def test_fail_different_coord_system(self):
# Check error with mismatched coord systems.
cube = sample_2d_latlons(regional=True, rotated=True)
cube.coord(axis='x').coord_system = None
with self.assertRaisesRegexp(ValueError,
'must have same coordinate system'):
gridcell_angles(cube)
def test_fail_different_coord_system(self):
# Check error with mismatched coord systems.
cube = sample_2d_latlons(regional=True, rotated=True)
cube.coord(axis="x").coord_system = None
with self.assertRaisesRegex(ValueError,
"must have same coordinate system"):
gridcell_angles(cube)
def test_2d_discontigous_masked(self):
# Test a 2D coordinate which is discontiguous but masked at
# discontiguities.
cube = sample_2d_latlons()
make_bounds_discontiguous_at_point(cube, 3, 4)
iplt._check_bounds_contiguity_and_mask(cube.coord('longitude'),
cube.data)
def test_2d_plain_latlon_on_polar_map(self):
# Test 2d vector plotting onto a different projection.
u_cube, v_cube = self._latlon_uv_cubes(sample_2d_latlons())
ax = plt.axes(projection=ccrs.NorthPolarStereo())
self.plot('latlon_2d_polar', u_cube, v_cube,
coords=('longitude', 'latitude'))
ax.coastlines(color='red')
self.check_graphic()
def test_2d_plain_latlon_on_polar_map(self):
# Test 2d vector plotting onto a different projection.
u_cube, v_cube = self._latlon_uv_cubes(sample_2d_latlons())
ax = plt.axes(projection=ccrs.NorthPolarStereo())
self.plot('latlon_2d_polar', u_cube, v_cube,
coords=('longitude', 'latitude'))
ax.coastlines(color='red')
self.check_graphic()
def test_2d_plain_latlon(self):
# Test 2d vector plotting with implicit (PlateCarree) coord system.
u_cube, v_cube = self._latlon_uv_cubes(sample_2d_latlons())
ax = plt.axes(projection=ccrs.PlateCarree(central_longitude=180))
self.plot('latlon_2d', u_cube, v_cube,
coords=('longitude', 'latitude'))
ax.coastlines(color='red')
ax.set_global()
self.check_graphic()
def _check_angles_calculation(self, angles_in_degrees=True,
nan_angles_mask=None):
# Check basic maths on a 2d latlon grid.
u_cube = sample_2d_latlons(regional=True, transformed=True)
u_cube.units = 'ms-1'
u_cube.rename('dx')
u_cube.data[...] = 0
v_cube = u_cube.copy()
v_cube.name('dy')
# Define 6 different vectors, repeated in each data row.
in_vu = np.array([(0, 1), (2, -1), (-1, -1), (-3, 1), (2, 0), (0, 0)])
in_angs = np.rad2deg(np.arctan2(in_vu[..., 0], in_vu[..., 1]))
in_mags = np.sqrt(np.sum(in_vu * in_vu, axis=1))
v_cube.data[...] = in_vu[..., 0]
u_cube.data[...] = in_vu[..., 1]
# Define 5 different test rotation angles, one for each data row.
rotation_angles = np.array([0., -45., 135, -140., 90.])
ang_cube_data = np.broadcast_to(rotation_angles[:, None],
u_cube.shape)
ang_cube = u_cube.copy()
if angles_in_degrees:
ang_cube.units = 'degrees'
else:
ang_cube.units = 'radians'
ang_cube_data = np.deg2rad(ang_cube_data)
ang_cube.data[:] = ang_cube_data
if nan_angles_mask is not None:
ang_cube.data[nan_angles_mask] = np.nan
# Rotate all vectors by all the given angles.
result = rotate_grid_vectors(u_cube, v_cube, ang_cube)
out_u, out_v = [cube.data for cube in result]
# Check that vector magnitudes were unchanged.
out_mags = np.sqrt(out_u * out_u + out_v * out_v)
expect_mags = in_mags[None, :]
self.assertArrayAllClose(out_mags, expect_mags)
# Check that vector angles are all as expected.
out_angs = np.rad2deg(np.arctan2(out_v, out_u))
expect_angs = in_angs[None, :] + rotation_angles[:, None]
