64.835 63.902 62.936 61.942 60.927 59.895 58.850 57.797 56.739 55.679 54.621 53.567 52.520 51.481 50.454 - 70.623 70.207 69.694 69.090 68.406 67.650 66.831 65.958 65.038 64.079 63.087 62.069 61.029 59.973 58.905 57.829 56.749 55.668 54.589 53.514 52.447 51.390 50.344 - 71.004 70.572 70.039 69.414 68.706 67.925 67.081 66.182 65.236 64.251 63.234 62.190 61.126 60.046 58.955 57.857 56.754 55.652 54.552 53.457 52.370 51.294 50.231 - 71.385 70.936 70.383 69.735 69.003 68.197 67.327 66.401 65.429 64.418 63.375 62.307 61.218 60.115 59.000 57.879 56.755 55.631 54.510 53.396 52.290 51.194 50.113 - 71.765 71.299 70.725 70.054 69.297 68.465 67.568 66.616 65.618 64.581 63.512 62.419 61.306 60.178 59.040 57.897 56.751 55.606 54.464 53.330 52.205 51.091 49.991 - 72.144 71.660 71.065 70.371 69.588 68.730 67.806 66.827 65.802 64.738 63.644 62.525 61.388 60.236 59.076 57.910 56.742 55.576 54.414 53.260 52.116 50.983 49.865 - 72.522 72.020 71.403 70.684 69.876 68.990 68.039 67.033 65.980 64.891 63.770 62.627 61.465 60.290 59.106 57.918 56.729 55.542 54.360 53.186 52.023 50.872 49.736 - 72.899 72.378 71.738 70.994 70.159 69.247 68.268 67.234 66.154 65.038 63.892 62.723 61.536 60.338 59.131 57.921 56.710 55.503 54.301 53.108 51.926 50.756 49.603 - 73.276 72.734 72.071 71.301 70.439 69.499 68.492 67.430 66.323 65.180 64.008 62.814 61.603 60.381 59.152 57.920 56.688 55.460 54.238 53.026 51.825 50.637 49.467 - 73.651 73.089 72.402 71.605 70.715 69.746 68.711 67.621 66.486 65.316 64.119 62.899 61.664 60.419 59.167 57.913 56.660 55.412 54.171 52.939 51.720 50.514 49.326 - 74.026 73.442 72.729 71.906 70.987 69.989 68.925 67.807 66.645 65.448 64.224 62.980 61.721 60.452 59.178 57.902 56.628 55.360 54.099 52.849 51.611 50.387 49.182 - 74.399 73.792 73.054 72.203 71.255 70.227 69.134 67.987 66.797 65.573 64.324 63.054 61.771 60.480 59.183 57.886 56.592 55.303 54.023 52.754 51.498 50.257 49.035 - 74.771 74.141 73.376 72.496 71.518 70.461 69.338 68.162 66.944 65.694 64.418 63.124 61.817 60.502 59.184 57.865 56.550 55.242 53.943 52.655 51.381 50.123 48.883 - 75.142 74.488 73.695 72.785 71.777 70.689 69.536 68.331 67.085 65.808 64.507 63.188 61.857 60.520 59.179 57.840 56.505 55.176 53.858 52.552 51.260 49.985 48.729 - 75.511 74.832 74.011 73.070 72.031 70.912 69.729 68.495 67.221 65.917 64.589 63.246 61.892 60.532 59.170 57.809 56.454 55.106 53.769 52.445 51.135 49.844 48.570 - 75.879 75.173 74.322 73.350 72.280 71.129 69.916 68.652 67.351 66.019 64.667 63.299 61.921 60.539 59.155 57.774 56.399 55.032 53.676 52.334 51.007 49.698 48.409 - 76.246 75.512 74.631 73.626 72.523 71.341 70.097 68.804 67.474 66.116 64.738 63.346 61.945 60.540 59.136 57.734 56.339 54.953 53.579 52.219 50.875 49.549 48.243 - 76.610 75.848 74.935 73.897 72.761 71.547 70.272 68.950 67.592 66.207 64.804 63.387 61.964 60.537 59.111 57.689 56.275 54.870 53.478 52.100 50.739 49.397 48.074 - 76.973 76.181 75.234 74.163 72.994 71.747 70.441 69.089 67.703 66.292 64.863 63.423 61.977 60.528 59.082 57.640 56.206 54.783 53.372 51.977 50.599 49.240 47.902 - 77.334 76.510 75.530 74.424 73.220 71.940 70.603 69.221 67.808 66.370 64.917 63.453 61.984 60.514 59.047 57.585 56.133 54.691 53.263 51.851 50.455 49.080 47.727 - 77.692 76.836 75.820 74.679 73.440 72.127 70.758 69.348 67.906 66.443 64.964 63.477 61.986 60.495 59.007 57.526 56.055 54.595 53.149 51.720 50.308 48.917 47.547 - 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63.813 63.828 63.791 63.705 63.570 63.388 63.162 62.893 62.585 62.239 61.859 61.446 61.005 60.538 60.047 59.536 59.006 - 64.247 64.259 64.217 64.122 63.977 63.782 63.541 63.256 62.928 62.562 62.160 61.725 61.261 60.770 60.255 59.719 59.165 - 64.677 64.686 64.638 64.536 