/
visufunc_ext.py
1189 lines (1114 loc) · 49.5 KB
/
visufunc_ext.py
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#
# This file copies parts of Healpy in order to add a specific function
# to a class that is inherited. As such, we are reproducing the license header
#
# This is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 2 of the License, or
# (at your option) any later version.
#
# This is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with Healpy; if not, write to the Free Software
# Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA
#
# For more information about Healpy, see http://code.google.com/p/healpy
#
'''Code to plot contours of images on projections of Healpix maps.'''
import numpy as np
import healpy.projaxes as PA
import healpy.projector as P
import healpy.pixelfunc as pixelfunc
import healpy as hp
import matplotlib.axes
import pylab as pl
def mollcontour(map=None,NV=None,fig=None,rot=None,coord=None,unit='',
xsize=800,title='Mollweide view',nest=False,
min=None,max=None,flip='astro',
remove_dip=False,remove_mono=False,
gal_cut=0,
format='%g',format2='%g',
cbar=True,cmap=None, notext=False,
norm=None,hold=False,margins=None,sub=None,
return_projected_map=False):
"""Plot an healpix map (given as an array) as contours in Mollweide projection.
Parameters
----------
map : float, array-like or None
An array containing the map, supports masked maps, see the `ma` function.
If None, will display a blank map, useful for overplotting.
NV : int, array-like, or None
if int, the number of contour levels
if an array, the values of the contour levels
if None, contour levels will be automatically determined
fig : int or None, optional
The figure number to use. Default: create a new figure
rot : scalar or sequence, optional
Describe the rotation to apply.
In the form (lon, lat, psi) (unit: degrees) : the point at
longitude *lon* and latitude *lat* will be at the center. An additional rotation
of angle *psi* around this direction is applied.
coord : sequence of character, optional
Either one of 'G', 'E' or 'C' to describe the coordinate
system of the map, or a sequence of 2 of these to rotate
the map from the first to the second coordinate system.
unit : str, optional
A text describing the unit of the data. Default: ''
xsize : int, optional
The size of the image. Default: 800
title : str, optional
The title of the plot. Default: 'Mollweide view'
nest : bool, optional
If True, ordering scheme is NESTED. Default: False (RING)
min : float, optional
The minimum range value
max : float, optional
The maximum range value
flip : {'astro', 'geo'}, optional
Defines the convention of projection : 'astro' (default, east towards left, west towards right)
or 'geo' (east towards roght, west towards left)
remove_dip : bool, optional
If :const:`True`, remove the dipole+monopole
remove_mono : bool, optional
If :const:`True`, remove the monopole
gal_cut : float, scalar, optional
Symmetric galactic cut for the dipole/monopole fit.
Removes points in latitude range [-gal_cut, +gal_cut]
format : str, optional
The format of the scale label. Default: '%g'
format2 : str, optional
Format of the pixel value under mouse. Default: '%g'
cbar : bool, optional
Display the colorbar. Default: True
notext : bool, optional
If True, no text is printed around the map
norm : {'hist', 'log', None}
Color normalization, hist= histogram equalized color mapping,
log= logarithmic color mapping, default: None (linear color mapping)
hold : bool, optional
If True, replace the current Axes by a MollweideAxes.
use this if you want to have multiple maps on the same
figure. Default: False
sub : int, scalar or sequence, optional
Use only a zone of the current figure (same syntax as subplot).
Default: None
margins : None or sequence, optional
Either None, or a sequence (left,bottom,right,top)
giving the margins on left,bottom,right and top
of the axes. Values are relative to figure (0-1).