ang_diffs = out_angs - expect_angs
# Fix for null vectors, and +/-360 differences.
ang_diffs[np.abs(out_mags) < 0.001] = 0.0
ang_diffs = ang_diffs % 360.0
# Check that any differences are very small.
self.assertArrayAllClose(ang_diffs, 0.0)
# Check that results are always masked arrays, masked at NaN angles.
self.assertTrue(np.ma.isMaskedArray(out_u))
self.assertTrue(np.ma.isMaskedArray(out_v))
if nan_angles_mask is not None:
self.assertArrayEqual(out_u.mask, nan_angles_mask)
self.assertArrayEqual(out_v.mask, nan_angles_mask)
def _check_angles_calculation(self,
angles_in_degrees=True,
nan_angles_mask=None):
# Check basic maths on a 2d latlon grid.
u_cube = sample_2d_latlons(regional=True, transformed=True)
u_cube.units = "ms-1"
u_cube.rename("dx")
u_cube.data[...] = 0
v_cube = u_cube.copy()
v_cube.name("dy")
# Define 6 different vectors, repeated in each data row.
in_vu = np.array([(0, 1), (2, -1), (-1, -1), (-3, 1), (2, 0), (0, 0)])
in_angs = np.rad2deg(np.arctan2(in_vu[..., 0], in_vu[..., 1]))
in_mags = np.sqrt(np.sum(in_vu * in_vu, axis=1))
v_cube.data[...] = in_vu[..., 0]
u_cube.data[...] = in_vu[..., 1]
# Define 5 different test rotation angles, one for each data row.
rotation_angles = np.array([0.0, -45.0, 135, -140.0, 90.0])
ang_cube_data = np.broadcast_to(rotation_angles[:, None], u_cube.shape)
ang_cube = u_cube.copy()
if angles_in_degrees:
ang_cube.units = "degrees"
else:
ang_cube.units = "radians"
ang_cube_data = np.deg2rad(ang_cube_data)
ang_cube.data[:] = ang_cube_data
if nan_angles_mask is not None:
ang_cube.data[nan_angles_mask] = np.nan
# Rotate all vectors by all the given angles.
result = rotate_grid_vectors(u_cube, v_cube, ang_cube)
out_u, out_v = [cube.data for cube in result]
# Check that vector magnitudes were unchanged.
out_mags = np.sqrt(out_u * out_u + out_v * out_v)
expect_mags = in_mags[None, :]
self.assertArrayAllClose(out_mags, expect_mags)
# Check that vector angles are all as expected.
out_angs = np.rad2deg(np.arctan2(out_v, out_u))
expect_angs = in_angs[None, :] + rotation_angles[:, None]
ang_diffs = out_angs - expect_angs
# Fix for null vectors, and +/-360 differences.
ang_diffs[np.abs(out_mags) < 0.001] = 0.0
ang_diffs = ang_diffs % 360.0
# Check that any differences are very small.
self.assertArrayAllClose(ang_diffs, 0.0)
# Check that results are always masked arrays, masked at NaN angles.
self.assertTrue(np.ma.isMaskedArray(out_u))
self.assertTrue(np.ma.isMaskedArray(out_v))
if nan_angles_mask is not None:
self.assertArrayEqual(out_u.mask, nan_angles_mask)
self.assertArrayEqual(out_v.mask, nan_angles_mask)
def test_2d_plain_latlon(self):
# Test 2d vector plotting with implicit (PlateCarree) coord system.
u_cube, v_cube = self._latlon_uv_cubes(sample_2d_latlons())
ax = plt.axes(projection=ccrs.PlateCarree(central_longitude=180))
self.plot('latlon_2d', u_cube, v_cube,
coords=('longitude', 'latitude'))
ax.coastlines(color='red')
ax.set_global()
self.check_graphic()
def test_2d_rotated_latlon(self):
# Test plotting vectors in a rotated latlon coord system.
u_cube, v_cube = self._latlon_uv_cubes(
sample_2d_latlons(rotated=True))
ax = plt.axes(projection=ccrs.PlateCarree(central_longitude=180))
self.plot('2d_rotated', u_cube, v_cube,
coords=('longitude', 'latitude'))
ax.coastlines(color='red')
ax.set_global()
self.check_graphic()
def setUp(self):