64.380 64.172 63.916 63.613 63.267 62.880 62.456 61.998 61.510 60.994 60.454 59.893 59.315 - 65.104 65.110 65.057 64.946 64.779 64.559 64.287 63.966 63.600 63.192 62.746 62.264 61.752 61.211 60.646 60.060 59.457 - 65.528 65.531 65.473 65.354 65.176 64.942 64.653 64.315 63.929 63.499 63.030 62.525 61.988 61.422 60.832 60.220 59.591 - 65.950 65.950 65.886 65.759 65.570 65.321 65.017 64.660 64.254 63.802 63.310 62.780 62.218 61.627 61.011 60.373 59.719 - 66.369 66.367 66.298 66.162 65.961 65.698 65.377 65.001 64.574 64.100 63.584 63.030 62.442 61.825 61.183 60.520 59.839 - 66.787 66.783 66.707 66.562 66.350 66.073 65.735 65.339 64.891 64.394 63.853 63.274 62.661 62.018 61.349 60.660 59.953 - 67.202 67.196 67.115 66.961 66.737 66.445 66.089 65.673 65.203 64.683 64.118 63.513 62.874 62.204 61.509 60.794 60.061 - 67.617 67.608 67.522 67.359 67.122 66.814 66.440 66.004 65.512 64.968 64.378 63.748 63.082 62.385 61.664 60.921 60.162 - 68.030 68.020 67.927 67.755 67.505 67.181 66.789 66.332 65.817 65.249 64.633 63.977 63.284 62.561 61.812 61.042 60.257 - 68.443 68.430 68.331 68.149 67.886 67.546 67.135 66.657 66.118 65.525 64.884 64.201 63.481 62.730 61.954 61.158 60.346 - 68.854 68.839 68.734 68.542 68.265 67.909 67.478 66.978 66.416 65.797 65.130 64.419 63.672 62.894 62.091 61.267 60.429 - 69.264 69.247 69.136 68.934 68.643 68.269 67.818 67.296 66.709 66.065 65.371 64.633 63.858 63.053 62.222 61.371 60.505 - 69.674 69.655 69.537 69.324 69.019 68.628 68.156 67.610 66.999 66.329 65.607 64.842 64.039 63.205 62.347 61.469 60.576 - 70.083 70.062 69.938 69.714 69.394 68.984 68.491 67.922 67.285 66.588 65.839 65.045 64.214 63.352 62.466 61.560 60.641 - 70.491 70.468 70.337 70.102 69.767 69.338 68.823 68.229 67.567 66.842 66.065 65.243 64.384 63.494 62.579 61.646 60.700 - 70.899 70.874 70.736 70.489 70.138 69.689 69.152 68.534 67.844 67.092 66.287 65.436 64.548 63.629 62.687 61.726 60.754 - 71.307 71.279 71.134 70.875 70.507 70.039 69.478 68.834 68.118 67.338 66.504 65.624 64.706 63.759 62.788 61.801 60.801 - 71.714 71.684 71.531 71.260 70.875 70.386 69.801 69.132 68.387 67.578 66.715 65.806 64.859 63.883 62.884 61.869 60.843 - 72.121 72.089 71.928 71.643 71.241 70.730 70.121 69.425 68.652 67.814 66.921 65.982 65.006 64.001 62.974 61.931 60.878 - 72.527 72.493 72.324 72.026 71.606 71.072 70.438 69.714 68.913 68.045 67.122 66.153 65.148 64.114 63.058 61.988 60.908 - 72.933 72.897 72.720 72.408 71.968 71.412 70.752 70.000 69.169 68.271 67.317 66.318 65.283 64.220 63.137 62.039 60.932 - 73.339 73.300 73.115 72.788 72.329 71.749 71.062 70.281 69.420 68.491 67.507 66.478 65.413 64.321 63.209 62.084 60.951 - 73.745 73.704 73.509 73.167 72.687 72.083 71.368 70.558 69.666 68.706 67.691 66.631 65.537 64.415 63.275 62.122 60.963 - 74.151 74.107 73.903 73.545 73.044 72.414 71.671 70.830 69.907 68.916 67.870 66.779 65.654 64.504 63.335 62.155 60.970 - 74.556 74.510 74.296 73.921 73.398 72.742 71.970 71.098 70.143 69.120 68.042 66.920 65.766 64.586 63.389 62.183 60.971 - 74.961 74.913 74.689 74.297 73.751 73.067 72.264 71.361 70.374 69.318 68.209 67.056 65.871 64.662 63.437 62.204 60.967 - 75.367 75.316 75.081 74.671 74.100 73.389 72.555 71.619 70.599 69.511 68.369 67.185 65.970 64.732 63.479 62.219 60.956 - 75.772 75.719 75.472 75.043 74.448 73.706 72.841 71.872 70.818 69.697 68.523 67.308 66.062 64.796 63.515 62.228 60.940 - 76.177 76.121 75.863 75.414 74.792 74.021 73.122 72.119 71.032 69.877 68.670 67.424 66.148 64.853 63.545 62.232 60.918 - 76.582 76.524 76.253 75.783 75.134 74.331 73.399 72.361 71.239 70.051 68.811 67.533 66.228 64.904 63.569 62.229 60.890 - 76.987 76.926 76.642 76.150 75.473 74.637 73.670 72.597 71.440 70.218 68.946 67.636 66.301 