Default: None
return_projected_map : bool
if True returns the projected map in a 2d numpy array
See Also
--------
gnomcontour, cartcontour, orthcontour
"""
# Create the figure
import pylab
if not (hold or sub):
f=pylab.figure(fig,figsize=(8.5,5.4))
extent = (0.02,0.05,0.96,0.9)
elif hold:
f=pylab.gcf()
left,bottom,right,top = np.array(f.gca().get_position()).ravel()
extent = (left,bottom,right-left,top-bottom)
f.delaxes(f.gca())
else: # using subplot syntax
f=pylab.gcf()
if hasattr(sub,'__len__'):
nrows, ncols, idx = sub
else:
nrows, ncols, idx = sub/100, (sub%100)/10, (sub%10)
if idx < 1 or idx > ncols*nrows:
raise ValueError('Wrong values for sub: %d, %d, %d'%(nrows,
ncols,
idx))
c,r = (idx-1)%ncols,(idx-1)//ncols
if not margins:
margins = (0.01,0.0,0.0,0.02)
extent = (c*1./ncols+margins[0],
1.-(r+1)*1./nrows+margins[1],
1./ncols-margins[2]-margins[0],
1./nrows-margins[3]-margins[1])
extent = (extent[0]+margins[0],
extent[1]+margins[1],
extent[2]-margins[2]-margins[0],
extent[3]-margins[3]-margins[1])
#extent = (c*1./ncols, 1.-(r+1)*1./nrows,1./ncols,1./nrows)
#f=pylab.figure(fig,figsize=(8.5,5.4))
# Starting to draw : turn interactive off
wasinteractive = pylab.isinteractive()
pylab.ioff()
try:
if map is None:
map = np.zeros(12)+np.inf
cbar=False
map = pixelfunc.ma_to_array(map)
ax = HpxMollweideAxes(f,extent,coord=coord,rot=rot,
format=format2,flipconv=flip)
f.add_axes(ax)
if remove_dip:
map=pixelfunc.remove_dipole(map,gal_cut=gal_cut,
nest=nest,copy=True,
verbose=True)
elif remove_mono:
map=pixelfunc.remove_monopole(map,gal_cut=gal_cut,nest=nest,
copy=True,verbose=True)
if NV is not None:
img, cs = ax.projcontour(map,NV,nest=nest,xsize=xsize,coord=coord,vmin=min,vmax=max,
cmap=cmap,norm=norm)
else:
img, cs = ax.projcontour(map,nest=nest,xsize=xsize,coord=coord,vmin=min,vmax=max,
cmap=cmap,norm=norm)
if cbar:
b = cs.norm.inverse(np.linspace(0,1,cs.cmap.N+1))
v = np.linspace(cs.norm.vmin,cs.norm.vmax,cs.cmap.N)
if matplotlib.__version__ >= '0.91.0':
cb=f.colorbar(cs,ax=ax,
orientation='horizontal',
shrink=0.5,aspect=25,ticks=PA.BoundaryLocator(),
pad=0.05,fraction=0.1,boundaries=b,values=v,
format=format)
else:
# for older matplotlib versions, no ax kwarg
cb=f.colorbar(cs,orientation='horizontal',
shrink=0.5,aspect=25,ticks=PA.BoundaryLocator(),
pad=0.05,fraction=0.1,boundaries=b,values=v,
format=format)
#cb.solids.set_rasterized(True)
ax.set_title(title)
if not notext:
ax.text(0.86,0.05,ax.proj.coordsysstr,fontsize=14,
fontweight='bold',transform=ax.transAxes)
if cbar:
cb.ax.text(0.5,-1.0,unit,fontsize=14,
transform=cb.ax.transAxes,ha='center',va='center')
f.sca(ax)
#graticule(dpar=90, dmer=180.0, verbose=False)
finally:
pylab.draw()
if wasinteractive:
pylab.ion()
#pylab.show()
if return_projected_map:
return img
def mollcontourf(map=None,NV=None,fig=None,rot=None,coord=None,unit='',
xsize=800,title='Mollweide view',nest=False,
min=None,max=None,flip='astro',
remove_dip=False,remove_mono=False,
gal_cut=0,
format='%g',format2='%g',
cbar=True,cmap=None, notext=False,
norm=None,hold=False,margins=None,sub=None,
return_projected_map=False):
# Create the figure
import pylab
if not (hold or sub):
f=pylab.figure(fig,figsize=(8.5,5.4))
extent = (0.02,0.05,0.96,0.9)
elif hold:
f=pylab.gcf()
left,bottom,right,top = np.array(f.gca().get_position()).ravel()
extent = (left,bottom,right-left,top-bottom)
f.delaxes(f.gca())
else: # using subplot syntax
f=pylab.gcf()
if hasattr(sub,'__len__'):
nrows, ncols, idx = sub
else:
nrows, ncols, idx = sub/100, (sub%100)/10, (sub%10)
if idx < 1 or idx > ncols*nrows:
raise ValueError('Wrong values for sub: %d, %d, %d'%(nrows,
ncols,
idx))
c,r = (idx-1)%ncols,(idx-1)//ncols
if not margins:
margins = (0.01,0.0,0.0,0.02)
extent = (c*1./ncols+margins[0],
1.-(r+1)*1./nrows+margins[1],
1./ncols-margins[2]-margins[0],
1./nrows-margins[3]-margins[1])
extent = (extent[0]+margins[0],
extent[1]+margins[1],
extent[2]-margins[2]-margins[0],
extent[3]-margins[3]-margins[1])
#extent = (c*1./ncols, 1.-(r+1)*1./nrows,1./ncols,1./nrows)
#f=pylab.figure(fig,figsize=(8.5,5.4))
# Starting to draw : turn interactive off
wasinteractive = pylab.isinteractive()
pylab.ioff()
try:
if map is None:
map = np.zeros(12)+np.inf
cbar=False
map = pixelfunc.ma_to_array(map)
ax=HpxMollweideAxes(f,extent,coord=coord,rot=rot,
