Repository URL to install this package:
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Version:
0.19.0.post1 ▾
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# Copyright Cartopy Contributors
#
# This file is part of Cartopy and is released under the LGPL license.
# See COPYING and COPYING.LESSER in the root of the repository for full
# licensing details.
import io
from unittest import mock
import matplotlib.pyplot as plt
import numpy as np
import cartopy.crs as ccrs
def test_pcolormesh_partially_masked():
data = np.ma.masked_all((30, 40))
data[0:100] = 10
# Check that a partially masked data array does trigger a pcolor call.
with mock.patch('cartopy.mpl.geoaxes.GeoAxes.pcolor') as pcolor:
ax = plt.axes(projection=ccrs.PlateCarree())
ax.pcolormesh(np.linspace(-90, 90, 40), np.linspace(0, 360, 30), data)
assert pcolor.call_count == 1, ("pcolor should have been called "
"exactly once.")
plt.close()
def test_pcolormesh_invisible():
data = np.zeros((3, 3))
# Check that a fully invisible mesh doesn't fail.
with mock.patch('cartopy.mpl.geoaxes.GeoAxes.pcolor') as pcolor:
ax = plt.axes(projection=ccrs.Orthographic())
ax.pcolormesh(np.linspace(-75, 75, 3), np.linspace(105, 255, 3), data,
transform=ccrs.PlateCarree())
assert pcolor.call_count == 0, ("pcolor shouldn't have been called, "
"but was.")
plt.close()
def test_savefig_tight():
nx, ny = 36, 18
xbnds = np.linspace(0, 360, nx, endpoint=True)
ybnds = np.linspace(-90, 90, ny, endpoint=True)
x, y = np.meshgrid(xbnds, ybnds)
data = np.exp(np.sin(np.deg2rad(x)) + np.cos(np.deg2rad(y)))
data = data[:-1, :-1]
plt.subplot(211, projection=ccrs.Robinson())
plt.pcolormesh(xbnds, ybnds, data, transform=ccrs.PlateCarree())
buf = io.BytesIO()
plt.savefig(buf, format='png', bbox_inches='tight')
plt.close()