64.949 63.586 62.220 60.857 - 77.392 77.328 77.030 76.515 75.808 74.939 73.936 72.827 71.635 70.378 69.073 67.733 66.368 64.987 63.597 62.206 60.818 - 77.797 77.730 77.418 76.878 76.140 75.236 74.197 73.051 71.823 70.532 69.194 67.822 66.428 65.019 63.602 62.186 60.773 - 78.203 78.132 77.804 77.239 76.469 75.528 74.451 73.268 72.004 70.678 69.308 67.905 66.481 65.044 63.601 62.159 60.723 - 78.608 78.534 78.190 77.598 76.793 75.815 74.700 73.479 72.178 70.817 69.414 67.980 66.527 65.063 63.594 62.127 60.667 - 79.013 78.936 78.574 77.953 77.113 76.096 74.942 73.682 72.344 70.949 69.513 68.049 66.567 65.075 63.580 62.089 60.605 - 79.418 79.338 78.957 78.306 77.429 76.372 75.177 73.878 72.503 71.074 69.605 68.110 66.599 65.081 63.561 62.045 60.538 - 79.823 79.740 79.339 78.656 77.739 76.641 75.404 74.067 72.655 71.190 69.689 68.164 66.625 65.080 63.535 61.995 60.465 - 80.229 80.142 79.719 79.002 78.044 76.903 75.625 74.247 72.798 71.299 69.766 68.211 66.644 65.073 63.502 61.939 60.387 - 80.634 80.543 80.098 79.344 78.344 77.158 75.837 74.419 72.933 71.400 69.835 68.251 66.656 65.059 63.464 61.878 60.303 - 81.040 80.944 80.474 79.682 78.637 77.406 76.042 74.583 73.060 71.493 69.897 68.283 66.661 65.038 63.420 61.810 60.214 - 81.445 81.345 80.848 80.015 78.924 77.646 76.237 74.739 73.179 71.577 69.950 68.308 66.660 65.011 63.369 61.737 60.120 - 81.851 81.746 81.220 80.343 79.203 77.877 76.424 74.885 73.288 71.654 69.996 68.325 66.651 64.978 63.312 61.658 60.019 - 82.256 82.147 81.589 80.665 79.474 78.099 76.601 75.022 73.389 71.721 70.033 68.335 66.635 64.938 63.249 61.573 59.914 - 82.662 82.547 81.955 80.981 79.737 78.312 76.769 75.149 73.480 71.780 70.063 68.338 66.612 64.891 63.180 61.483 59.803 - 83.067 82.947 82.317 81.290 79.991 78.515 76.927 75.267 73.562 71.831 70.085 68.333 66.582 64.838 63.105 61.387 59.687 - 83.472 83.346 82.674 81.591 80.234 78.707 77.074 75.375 73.635 71.872 70.098 68.320 66.545 64.779 63.024 61.286 59.566 - 83.877 83.744 83.027 81.883 80.467 78.888 77.210 75.472 73.698 71.905 70.103 68.300 66.501 64.713 62.937 61.178 59.440 - 84.282 84.141 83.374 82.165 80.689 79.057 77.335 75.559 73.752 71.929 70.100 68.272 66.451 64.640 62.844 61.066 59.308 - 84.687 84.537 83.714 82.436 80.898 79.214 77.448 75.635 73.796 71.944 70.089 68.237 66.393 64.561 62.745 60.948 59.171 - 85.091 84.932 84.046 82.695 81.094 79.358 77.549 75.700 73.829 71.950 70.070 68.194 66.329 64.476 62.641 60.824 59.030 - 85.494 85.324 84.368 82.941 81.275 79.488 77.638 75.754 73.853 71.947 70.042 68.144 66.257 64.385 62.530 60.695 58.883 - 85.896 85.714 84.679 83.171 81.441 79.605 77.714 75.797 73.867 71.935 70.006 68.086 66.179 64.287 62.414 60.561 58.731 - 86.296 86.101 84.976 83.384 81.591 79.707 77.778 75.828 73.870 71.913 69.962 68.021 66.094 64.183 62.292 60.421 58.574 - 86.695 86.482 85.257 83.579 81.724 79.794 77.828 75.848 73.864 71.883 69.910 67.949 66.003 64.074 62.164 60.277 58.413 - 87.090 86.857 85.519 83.754 81.840 79.865 77.865 75.856 73.847 71.844 69.850 67.869 65.904 63.958 62.031 60.127 58.247 diff --git a/pydarn/radar_fov_files/512_lons.txt b/pydarn/radar_fov_files/512_lons.txt deleted file mode 100644 index dfa786a73..000000000 --- a/pydarn/radar_fov_files/512_lons.txt +++ /dev/null @@ -1,76 +0,0 @@ - 57.999 58.194 58.377 58.552 58.719 58.880 59.033 59.179 59.317 59.446 59.567 59.677 59.776 59.864 59.937 59.994 60.031 - 58.139 58.366 58.588 58.805 59.017 59.223 59.421 59.612 59.794 59.967 60.129 60.280 60.418 60.544 60.655 60.752 60.832 - 58.228 58.502 58.772 59.038 59.299 59.552 59.799 60.036 60.263 60.479 60.680 60.870 61.046 61.206 61.351 61.478 61.587 - 58.274 58.599 58.921 59.239 59.551 59.856 60.151 60.436 60.709 