format=format2,flipconv=flip)
f.add_axes(ax)
if remove_dip:
map=pixelfunc.remove_dipole(map,gal_cut=gal_cut,
nest=nest,copy=True,
verbose=True)
elif remove_mono:
map=pixelfunc.remove_monopole(map,gal_cut=gal_cut,nest=nest,
copy=True,verbose=True)
if NV is not None:
img, cs = ax.projcontourf(map,NV,nest=nest,xsize=xsize,coord=coord,vmin=min,vmax=max,
cmap=cmap,norm=norm)
else:
img, cs = ax.projcontourf(map,nest=nest,xsize=xsize,coord=coord,vmin=min,vmax=max,
cmap=cmap,norm=norm)
if cbar:
b = cs.norm.inverse(np.linspace(0,1,cs.cmap.N+1))
v = np.linspace(cs.norm.vmin,cs.norm.vmax,cs.cmap.N)
if matplotlib.__version__ >= '0.91.0':
cb=f.colorbar(cs,ax=ax,
orientation='horizontal',
shrink=0.5,aspect=25,ticks=PA.BoundaryLocator(),
pad=0.05,fraction=0.1,boundaries=b,values=v,
format=format)
else:
# for older matplotlib versions, no ax kwarg
cb=f.colorbar(cs,orientation='horizontal',
shrink=0.5,aspect=25,ticks=PA.BoundaryLocator(),
pad=0.05,fraction=0.1,boundaries=b,values=v,
format=format)
#cb.solids.set_rasterized(True)
ax.set_title(title)
if not notext:
ax.text(0.86,0.05,ax.proj.coordsysstr,fontsize=14,
fontweight='bold',transform=ax.transAxes)
if cbar:
cb.ax.text(0.5,-1.0,unit,fontsize=14,
transform=cb.ax.transAxes,ha='center',va='center')
f.sca(ax)
#graticule(dpar=90, dmer=180.0, verbose=False)
finally:
pylab.draw()
if wasinteractive:
pylab.ion()
#pylab.show()
if return_projected_map:
return img
def gnomcontour(map=None,NV=None,fig=None,rot=None,coord=None,unit='',
xsize=200,ysize=None,reso=1.5,degree=False,
title='Gnomonic view',nest=False,remove_dip=False,
remove_mono=False,gal_cut=0,
min=None,max=None,flip='astro',
format='%.3g',cbar=True,
cmap=None, norm=None,
hold=False,sub=None,margins=None,notext=False,
return_projected_map=False):
"""Plot an healpix map (given as an array) as contours in Gnomonic projection.
Parameters
----------
map : array-like
The map to project, supports masked maps, see the `ma` function.
If None, use a blank map, useful for
overplotting.
NV : int, array-like, or None
if int, the number of contour levels
if an array, the values of the contour levels
if None, contour levels will be automatically determined
fig : None or int, optional
A figure number. Default: None= create a new figure
rot : scalar or sequence, optional
Describe the rotation to apply.
In the form (lon, lat, psi) (unit: degrees) : the point at
longitude *lon* and latitude *lat* will be at the center. An additional rotation
of angle *psi* around this direction is applied.
coord : sequence of character, optional
Either one of 'G', 'E' or 'C' to describe the coordinate
system of the map, or a sequence of 2 of these to rotate
the map from the first to the second coordinate system.
unit : str, optional
A text describing the unit of the data. Default: ''
xsize : int, optional
The size of the image. Default: 200
ysize : None or int, optional
The size of the image. Default: None= xsize
reso : float, optional
Resolution (in arcmin if degree is False). Default: 1.5 arcmin
degree : bool, optional
if True, reso is in degree. Default: False
title : str, optional
The title of the plot. Default: 'Gnomonic view'
nest : bool, optional
If True, ordering scheme is NESTED. Default: False (RING)
min : float, scalar, optional
The minimum range value
max : float, scalar, optional
The maximum range value
flip : {'astro', 'geo'}, optional
Defines the convention of projection : 'astro' (default, east towards left, west towards right)
or 'geo' (east towards roght, west towards left)
remove_dip : bool, optional
If :const:`True`, remove the dipole+monopole
remove_mono : bool, optional
If :const:`True`, remove the monopole
gal_cut : float, scalar, optional
Symmetric galactic cut for the dipole/monopole fit.
Removes points in latitude range [-gal_cut, +gal_cut]
format : str, optional
The format of the scale label. Default: '%g'
hold : bool, optional
If True, replace the current Axes by a MollweideAxes.
use this if you want to have multiple maps on the same
figure. Default: False
sub : int or sequence, optional
Use only a zone of the current figure (same syntax as subplot).
Default: None
margins : None or sequence, optional
Either None, or a sequence (left,bottom,right,top)
giving the margins on left,bottom,right and top
of the axes. Values are relative to figure (0-1).