# Make a small "normal" contiguous-bounded cube to test on.
# This one is regional.
self.standard_regional_cube = sample_2d_latlons(
regional=True, transformed=True)
# Record the standard correct angle answers.
result_cube = gridcell_angles(self.standard_regional_cube)
result_cube.convert_units('degrees')
self.standard_result_cube = result_cube
self.standard_small_cube_results = result_cube.data
def test_2d_rotated_latlon(self):
# Test plotting vectors in a rotated latlon coord system.
u_cube, v_cube = self._latlon_uv_cubes(
sample_2d_latlons(rotated=True))
ax = plt.axes(projection=ccrs.PlateCarree(central_longitude=180))
self.plot('2d_rotated', u_cube, v_cube,
coords=('longitude', 'latitude'))
ax.coastlines(color='red')
ax.set_global()
self.check_graphic()
def test_2d_discontigous_unmasked(self):
# Test a 2D coordinate which is discontiguous and unmasked at
# discontiguities.
cube = sample_2d_latlons()
make_bounds_discontiguous_at_point(cube, 3, 4)
msg = 'coordinate are not contiguous'
cube.data[3, 4] = ma.nomask
with self.assertRaisesRegexp(ValueError, msg):
_check_bounds_contiguity_and_mask(cube.coord('longitude'),
cube.data)
def test_2d_discontigous_unmasked(self):
# Test a 2D coordinate which is discontiguous and unmasked at
# discontiguities.
cube = sample_2d_latlons()
make_bounds_discontiguous_at_point(cube, 3, 4)
msg = 'coordinate are not contiguous'
cube.data[3, 4] = ma.nomask
with self.assertRaisesRegexp(ValueError, msg):
iplt._check_bounds_contiguity_and_mask(cube.coord('longitude'),
cube.data)
def setUp(self):
# Make a small "normal" contiguous-bounded cube to test on.
# This one is regional.
self.standard_regional_cube = sample_2d_latlons(regional=True,
transformed=True)
# Record the standard correct angle answers.
result_cube = gridcell_angles(self.standard_regional_cube)
result_cube.convert_units("degrees")
self.standard_result_cube = result_cube
self.standard_small_cube_results = result_cube.data
def test_2d_plain_latlon_on_polar_map(self):
# Test 2d vector plotting onto a different projection.
u_cube, v_cube = self._latlon_uv_cubes(sample_2d_latlons())
ax = plt.axes(projection=ccrs.NorthPolarStereo())
self.plot("latlon_2d_polar",
u_cube,
v_cube,
coords=("longitude", "latitude"))
ax.coastlines(resolution="110m", color="red")
self.check_graphic()
def test_2d_rotated_latlon(self):
# Test plotting vectors in a rotated latlon coord system.
u_cube, v_cube = self._latlon_uv_cubes(sample_2d_latlons(rotated=True))
ax = plt.axes(projection=ccrs.PlateCarree(central_longitude=180))
self.plot("2d_rotated",
u_cube,
v_cube,
coords=("longitude", "latitude"))
ax.coastlines(resolution="110m", color="red")
ax.set_global()
self.check_graphic()
def test_2d_contiguous_atol(self):
# Check the atol is passed correctly.
cube = sample_2d_latlons()
with mock.patch('iris.coords.Coord._discontiguity_in_bounds'
) as discontiguity_check:
# Discontiguity returns two objects that are unpacked in
# `_check_bounds_contiguity_and_mask`.
discontiguity_check.return_value = [True, None]
_check_bounds_contiguity_and_mask(cube.coord('longitude'),
cube.data, atol=1e-3)
discontiguity_check.assert_called_with(atol=1e-3)
def test_2d_plain_latlon(self):
# Test 2d vector plotting with implicit (PlateCarree) coord system.
u_cube, v_cube = self._latlon_uv_cubes(sample_2d_latlons())
ax = plt.axes(projection=ccrs.PlateCarree(central_longitude=180))
self.plot("latlon_2d",
u_cube,
v_cube,
coords=("longitude", "latitude"))
ax.coastlines(resolution="110m", color="red")
ax.set_global()
self.check_graphic()
def test_fail_unsupported_coord_system(self):