60.968 61.213 61.442 61.654 61.845 62.020 62.175 62.308 - 58.301 58.680 59.057 59.429 59.794 60.150 60.496 60.829 61.148 61.452 61.738 62.006 62.253 62.479 62.683 62.862 63.018 - 58.318 58.753 59.186 59.613 60.032 60.442 60.839 61.222 61.588 61.936 62.264 62.570 62.852 63.110 63.343 63.548 63.725 - 58.328 58.821 59.311 59.795 60.271 60.735 61.184 61.617 62.031 62.424 62.793 63.138 63.455 63.745 64.005 64.235 64.433 - 58.334 58.886 59.436 59.978 60.511 61.030 61.533 62.017 62.479 62.917 63.328 63.711 64.063 64.383 64.671 64.924 65.142 - 58.336 58.950 59.560 60.162 60.753 61.329 61.887 62.423 62.934 63.417 63.870 64.291 64.678 65.028 65.342 65.618 65.854 - 58.335 59.012 59.684 60.348 60.999 61.634 62.247 62.835 63.396 63.925 64.420 64.879 65.300 65.680 66.020 66.317 66.571 - 58.333 59.074 59.810 60.537 61.250 61.943 62.613 63.255 63.866 64.441 64.978 65.475 65.929 66.339 66.704 67.021 67.292 - 58.228 59.029 59.824 60.609 61.378 62.125 62.845 63.535 64.189 64.805 65.378 65.907 66.389 66.822 67.205 67.537 67.817 - 58.057 58.918 59.772 60.614 61.438 62.237 63.007 63.742 64.438 65.092 65.699 66.257 66.763 67.217 67.615 67.958 68.244 - 57.844 58.765 59.678 60.577 61.455 62.307 63.125 63.905 64.643 65.333 65.973 66.559 67.089 67.560 67.971 68.322 68.612 - 57.590 58.573 59.546 60.502 61.435 62.338 63.205 64.030 64.808 65.534 66.205 66.817 67.368 67.856 68.278 68.635 68.924 - 57.441 58.487 59.523 60.540 61.531 62.490 63.409 64.282 65.104 65.870 66.575 67.217 67.793 68.300 68.737 69.103 69.397 - 57.497 58.611 59.715 60.799 61.856 62.878 63.856 64.785 65.657 66.469 67.216 67.894 68.501 69.035 69.494 69.878 70.186 - 57.544 58.729 59.904 61.058 62.182 63.268 64.307 65.292 66.216 67.074 67.862 68.575 69.213 69.772 70.252 70.653 70.973 - 57.585 58.844 60.091 61.317 62.511 63.662 64.763 65.805 66.781 67.685 68.514 69.263 69.930 70.514 71.013 71.429 71.760 - 57.620 58.955 60.278 61.578 62.843 64.062 65.226 66.325 67.353 68.304 69.173 69.957 70.653 71.260 71.778 72.207 72.547 - 57.651 59.064 60.466 61.842 63.180 64.468 65.696 66.854 67.934 68.932 69.841 70.658 71.382 72.011 72.546 72.987 73.336 - 57.677 59.172 60.654 62.109 63.522 64.881 66.174 67.391 68.525 69.569 70.517 71.368 72.119 72.769 73.320 73.771 74.126 - 57.700 59.279 60.844 62.380 63.870 65.301 66.661 67.939 69.126 70.216 71.204 72.087 72.863 73.533 74.098 74.559 74.919 - 57.720 59.386 61.037 62.656 64.226 65.731 67.159 68.497 69.738 70.873 71.900 72.814 73.616 74.305 74.882 75.351 75.714 - 57.736 59.492 61.232 62.937 64.589 66.170 67.666 69.067 70.361 71.542 72.607 73.552 74.377 75.083 75.672 76.147 76.512 - 57.750 59.599 61.431 63.225 64.960 66.619 68.186 69.648 70.996 72.223 73.325 74.300 75.147 75.869 76.468 76.948 77.313 - 57.761 59.706 61.634 63.519 65.341 67.079 68.717 70.242 71.644 72.917 74.055 75.058 75.926 76.663 77.270 77.753 78.116 - 57.769 59.815 61.841 63.821 65.731 67.550 69.261 70.850 72.306 73.623 74.797 75.827 76.715 77.464 78.078 78.562 78.922 - 57.775 59.925 62.052 64.130 66.131 68.034 69.818 71.471 72.981 74.342 75.550 76.607 77.513 78.273 78.892 79.376 79.732 - 57.778 60.036 62.269 64.447 66.543 68.530 70.390 72.107 73.671 75.075 76.317 77.398 78.320 79.090 79.712 80.194 80.544 - 57.780 60.149 62.491 64.774 66.966 69.040 70.976 72.758 74.375 75.822 77.096 78.200 79.137 79.914 80.538 81.017 81.359 - 57.778 60.264 62.720 65.110 67.401 69.565 71.578 73.425 75.096 76.584 77.889 79.014 79.964 80.747 81.371 81.844 82.177 - 57.775 60.381 62.955 65.457 67.850 70.105 72.197 74.109 75.832 77.360 78.695 79.839 80.801 81.588 82.209 82.675 82.997 - 57.769 60.500 63.197 65.814 68.313 70.660 72.832 74.810 76.584 78.152 79.514 80.677 81.647 82.436 83.053 83.511 83.819 - 57.761 