Default: None
notext: bool, optional
If True: do not add resolution info text. Default=False
return_projected_map : bool
if True returns the projected map in a 2d numpy array
See Also
--------
mollcontour, cartcontour, orthcontour
"""
import pylab
if not (hold or sub):
f=pylab.figure(fig,figsize=(5.8,6.4))
if not margins:
margins = (0.075,0.05,0.075,0.05)
extent = (0.0,0.0,1.0,1.0)
elif hold:
f=pylab.gcf()
left,bottom,right,top = np.array(pylab.gca().get_position()).ravel()
if not margins:
margins = (0.0,0.0,0.0,0.0)
extent = (left,bottom,right-left,top-bottom)
f.delaxes(pylab.gca())
else: # using subplot syntax
f=pylab.gcf()
if hasattr(sub,'__len__'):
nrows, ncols, idx = sub
else:
nrows, ncols, idx = sub/100, (sub%100)/10, (sub%10)
if idx < 1 or idx > ncols*nrows:
raise ValueError('Wrong values for sub: %d, %d, %d'%(nrows,
ncols,
idx))
c,r = (idx-1)%ncols,(idx-1)//ncols
if not margins:
margins = (0.01,0.0,0.0,0.02)
extent = (c*1./ncols+margins[0],
1.-(r+1)*1./nrows+margins[1],
1./ncols-margins[2]-margins[0],
1./nrows-margins[3]-margins[1])
extent = (extent[0]+margins[0],
extent[1]+margins[1],
extent[2]-margins[2]-margins[0],
extent[3]-margins[3]-margins[1])
#f=pylab.figure(fig,figsize=(5.5,6))
# Starting to draw : turn interactive off
wasinteractive = pylab.isinteractive()
pylab.ioff()
try:
if map is None:
map = np.zeros(12)+np.inf
cbar=False
map = pixelfunc.ma_to_array(map)
ax=HpxGnomonicAxes(f,extent,coord=coord,rot=rot,
format=format,flipconv=flip)
f.add_axes(ax)
if remove_dip:
map=pixelfunc.remove_dipole(map,gal_cut=gal_cut,nest=nest,copy=True)
elif remove_mono:
map=pixelfunc.remove_monopole(map,gal_cut=gal_cut,nest=nest,copy=True)
if NV is not None:
img, cs = ax.projcontour(map,NV,nest=nest,coord=coord,vmin=min,
vmax=max,xsize=xsize,ysize=ysize,reso=reso,
cmap=cmap,norm=norm)
else:
img, cs = ax.projcontour(map,nest=nest,coord=coord,vmin=min,
vmax=max,xsize=xsize,ysize=ysize,reso=reso,
cmap=cmap,norm=norm)
if cbar:
b = cs.norm.inverse(np.linspace(0,1,cs.cmap.N+1))
v = np.linspace(cs.norm.vmin,cs.norm.vmax,cs.cmap.N)
if matplotlib.__version__ >= '0.91.0':
cb=f.colorbar(cs,ax=ax,
orientation='horizontal',
shrink=0.5,aspect=25,ticks=PA.BoundaryLocator(),
pad=0.08,fraction=0.1,boundaries=b,values=v,
format=format)
else:
cb=f.colorbar(cs,orientation='horizontal',
shrink=0.5,aspect=25,ticks=PA.BoundaryLocator(),
pad=0.08,fraction=0.1,boundaries=b,values=v,
format=format)
cb.solids.set_rasterized(True)
ax.set_title(title)
if not notext:
ax.text(-0.07,0.02,
"%g '/pix, %dx%d pix"%(ax.proj.arrayinfo['reso'],
ax.proj.arrayinfo['xsize'],
ax.proj.arrayinfo['ysize']),
fontsize=12,verticalalignment='bottom',
transform=ax.transAxes,rotation=90)
ax.text(-0.07,0.6,ax.proj.coordsysstr,fontsize=14,
fontweight='bold',rotation=90,transform=ax.transAxes)
lon,lat = np.around(ax.proj.get_center(lonlat=True),ax._coordprec)
ax.text(0.5,-0.03,'(%g,%g)'%(lon,lat),
verticalalignment='center', horizontalalignment='center',
transform=ax.transAxes)
if cbar:
cb.ax.text(1.05,0.30,unit,fontsize=14,fontweight='bold',
transform=cb.ax.transAxes,ha='left',va='center')
f.sca(ax)
finally:
pylab.draw()
if wasinteractive:
pylab.ion()
#pylab.show()
if return_projected_map:
return img
def cartcontour(map=None,NV=None,fig=None,rot=None,zat=None,coord=None,unit='',
xsize=800,ysize=None,lonra=None,latra=None,
title='Cartesian view',nest=False,remove_dip=False,
remove_mono=False,gal_cut=0,
min=None,max=None,flip='astro',
format='%.3g',cbar=True,
cmap=None, norm=None,aspect=None,
hold=False,sub=None,margins=None,notext=False,
return_projected_map=False):
"""Plot an healpix map (given as an array) as contours in Cartesian projection.
