/
func_14carr.py
108 lines (95 loc) · 4.48 KB
/
func_14carr.py
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from netCDF4 import Dataset
import requests
from lxml import etree
import numpy as np
import matplotlib.pyplot as plt
import ipywidgets as widget
from IPython.display import display
global loadedfiles
loadedfiles = [[],[]]
def plot_func(variable, rootgrp, vector):
# Figure size
fig_xsize = 15
fig_ysize = 10
font_size = 25
fig = plt.figure(num=0, figsize=(fig_xsize, fig_ysize), dpi=60,
facecolor='w', edgecolor='w')
plt.rcParams.update({'font.size': font_size})
plt.gca().set_aspect('equal')
#axis names
xaxis_name = 'i'
yaxis_name = 'j'
plt.xlabel(xaxis_name)
plt.ylabel(yaxis_name)
contourcolor = plt.cm.coolwarm
xlin = np.linspace(0, len(rootgrp.variables['coord_x'])-1, len(rootgrp.variables['coord_x']))
ylin = np.linspace(0, len(rootgrp.variables['coord_y'])-1, len(rootgrp.variables['coord_y']))
x, y = np.meshgrid(xlin, ylin)
if variable == 'norm':
norm = np.sqrt(rootgrp.variables['U'][:, :]**2 +
rootgrp.variables['V'][:, :]**2)
mycontour = plt.contourf(norm, 50, cmap=contourcolor)
cbar = plt.colorbar(mycontour)
cbar.ax.set_ylabel('norm (m/s)')
else:
varplot = rootgrp.variables[variable][:, :]
mycontour = plt.contourf(varplot, 50, cmap=contourcolor)
cbar = plt.colorbar(mycontour)
cbar.ax.set_ylabel(rootgrp.variables[variable].name)
# " (" + rootgrp.variables[variable].units + ")")
if vector:
plt.quiver(x, y, rootgrp.variables['U'][:, :],
rootgrp.variables['V'][:, :])
def get_folders(base_url):
catalog_file = requests.get(base_url + 'catalog.xml')
tree = etree.fromstring(catalog_file.content)
folders = []
for children in tree[2]:
if not '.' in children.get('name'):
folders.append(children.get('name'))
return folders
def create_plot():
base_url = 'http://servdap.legi.grenoble-inp.fr:80/opendap/coriolis/14CARR/ESTUARY3_160714/'
folders = get_folders(base_url)
interactive_plot = widget.interactive(g,
folder=widget.Select(options=folders,
description='Select a folder',
value='ESTUARY3a'
),
file=widget.IntText(value=1,
description='Select a file number:',
),
variable=widget.ToggleButtons(options=['U', 'V', 'norm'],
description='Variable:',
disabled=False,
button_style='',
),
vector=widget.Checkbox(value=False,
description='Display vectors',
disabled=False
),
);
output = interactive_plot.children[-1]
output.layout.height = '800px'
display(interactive_plot)
def g(folder, file, variable, vector):
url_base = 'http://servdap.legi.grenoble-inp.fr:80/opendap/coriolis/14CARR/ESTUARY3_160714/' + folder + '/Dalsa2.civ4.mproj/'
catalog_file = requests.get(url_base + 'catalog.xml')
tree = etree.fromstring(catalog_file.content)
files = []
for children in tree[2]:
if '.nc' in children.get("name"):
files.append(children.get("name"))
print(str(len(files)) + ' files in folder ' + folder)
if file > len(files):
print('No file with number' + str(file))
else:
if files[file-1] in loadedfiles[0]:
rootgrp = loadedfiles[1][loadedfiles[0].index(files[file-1])]
else:
url = url_base + files[files.index("img_" + str(file) + ".nc")]
rootgrp = Dataset(url)
loadedfiles[0].append(files[file-1])
loadedfiles[1].append(rootgrp)
plot_func(variable, rootgrp, vector)
plt.show()