60.623 63.446 66.183 68.790 71.233 73.485 75.528 77.354 78.959 80.348 81.526 82.504 83.292 83.903 84.350 84.644 - 57.750 60.748 63.704 66.565 69.284 71.823 74.156 76.265 78.141 79.783 81.195 82.387 83.370 84.156 84.759 85.193 85.471 - 57.737 60.877 63.970 66.960 69.794 72.432 74.847 77.021 78.946 80.622 82.057 83.260 84.245 85.027 85.620 86.040 86.300 - 57.721 61.009 64.246 67.368 70.321 73.061 75.559 77.797 79.770 81.479 82.933 84.145 85.130 85.905 86.486 86.890 87.130 - 57.702 61.145 64.532 67.792 70.867 73.710 76.291 78.593 80.612 82.352 83.823 85.042 86.025 86.791 87.358 87.743 87.962 - 57.680 61.285 64.828 68.232 71.433 74.381 77.046 79.411 81.474 83.242 84.728 85.951 86.929 87.684 88.234 88.598 88.795 - 57.655 61.430 65.136 68.689 72.019 75.074 77.823 80.250 82.356 84.149 85.648 86.871 87.842 88.583 89.115 89.457 89.629 - 57.627 61.580 65.457 69.164 72.628 75.792 78.624 81.112 83.258 85.074 86.582 87.804 88.765 89.489 90.000 90.318 90.463 - 57.595 61.735 65.790 69.659 73.259 76.534 79.450 81.997 84.181 86.017 87.531 88.748 89.696 90.401 90.889 91.181 91.299 - 57.559 61.896 66.138 70.174 73.916 77.303 80.302 82.906 85.124 86.978 88.494 89.703 90.635 91.319 91.781 92.046 92.134 - 57.520 62.063 66.501 70.712 74.599 78.099 81.181 83.840 86.090 87.957 89.472 90.670 91.583 92.243 92.677 92.912 92.969 - 57.476 62.237 66.881 71.273 75.310 78.924 82.088 84.799 87.077 88.953 90.464 91.647 92.539 93.172 93.577 93.780 93.804 - 57.427 62.418 67.278 71.860 76.050 79.780 83.024 85.784 88.086 89.968 91.471 92.635 93.502 94.106 94.479 94.649 94.639 - 57.374 62.607 67.695 72.474 76.822 80.668 83.989 86.795 89.118 91.001 92.491 93.634 94.473 95.045 95.383 95.518 95.473 - 57.315 62.804 68.133 73.117 77.627 81.590 84.986 87.834 90.173 92.052 93.526 94.643 95.450 95.988 96.290 96.387 96.305 - 57.249 63.012 68.593 73.792 78.467 82.546 86.015 88.900 91.250 93.121 94.574 95.662 96.434 96.935 97.198 97.257 97.137 - 57.178 63.229 69.078 74.501 79.345 83.540 87.078 89.995 92.350 94.208 95.635 96.690 97.425 97.885 98.108 98.126 97.966 - 57.099 63.458 69.590 75.246 80.263 84.572 88.175 91.118 93.473 95.312 96.709 97.727 98.421 98.839 99.019 98.995 98.794 - 57.012 63.699 70.131 76.030 81.224 85.645 89.307 92.271 94.619 96.434 97.796 98.772 99.422 99.795 99.931 99.863 99.620 - 56.916 63.954 70.704 76.857 82.230 86.760 90.476 93.453 95.788 97.573 98.894 99.826 100.429 100.754 100.842 100.730 100.443 - 56.811 64.224 71.312 77.730 83.284 87.919 91.682 94.666 96.979 98.728 100.005 100.887 101.439 101.714 101.754 101.595 101.263 - 56.695 64.511 71.959 78.653 84.388 89.124 92.926 95.908 98.194 99.900 101.126 101.955 102.453 102.676 102.666 102.458 102.081 - 56.566 64.817 72.648 79.629 85.548 90.378 94.210 97.180 99.430 101.087 102.258 103.029 103.471 103.639 103.576 103.319 102.895 - 56.425 65.144 73.384 80.664 86.764 91.681 95.533 98.483 100.689 102.290 103.400 104.110 104.492 104.602 104.485 104.177 103.706 - 56.268 65.494 74.171 81.762 88.042 93.036 96.898 99.816 101.969 103.507 104.551 105.195 105.514 105.565 105.393 105.033 104.513 - 56.093 65.871 75.017 82.930 89.385 94.445 98.303 101.178 103.269 104.737 105.710 106.286 106.539 106.528 106.299 105.885 105.316 - 55.899 66.277 75.927 84.172 90.797 95.909 99.749 102.570 104.590 105.981 106.877 107.380 107.565 107.490 107.202 106.735 106.115 - 55.683 66.718 76.908 85.495 92.281 97.430 101.238 103.991 105.930 107.237 108.052 108.477 108.591 108.451 108.103 107.580 106.910 - 55.440 67.198 77.970 86.907 93.841 99.010 102.767 105.441 107.288 108.504 109.232 109.577 109.617 109.410 109.000 108.422 107.700 - 55.168 67.722 79.123 88.416 95.482 100.649 104.339 106.917 108.664 109.782 110.418 110.679 110.643 