Parameters
----------
map : float, array-like or None
An array containing the map,
supports masked maps, see the `ma` function.
If None, will display a blank map, useful for overplotting.
NV : int, array-like, or None
if int, the number of contour levels
if an array, the values of the contour levels
if None, contour levels will be automatically determined
fig : int or None, optional
The figure number to use. Default: create a new figure
rot : scalar or sequence, optional
Describe the rotation to apply.
In the form (lon, lat, psi) (unit: degrees) : the point at
longitude *lon* and latitude *lat* will be at the center. An additional rotation
of angle *psi* around this direction is applied.
coord : sequence of character, optional
Either one of 'G', 'E' or 'C' to describe the coordinate
system of the map, or a sequence of 2 of these to rotate
the map from the first to the second coordinate system.
unit : str, optional
A text describing the unit of the data. Default: ''
xsize : int, optional
The size of the image. Default: 800
lonra : sequence, optional
Range in longitude. Default: [-180,180]
latra : sequence, optional
Range in latitude. Default: [-90,90]
title : str, optional
The title of the plot. Default: 'Mollweide view'
nest : bool, optional
If True, ordering scheme is NESTED. Default: False (RING)
min : float, optional
The minimum range value
max : float, optional
The maximum range value
flip : {'astro', 'geo'}, optional
Defines the convention of projection : 'astro' (default, east towards left, west towards right)
or 'geo' (east towards roght, west towards left)
remove_dip : bool, optional
If :const:`True`, remove the dipole+monopole
remove_mono : bool, optional
If :const:`True`, remove the monopole
gal_cut : float, scalar, optional
Symmetric galactic cut for the dipole/monopole fit.
Removes points in latitude range [-gal_cut, +gal_cut]
format : str, optional
The format of the scale label. Default: '%g'
cbar : bool, optional
Display the colorbar. Default: True
notext : bool, optional
If True, no text is printed around the map
norm : {'hist', 'log', None}, optional
Color normalization, hist= histogram equalized color mapping,
log= logarithmic color mapping, default: None (linear color mapping)
hold : bool, optional
If True, replace the current Axes by a CartesianAxes.
use this if you want to have multiple maps on the same
figure. Default: False
sub : int, scalar or sequence, optional
Use only a zone of the current figure (same syntax as subplot).
Default: None
margins : None or sequence, optional
Either None, or a sequence (left,bottom,right,top)
giving the margins on left,bottom,right and top
of the axes. Values are relative to figure (0-1).
Default: None
return_projected_map : bool
if True returns the projected map in a 2d numpy array
See Also
--------
mollcontour, gnomcontour, orthcontour
"""
import pylab
if not (hold or sub):
f=pylab.figure(fig,figsize=(8.5,5.4))
if not margins:
margins = (0.075,0.05,0.075,0.05)
extent = (0.0,0.0,1.0,1.0)
elif hold:
f=pylab.gcf()
left,bottom,right,top = np.array(pylab.gca().get_position()).ravel()
if not margins:
margins = (0.0,0.0,0.0,0.0)
extent = (left,bottom,right-left,top-bottom)
f.delaxes(pylab.gca())
else: # using subplot syntax
f=pylab.gcf()
if hasattr(sub,'__len__'):
nrows, ncols, idx = sub
else:
nrows, ncols, idx = sub/100, (sub%100)/10, (sub%10)
if idx < 1 or idx > ncols*nrows:
raise ValueError('Wrong values for sub: %d, %d, %d'%(nrows,
ncols,
idx))
c,r = (idx-1)%ncols,(idx-1)//ncols
if not margins:
margins = (0.01,0.0,0.0,0.02)
extent = (c*1./ncols+margins[0],
1.-(r+1)*1./nrows+margins[1],
1./ncols-margins[2]-margins[0],
1./nrows-margins[3]-margins[1])
extent = (extent[0]+margins[0],
extent[1]+margins[1],
extent[2]-margins[2]-margins[0],
extent[3]-margins[3]-margins[1])
#f=pylab.figure(fig,figsize=(5.5,6))
# Starting to draw : turn interactive off
wasinteractive = pylab.isinteractive()
pylab.ioff()
try:
if map is None:
map = np.zeros(12)+np.inf
cbar=False
map = pixelfunc.ma_to_array(map)
if zat and rot:
raise ValueError('Only give rot or zat, not both')
if zat:
rot = np.array(zat,dtype=np.float64)
rot.resize(3)
rot[1] -= 90
ax=HpxCartesianAxes(f,extent,coord=coord,rot=rot,
format=format,flipconv=flip)
f.add_axes(ax)
if remove_dip:
map=pixelfunc.remove_dipole(map,gal_cut=gal_cut,nest=nest,copy=True)
elif remove_mono:
