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# Copyright Crown and Cartopy Contributors
#
# This file is part of Cartopy and is released under the BSD 3-clause license.
# See LICENSE in the root of the repository for full licensing details.
import matplotlib.pyplot as plt
import numpy as np
from numpy.testing import assert_array_almost_equal, assert_array_equal
import cartopy.crs as ccrs
def test_extents():
# tests that one can set the extents of a map in a variety of coordinate
# systems, for a variety of projection
uk = [-12.5, 4, 49, 60]
uk_crs = ccrs.Geodetic()
ax = plt.axes(projection=ccrs.PlateCarree(), label='pc')
ax.set_extent(uk, crs=uk_crs)
# enable to see what is going on (and to make sure it is a plot of the uk)
# ax.coastlines()
assert_array_almost_equal(ax.viewLim.get_points(),
np.array([[-12.5, 49.], [4., 60.]]))
ax = plt.axes(projection=ccrs.NorthPolarStereo(), label='npstere')
ax.set_extent(uk, crs=uk_crs)
# enable to see what is going on (and to make sure it is a plot of the uk)
# ax.coastlines()
assert_array_almost_equal(ax.viewLim.get_points(),
np.array([[-1034046.22566261, -4765889.76601514],
[333263.47741164, -3345219.0594531]])
)
# given that we know the PolarStereo coordinates of the UK, try using
# those in a PlateCarree plot
ax = plt.axes(projection=ccrs.PlateCarree(), label='pc')
ax.set_extent([-1034046, 333263, -4765889, -3345219],
crs=ccrs.NorthPolarStereo())
# enable to see what is going on (and to make sure it is a plot of the uk)
# ax.coastlines()
assert_array_almost_equal(ax.viewLim.get_points(),
np.array([[-17.17698577, 48.21879707],
[5.68924381, 60.54218893]])
)
def test_get_extent():
# tests that getting the extents of a map produces something reasonable.
uk = [-12.5, 4, 49, 60]
uk_crs = ccrs.PlateCarree()
ax = plt.axes(projection=ccrs.PlateCarree())
ax.set_extent(uk, crs=uk_crs)
assert_array_almost_equal(ax.get_extent(uk_crs), uk)
ax = plt.axes(projection=ccrs.Mercator())
ax.set_extent(uk, crs=uk_crs)
assert_array_almost_equal(ax.get_extent(uk_crs), uk)
ax = plt.axes(projection=ccrs.Mercator(min_latitude=uk[2],
max_latitude=uk[3]))
ax.set_extent(uk, crs=uk_crs)
assert_array_almost_equal(ax.get_extent(uk_crs), uk, decimal=1)
def test_domain_extents():
# Setting the extent to global or the domain limits.
ax = plt.axes(projection=ccrs.PlateCarree())
ax.set_extent((-180, 180, -90, 90))
assert_array_equal(ax.viewLim.get_points(), [[-180, -90], [180, 90]])
ax.set_extent((-180, 180, -90, 90), ccrs.PlateCarree())
assert_array_equal(ax.viewLim.get_points(), [[-180, -90], [180, 90]])
ax = plt.axes(projection=ccrs.PlateCarree(90))
ax.set_extent((-180, 180, -90, 90))
assert_array_equal(ax.viewLim.get_points(), [[-180, -90], [180, 90]])
ax.set_extent((-180, 180, -90, 90), ccrs.PlateCarree(90))
assert_array_equal(ax.viewLim.get_points(), [[-180, -90], [180, 90]])
ax = plt.axes(projection=ccrs.OSGB(approx=False))
ax.set_extent((0, 7e5, 0, 13e5), ccrs.OSGB(approx=False))
assert_array_equal(ax.viewLim.get_points(), [[0, 0], [7e5, 13e5]])
def test_update_lim():
# check that the standard data lim setting works
ax = plt.axes(projection=ccrs.PlateCarree())
ax.update_datalim([(-10, -10), (-5, -5)])
assert_array_almost_equal(ax.dataLim.get_points(),
np.array([[-10., -10.], [-5., -5.]]))
def test_limits_contour():
xs, ys = np.meshgrid(np.linspace(250, 350, 15), np.linspace(-45, 45, 20))
data = np.sin((xs * ys) * 1.e7)
resulting_extent = np.array([[250 - 180, -45.], [-10. + 180, 45.]])
ax = plt.axes(projection=ccrs.PlateCarree())
ax.coastlines()
ax.contourf(xs, ys, data, transform=ccrs.PlateCarree(180))
assert_array_almost_equal(ax.dataLim, resulting_extent)
plt.figure()
ax = plt.axes(projection=ccrs.PlateCarree())
ax.coastlines()
ax.contour(xs, ys, data, transform=ccrs.PlateCarree(180))
assert_array_almost_equal(ax.dataLim, resulting_extent)
def test_limits_pcolor():
xs, ys = np.meshgrid(np.linspace(250, 350, 15), np.linspace(-45, 45, 20))
data = (np.sin((xs * ys) * 1.e7))[:-1, :-1]
resulting_extent = np.array([[250 - 180, -45.], [-10. + 180, 45.]])
ax = plt.axes(projection=ccrs.PlateCarree())
ax.coastlines()
ax.pcolor(xs, ys, data, transform=ccrs.PlateCarree(180))
assert_array_almost_equal(ax.dataLim, resulting_extent)
plt.figure()
ax = plt.axes(projection=ccrs.PlateCarree())
ax.coastlines()
ax.pcolormesh(xs, ys, data, transform=ccrs.PlateCarree(180))
assert_array_almost_equal(ax.dataLim, resulting_extent)
def test_view_lim_autoscaling():
x = np.linspace(0.12910209, 0.42141822)
y = np.linspace(0.03739792, 0.33029076)
x, y = np.meshgrid(x, y)
ax = plt.axes(projection=ccrs.RotatedPole(37.5, 357.5))
ax.scatter(x, y, x * y, transform=ccrs.PlateCarree())
expected = np.array([[86.12433701, 52.51570463],
[86.69696603, 52.86372057]])
assert_array_almost_equal(ax.viewLim.frozen().get_points(), expected,
decimal=2)
plt.draw()
assert_array_almost_equal(ax.viewLim.frozen().get_points(), expected,
decimal=2)
ax.autoscale_view(tight=False)
expected_non_tight = np.array([[86, 52.45], [86.8, 52.9]])
assert_array_almost_equal(ax.viewLim.frozen().get_points(),
expected_non_tight, decimal=1)
def test_view_lim_default_global(tmp_path):
ax = plt.axes(projection=ccrs.PlateCarree())
# The view lim should be the default unit bbox until it is drawn.
assert_array_almost_equal(ax.viewLim.frozen().get_points(),
[[0, 0], [1, 1]])
plt.savefig(tmp_path / 'view_lim_default_global.png')
expected = np.array([[-180, -90], [180, 90]])
assert_array_almost_equal(ax.viewLim.frozen().get_points(),
expected)
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