110.367 109.895 109.259 108.485 - 54.860 68.299 80.377 90.029 97.207 102.348 105.951 108.420 110.056 111.068 111.608 111.782 111.667 111.321 110.785 110.092 109.266 - 54.511 68.937 81.748 91.756 99.020 104.109 107.603 109.949 111.463 112.363 112.802 112.886 112.691 112.272 111.671 110.920 110.041 - 54.113 69.647 83.250 93.607 100.925 105.931 109.294 111.501 112.884 113.666 113.999 113.989 113.711 113.219 112.553 111.743 110.810 - 53.656 70.442 84.902 95.591 102.924 107.813 111.022 113.075 114.317 114.974 115.197 115.092 114.729 114.163 113.431 112.561 111.575 - 53.128 71.340 86.725 97.719 105.020 109.757 112.787 114.670 115.761 116.287 116.397 116.192 115.744 115.102 114.303 113.373 112.333 - 52.512 72.363 88.744 100.001 107.215 111.758 114.585 116.284 117.215 117.603 117.596 117.291 116.755 116.037 115.170 114.180 113.086 - 51.786 73.539 90.988 102.447 109.509 113.817 116.416 117.915 118.676 118.922 118.794 118.386 117.762 116.966 116.031 114.980 113.832 - 50.921 74.906 93.489 105.068 111.903 115.930 118.274 119.560 120.144 120.242 119.991 119.478 118.763 117.889 116.886 115.775 114.572 - 49.877 76.517 96.285 107.870 114.393 118.094 120.159 121.217 121.616 121.562 121.185 120.565 119.760 118.807 117.735 116.563 115.307 - 48.594 78.440 99.417 110.859 116.979 120.305 122.066 122.883 123.090 122.881 122.374 121.647 120.750 119.719 118.578 117.345 116.034 - 46.989 80.776 102.928 114.039 119.653 122.557 123.993 124.557 124.566 124.197 123.560 122.724 121.735 120.624 119.414 118.121 116.755 - 44.930 83.665 106.863 117.407 122.409 124.846 125.934 126.236 126.040 125.509 124.740 123.794 122.712 121.522 120.243 118.889 117.470 diff --git a/pydarn/utils/radar_pos.py b/pydarn/utils/radar_pos.py index e4c1163b9..2c359b602 100644 --- a/pydarn/utils/radar_pos.py +++ b/pydarn/utils/radar_pos.py @@ -18,6 +18,7 @@ # Modifications: # 2020-04-20 Marina Schmidt converted the above link to python and changed # variable and function names to readability +# 2020-09-15 Marina Schmidt removed fov file reading option # # Disclaimer: # pyDARN is under the LGPL v3 license found in the root directory LICENSE.md @@ -47,9 +48,8 @@ def radar_fov(stid: int, rsep: int = 45, frang: int = 180, - ranges: tuple = None, fov_files: bool = False, - coords: object = Coords.AACGM, max_beams: int = None, - date: dt.datetime = None, **kwargs): + ranges: tuple = None, coords: object = Coords.AACGM, + max_beams: int = None, date: dt.datetime = None, **kwargs): """ Returning beam/gate coordinates of a specified radar's field-of-view @@ -75,68 +75,31 @@ def radar_fov(stid: int, rsep: int = 45, frang: int = 180, for range gate corners """ # Locate base PyDARN directory - if fov_files: - my_path = os.path.abspath(os.path.dirname(__file__)) - base_path = os.path.join(my_path, '..') - - # Find files holding radar beam/gate locations - beam_lats = base_path+'/radar_fov_files/' + \ - str(stid).zfill(3)+'_lats.txt' - beam_lons = base_path+'/radar_fov_files/' + \ - str(stid).zfill(3)+'_lons.txt' - - # Read in geographic coordinates - beam_corners_lats = np.loadtxt(beam_lats) - beam_corners_lons = np.loadtxt(beam_lons) - # AACGMv2 conversion - if coords == Coords.AACGM: - if date is None: - date = datetime.datetime.now() - # Initialise arrays - fan_shape = beam_corners_lons.shape - beam_corners_aacgm_lons = \ - np.zeros((fan_shape[0], fan_shape[1])) - beam_corners_aacgm_lats = \ - np.zeros((fan_shape[0], fan_shape[1])) - - for x in range(fan_shape[0]): - for y in range(fan_shape[1]): - # Conversion - geomag = np.array(aacgmv2. - get_aacgm_coord(beam_corners_lats[x, y], - beam_corners_lons[x, y], - 250, date)) - beam_corners_aacgm_lats[x, y] = geomag[0] - beam_corners_aacgm_lons[x, y] = geomag[1] - - # Return