map=pixelfunc.remove_monopole(map,gal_cut=gal_cut,nest=nest,copy=True)
if NV is not None:
img, cs = ax.projcontour(map,NV,nest=nest,coord=coord,vmin=min,
vmax=max,xsize=xsize,ysize=ysize,lonra=lonra,
latra=latra,cmap=cmap,norm=norm,aspect=aspect)
else:
img, cs = ax.projcontour(map,nest=nest,coord=coord,vmin=min,
vmax=max,xsize=xsize,ysize=ysize,lonra=lonra,
latra=latra,cmap=cmap,norm=norm,aspect=aspect)
if cbar:
b = cs.norm.inverse(np.linspace(0,1,cs.cmap.N+1))
v = np.linspace(cs.norm.vmin,cs.norm.vmax,cs.cmap.N)
if matplotlib.__version__ >= '0.91.0':
cb=f.colorbar(cs,ax=ax,
orientation='horizontal',
shrink=0.5,aspect=25,ticks=PA.BoundaryLocator(),
pad=0.08,fraction=0.1,boundaries=b,values=v,
format=format)
else:
cb=f.colorbar(cs,orientation='horizontal',
shrink=0.5,aspect=25,ticks=PA.BoundaryLocator(),
pad=0.08,fraction=0.1,boundaries=b,values=v,
format=format)
cb.solids.set_rasterized(True)
ax.set_title(title)
if not notext:
ax.text(-0.07,0.6,ax.proj.coordsysstr,fontsize=14,
fontweight='bold',rotation=90,transform=ax.transAxes)
if cbar:
cb.ax.text(1.05,0.30,unit,fontsize=14,fontweight='bold',
transform=cb.ax.transAxes,ha='left',va='center')
f.sca(ax)
finally:
if wasinteractive:
pylab.ion()
pylab.draw()
#pylab.show()
if return_projected_map:
return img
def orthcontour(map=None,NV=None,fig=None,rot=None,coord=None,unit='',
xsize=800,half_sky=False,
title='Orthographic view',nest=False,
min=None,max=None,flip='astro',
remove_dip=False,remove_mono=False,
gal_cut=0,
format='%g',format2='%g',
cbar=True,cmap=None, notext=False,
norm=None,hold=False,margins=None,sub=None,
return_projected_map=False):
"""Plot an healpix map (given as an array) in Orthographic projection.
Parameters
----------
map : float, array-like or None
An array containing the map.
If None, will display a blank map, useful for overplotting.
NV : int, array-like, or None
if int, the number of contour levels
if an array, the values of the contour levels
if None, contour levels will be automatically determined
fig : int or None, optional
The figure number to use. Default: create a new figure
rot : scalar or sequence, optional
Describe the rotation to apply.
In the form (lon, lat, psi) (unit: degrees) : the point at
longitude *lon* and latitude *lat* will be at the center. An additional rotation
of angle *psi* around this direction is applied.
coord : sequence of character, optional
Either one of 'G', 'E' or 'C' to describe the coordinate
system of the map, or a sequence of 2 of these to rotate
the map from the first to the second coordinate system.
half_sky : bool, optional
Plot only one side of the sphere. Default: False
unit : str, optional
A text describing the unit of the data. Default: ''
xsize : int, optional
The size of the image. Default: 800
title : str, optional
The title of the plot. Default: 'Orthographic view'
nest : bool, optional
If True, ordering scheme is NESTED. Default: False (RING)
min : float, optional
The minimum range value
max : float, optional
The maximum range value
flip : {'astro', 'geo'}, optional
Defines the convention of projection : 'astro' (default, east towards left, west towards right)
or 'geo' (east towards roght, west towards left)
remove_dip : bool, optional
If :const:`True`, remove the dipole+monopole
remove_mono : bool, optional
If :const:`True`, remove the monopole
gal_cut : float, scalar, optional
Symmetric galactic cut for the dipole/monopole fit.
Removes points in latitude range [-gal_cut, +gal_cut]
format : str, optional
The format of the scale label. Default: '%g'
format2 : str, optional
Format of the pixel value under mouse. Default: '%g'
cbar : bool, optional
Display the colorbar. Default: True
notext : bool, optional
If True, no text is printed around the map
norm : {'hist', 'log', None}
Color normalization, hist= histogram equalized color mapping,
log= logarithmic color mapping, default: None (linear color mapping)
hold : bool, optional
If True, replace the current Axes by an OrthographicAxes.
use this if you want to have multiple maps on the same
figure. Default: False
sub : int, scalar or sequence, optional
Use only a zone of the current figure (same syntax as subplot).
Default: None
margins : None or sequence, optional
Either None, or a sequence (left,bottom,right,top)
giving the margins on left,bottom,right and top
of the axes. Values are relative to figure (0-1).