AACGMv2 latitudes and longitudes - return beam_corners_aacgm_lats, beam_corners_aacgm_lons - else: - if ranges is None: - ranges = [0, SuperDARNRadars.radars[stid].range_gate_45] - if max_beams is None: - max_beams = SuperDARNRadars.radars[stid].hardware_info.beams - # Plus 1 is due to the fact fov files index at 1 so in the plotting - # of the boundary there is a subtraction of 1 to offset this as python - # converts to index of 0 which my code already accounts for - beam_corners_lats = np.zeros((ranges[1], max_beams+1)) - beam_corners_lons = np.zeros((ranges[1], max_beams+1)) - - for beam in range(0, max_beams+1): - for gate in range(ranges[0], ranges[1]): - lat, lon = geographic_cell_positions(stid, beam, gate, rsep, - frang, height=300) - - if coords == Coords.AACGM: - if date is None: - date = datetime.datetime.now() - - geomag = np.array(aacgmv2. get_aacgm_coord(lat, lon, - 250, date)) - lat = geomag[0] - lon = geomag[1] - beam_corners_lats[gate, beam] = lat - beam_corners_lons[gate, beam] = lon + if ranges is None: + ranges = [0, SuperDARNRadars.radars[stid].range_gate_45] + if max_beams is None: + max_beams = SuperDARNRadars.radars[stid].hardware_info.beams + # Plus 1 is due to the fact fov files index at 1 so in the plotting + # of the boundary there is a subtraction of 1 to offset this as python + # converts to index of 0 which my code already accounts for + beam_corners_lats = np.zeros((ranges[1], max_beams+1)) + beam_corners_lons = np.zeros((ranges[1], max_beams+1)) + + for beam in range(0, max_beams+1): + for gate in range(ranges[0], ranges[1]): + lat, lon = geographic_cell_positions(stid, beam, gate, rsep, + frang, height=300) + + if coords == Coords.AACGM: + if date is None: + date = datetime.datetime.now() + + geomag = np.array(aacgmv2. get_aacgm_coord(lat, lon, + 250, date)) + lat = geomag[0] + lon = geomag[1] + beam_corners_lats[gate, beam] = lat + beam_corners_lons[gate, beam] = lon # Return geographic coordinates return beam_corners_lats, beam_corners_lons From 640cccd223875925e0d60015cc3f7ee6aad3f831 Mon Sep 17 00:00:00 2001 From: Marina Schmidt Date: Thu, 16 Sep 2021 12:14:58 -0600 Subject: [PATCH 092/109] Apply suggestions from code review Co-authored-by: carleyjmartin <60905856+carleyjmartin@users.noreply.github.com> --- docs/dev/PR.md | 2 +- docs/dev/branching.md | 2 +- docs/dev/pytest.md | 12 ++++++------ 3 files changed, 8 insertions(+), 8 deletions(-) diff --git a/docs/dev/PR.md b/docs/dev/PR.md index 4517fdecd..421374377 100644 --- a/docs/dev/PR.md +++ b/docs/dev/PR.md @@ -25,7 +25,7 @@ Before submitting a PR check the code check list first: - copyright and disclaimer, or modification line is added - the code installs with python 3.6 and higher - the code doesn't fail on [`pytest` test](pytest.md) -- Any new features need to have [tests for `pytest` to run on](pytest.md) +- any new features need to have [tests for `pytest` to run on](pytest.md) - documentation is updated or in another PR for users - Follows [PEP8](https://www.python.org/dev/peps/pep-0008/) code style and [pandas docstring](https://pandas.pydata.org/pandas-docs/stable/development/contributing_docstring.html) style - unit tests or various testing has been added/done diff --git a/docs/dev/branching.md b/docs/dev/branching.md index 9e86ea685..93e98c8a0 100644 --- a/docs/dev/branching.md +++ b/docs/dev/branching.md @@ -66,4 +66,4 @@ In git, "branches" are used to make changes to the code without affecting the ma git push origin * Repeat the above commands above as you work on the code changes -* Once you have completed, documented, tested and update the [unit tests](pytest.md) then you can create a pull