Default: None
return_projected_map : bool
if True returns the projected map in a 2d numpy array
See Also
--------
mollcontour, gnomcontour, cartcontour
"""
# Create the figure
import pylab
if not (hold or sub):
f=pylab.figure(fig,figsize=(8.5,5.4))
extent = (0.02,0.05,0.96,0.9)
elif hold:
f=pylab.gcf()
left,bottom,right,top = np.array(f.gca().get_position()).ravel()
extent = (left,bottom,right-left,top-bottom)
f.delaxes(f.gca())
else: # using subplot syntax
f=pylab.gcf()
if hasattr(sub,'__len__'):
nrows, ncols, idx = sub
else:
nrows, ncols, idx = sub/100, (sub%100)/10, (sub%10)
if idx < 1 or idx > ncols*nrows:
raise ValueError('Wrong values for sub: %d, %d, %d'%(nrows,
ncols,
idx))
c,r = (idx-1)%ncols,(idx-1)//ncols
if not margins:
margins = (0.01,0.0,0.0,0.02)
extent = (c*1./ncols+margins[0],
1.-(r+1)*1./nrows+margins[1],
1./ncols-margins[2]-margins[0],
1./nrows-margins[3]-margins[1])
extent = (extent[0]+margins[0],
extent[1]+margins[1],
extent[2]-margins[2]-margins[0],
extent[3]-margins[3]-margins[1])
#extent = (c*1./ncols, 1.-(r+1)*1./nrows,1./ncols,1./nrows)
#f=pylab.figure(fig,figsize=(8.5,5.4))
# Starting to draw : turn interactive off
wasinteractive = pylab.isinteractive()
pylab.ioff()
try:
if map is None:
map = np.zeros(12)+np.inf
cbar=False
ax=HpxOrthographicAxes(f,extent,coord=coord,rot=rot,
format=format2,flipconv=flip)
f.add_axes(ax)
if remove_dip:
map=pixelfunc.remove_dipole(map,gal_cut=gal_cut,
nest=nest,copy=True,
verbose=True)
elif remove_mono:
map=pixelfunc.remove_monopole(map,gal_cut=gal_cut,nest=nest,
copy=True,verbose=True)
if NV is not None:
img, cs = ax.projcontour(map,NV,nest=nest,half_sky=half_sky,
coord=coord,vmin=min,vmax=max,cmap=cmap,
norm=norm)
else:
img, cs = ax.projcontour(map,nest=nest,half_sky=half_sky,
coord=coord,vmin=min,vmax=max,cmap=cmap,
norm=norm)
if cbar:
b = cs.norm.inverse(np.linspace(0,1,cs.cmap.N+1))
v = np.linspace(cs.norm.vmin,cs.norm.vmax,cs.cmap.N)
if matplotlib.__version__ >= '0.91.0':
cb=f.colorbar(cs,ax=ax,
orientation='horizontal',
shrink=0.5,aspect=25,ticks=PA.BoundaryLocator(),
pad=0.05,fraction=0.1,boundaries=b,values=v,
format=format)
else:
# for older matplotlib versions, no ax kwarg
cb=f.colorbar(cs,orientation='horizontal',
shrink=0.5,aspect=25,ticks=PA.BoundaryLocator(),
pad=0.05,fraction=0.1,boundaries=b,values=v,
format=format)
cb.solids.set_rasterized(True)
ax.set_title(title)
if not notext:
ax.text(0.86,0.05,ax.proj.coordsysstr,fontsize=14,
fontweight='bold',transform=ax.transAxes)
if cbar:
cb.ax.text(0.5,-1.0,unit,fontsize=14,
transform=cb.ax.transAxes,ha='center',va='center')
f.sca(ax)
finally:
pylab.draw()
if wasinteractive:
pylab.ion()
#pylab.show()
if return_projected_map:
return img
class SphericalProjAxes(PA.SphericalProjAxes):
def projcontour(self, map, vec2pix_func, *args, **kwds):
"""Projcontour is a wrapper around :func:`matplotlib.Axes.contour` to
take into account the spherical projection.
Notes
-----
Other keywords are transmitted to :func:`matplotlib.Axes.contour`
"""
vmin = kwds.pop('vmin', None)
vmax = kwds.pop('vmax', None)
norm = kwds.pop('norm', None)
rot = kwds.pop('rot', None)
coord = kwds.pop('coord', None)
badval = kwds.pop('badval', hp.UNSEEN)
cmap = kwds.pop('cmap', None)
img = self.proj.projmap(map,vec2pix_func,rot=rot,coord=coord)
w = ~( np.isnan(img) |
np.isinf(img) |
pixelfunc.mask_bad(img, badval = badval) )
try:
if vmin is None: vmin = img[w].min()
except ValueError:
vmin = 0.
try:
if vmax is None: vmax = img[w].max()
except ValueError:
vmax = 0.
if vmin > vmax:
vmin = vmax
if vmin == vmax:
vmin -= 1.
vmax += 1.
cm,nn = PA.get_color_table(vmin,vmax,img[w],cmap=cmap,norm=norm)
ext = self.proj.get_extent()
img = np.ma.masked_values(img, badval)
axcont = self.contour(img, *args, extent = ext, cmap=cm,
norm=nn, origin='lower', vmin=vmin,
vmax=vmax, **kwds)
xmin,xmax,ymin,ymax = self.proj.get_extent()
self.set_xlim(xmin,xmax)
self.set_ylim(ymin,ymax)
return img, axcont
def projcontourf(self, map, vec2pix_func, *args, **kwds):
"""Projcontour is a wrapper around :func:`matplotlib.Axes.contour` to
take into account the spherical projection.
Notes
-----
Other keywords are transmitted to :func:`matplotlib.Axes.contour`
"""
vmin = kwds.pop('vmin', None)
vmax = kwds.pop('vmax', None)
norm = kwds.pop('norm', None)
rot = kwds.pop('rot', None)
coord = kwds.pop('coord', None)
badval = kwds.pop('badval', hp.UNSEEN)
cmap = kwds.pop('cmap', None)
img = self.proj.projmap(map,vec2pix_func,rot=rot,coord=coord)
w = ~( np.isnan(img) |
np.isinf(img) |
pixelfunc.mask_bad(img, badval = badval) )
try:
if vmin is None: vmin = img[w].min()
except ValueError:
vmin = 0.
try:
if vmax is None: vmax = img[w].max()
except ValueError:
vmax = 0.
if vmin > vmax:
vmin = vmax
if vmin == vmax:
vmin -= 1.
vmax += 1.
cm,nn = PA.get_color_table(vmin,vmax,img[w],cmap=cmap,norm=norm)
ext = self.proj.get_extent()
img = np.ma.masked_values(img, badval)
axcont = self.contourf(img, *args, extent = ext, cmap=cm,
norm=nn, origin='lower', vmin=vmin,
vmax=vmax, **kwds)
xmin,xmax,ymin,ymax = self.proj.get_extent()
self.set_xlim(xmin,xmax)
self.set_ylim(ymin,ymax)
return img, axcont
class GnomonicAxes(SphericalProjAxes):
"""Define a gnomonic Axes to handle gnomonic projection.
Input:
- rot=, coord= : define rotation and coordinate system. See rotator.
- coordprec= : number of digit after floating point for coordinates display.
- format= : format string for value display.
Other keywords from Axes (see Axes).
"""
def __init__(self,*args,**kwds):
kwds.setdefault('coordprec',3)
super(GnomonicAxes,self).__init__(P.GnomonicProj, *args,**kwds)
self._do_border = False
self._gratdef['local'] = True
self._gratdef['dpar'] = 1.
def projmap(self,map,vec2pix_func,xsize=200,ysize=None,reso=1.5,**kwds):
self.proj.set_proj_plane_info(xsize=xsize,ysize=ysize,reso=reso)
return super(GnomonicAxes,self).projmap(map,vec2pix_func,**kwds)
def projcontour(self,map,vec2pix_func,*args,**kwds):
xsize = kwds.pop('xsize', 200)
ysize = kwds.pop('ysize', None)
reso = kwds.pop('reso', 1.5)
self.proj.set_proj_plane_info(xsize=xsize,ysize=ysize,reso=reso)
return super(GnomonicAxes,self).projcontour(map,vec2pix_func,*args,**kwds)
def projcontourf(self,map,vec2pix_func,*args,**kwds):
xsize = kwds.pop('xsize', 200)
ysize = kwds.pop('ysize', None)
reso = kwds.pop('reso', 1.5)
self.proj.set_proj_plane_info(xsize=xsize,ysize=ysize,reso=reso)
return super(GnomonicAxes,self).projcontourf(map,vec2pix_func,*args,**kwds)
class HpxGnomonicAxes(GnomonicAxes):
def projmap(self,map,nest=False,**kwds):
nside = pixelfunc.npix2nside(pixelfunc.get_map_size(map))
f = lambda x,y,z: pixelfunc.vec2pix(nside,x,y,z,nest=nest)
xsize = kwds.pop('xsize',200)
ysize = kwds.pop('ysize',None)
reso = kwds.pop('reso',1.5)
return super(HpxGnomonicAxes,self).projmap(map,f,xsize=xsize,
ysize=ysize,reso=reso,**kwds)
def projcontour(self,map,*args,**kwds):
nest = kwds.pop('nest', False)
xsize = kwds.pop('xsize',200)
ysize = kwds.pop('ysize',None)
reso = kwds.pop('reso',1.5)
nside = pixelfunc.npix2nside(pixelfunc.get_map_size(map))
f = lambda x,y,z: pixelfunc.vec2pix(nside,x,y,z,nest=nest)
return super(HpxGnomonicAxes,self).projcontour(map,f,*args,xsize=xsize,