request, see [pull request](PR.md) +* Once you have completed, documented, tested and updated the [unit tests](pytest.md) then you can create a pull request, see [pull request](PR.md) diff --git a/docs/dev/pytest.md b/docs/dev/pytest.md index e84d6fc47..0c43d67c4 100644 --- a/docs/dev/pytest.md +++ b/docs/dev/pytest.md @@ -15,7 +15,7 @@ the additional permissions listed below. ## Unit Testing Unit testing in pyDARN is a way to check that pydarn is running correctly with any new changes to the code. These tests are meant to be simple and short to only test input (parameter) changes to ensure the code does not fail. -Exceptions can also be tested to make sure it fails correctly. Please note testing in pyDARN is for validity (code runs as it should) but not validation (outputting accurate plots). Validation testing is done by users who understanding the scientific accuracy the plots represent. +Exceptions can also be tested to make sure it fails correctly. Please note testing in pyDARN is for validity (code runs as it should) but not validation (outputting accurate plots). Validation testing is done by users who understand the scientific accuracy the plots represent. pyDARN uses [`pytest`](https://docs.pytest.org/en/6.2.x/) for unit testing. @@ -26,11 +26,11 @@ Running `pytest` in pyDARN is for developers and testers that work with GitHub. !!! Warning Make sure you install pytest in your virtual environment or on your computer -1. [clone the pydarn repository](https://github.com/superdarn/pydarn) -2. change directory to pyDARN `cd pydarn` -3. install pydarn `pip install . --user` +1. [Clone the pydarn repository](https://github.com/superdarn/pydarn) +2. Change directory to pyDARN `cd pydarn` +3. Install pydarn `pip install . --user` - you can install a [virtual environment](../users/install.md) first to protect your current pyDARN install -4. now run pytest `pytest` it should report no fails +4. Now run pytest `pytest` it should report no fails 5. If it reports a fail please look into it if you are the developer of the change, or report it on the pull request if you are testing ## Writing pytest tests @@ -56,6 +56,6 @@ Remember this is not to test the accuracy as pytest cannot look at the plot but !!! Note There are files provided for testing in the `test/data/` directory. If you need to add please keep the file size as small as possible and check in with other before adding. If its too big, it may not be able to be added to GitHub and cause pydarn to be slow to download. -To avoid writing several tests with the same body of code, consider using the `paranetrize` to provide various types of inputs for one function. +To avoid writing several tests with the same body of code, consider using the `parameterize` to provide various types of inputs for one function. If you want to reuse `parameterize` parameters for other tests place them in a class, all methods of that class have to take the `parameterize` parameters. One can add more parameters to a method by placing the `parameterize` decorator and parameter name above it and then include in the methods input. From d2459692eae7975aa7c19b869b0083dcdac5322b Mon Sep 17 00:00:00 2001 From: carleyjmartin Date: Wed, 22 Sep 2021 12:04:49 -0600 Subject: [PATCH 093/109] update documentation to include channel option and slight change to scan_index definition, added channel option to range time documentation --- docs/user/fan.md | 9 ++++++++- docs/user/range_time.md | 1 + pydarn/plotting/fan.py | 5 +++-- 3 files changed, 12 insertions(+), 3 deletions(-) diff --git a/docs/user/fan.md b/docs/user/fan.md index c87dff7af..2186ae68f 100644 --- a/docs/user/fan.md +++ b/docs/user/fan.md @@ -1,6 +1,7 @@