# Test plotting vectors in a rotated latlon coord system.
u_cube, v_cube = self._latlon_uv_cubes(sample_2d_latlons())
patch_coord_system = Mercator()
for cube in u_cube, v_cube:
for coord in cube.coords():
coord.coord_system = patch_coord_system
re_msg = ('Can only plot .* lat-lon projection, .* '
'This .* translates as Cartopy.*Mercator')
with self.assertRaisesRegexp(ValueError, re_msg):
self.plot('2d_rotated', u_cube, v_cube,
coords=('longitude', 'latitude'))
def test_2d_contiguous_atol(self):
# Check the atol is passed correctly.
cube = sample_2d_latlons()
with mock.patch('iris.coords.Coord._discontiguity_in_bounds'
) as discontiguity_check:
# Discontiguity returns two objects that are unpacked in
# `_check_bounds_contiguity_and_mask`.
discontiguity_check.return_value = [True, None]
iplt._check_bounds_contiguity_and_mask(cube.coord('longitude'),
cube.data,
atol=1e-3)
discontiguity_check.assert_called_with(atol=1e-3)
def test_fail_unsupported_coord_system(self):
# Test plotting vectors in a rotated latlon coord system.
u_cube, v_cube = self._latlon_uv_cubes(sample_2d_latlons())
patch_coord_system = Mercator()
for cube in u_cube, v_cube:
for coord in cube.coords():
coord.coord_system = patch_coord_system
re_msg = ('Can only plot .* lat-lon projection, .* '
'This .* translates as Cartopy.*Mercator')
with self.assertRaisesRegexp(ValueError, re_msg):
self.plot('2d_rotated', u_cube, v_cube,
coords=('longitude', 'latitude'))
def test_fail_unsupported_coord_system(self):
# Test plotting vectors in a rotated latlon coord system.
u_cube, v_cube = self._latlon_uv_cubes(sample_2d_latlons())
patch_coord_system = Mercator()
for cube in u_cube, v_cube:
for coord in cube.coords():
coord.coord_system = patch_coord_system
re_msg = (r"Can only plot .* lat-lon projection, .* "
r"This .* translates as Cartopy \+proj=merc .*")
with self.assertRaisesRegex(ValueError, re_msg):
self.plot("2d_rotated",
u_cube,
v_cube,
coords=("longitude", "latitude"))
def test_nonlatlon_coord_system(self):
# Check with points specified in an unexpected coord system.
cube = sample_2d_latlons(regional=True, rotated=True)
result = gridcell_angles(cube)
self.assertArrayAllClose(result.data, self.standard_small_cube_results)
# Check that the result has transformed (true-latlon) coordinates.
self.assertEqual(len(result.coords()), 2)
x_coord = result.coord(axis="x")
y_coord = result.coord(axis="y")
self.assertEqual(x_coord.shape, cube.shape)
self.assertEqual(y_coord.shape, cube.shape)
self.assertIsNotNone(cube.coord_system)
self.assertIsNone(x_coord.coord_system)
self.assertIsNone(y_coord.coord_system)
def test_nonlatlon_coord_system(self):
# Check with points specified in an unexpected coord system.
cube = sample_2d_latlons(regional=True, rotated=True)
result = gridcell_angles(cube)
self.assertArrayAllClose(result.data,
self.standard_small_cube_results)
# Check that the result has transformed (true-latlon) coordinates.
self.assertEqual(len(result.coords()), 2)
x_coord = result.coord(axis='x')
y_coord = result.coord(axis='y')
self.assertEqual(x_coord.shape, cube.shape)
self.assertEqual(y_coord.shape, cube.shape)
self.assertIsNotNone(cube.coord_system)
self.assertIsNone(x_coord.coord_system)
self.assertIsNone(y_coord.coord_system)
def test_unbounded_global(self):
# For a contiguous global grid, a result based on points, i.e. with the
# bounds removed, should be a reasonable match for the 'ideal' one
# based on the bounds.
# Make a global cube + calculate ideal bounds-based results.
global_cube = sample_2d_latlons(transformed=True)
result_cube = gridcell_angles(global_cube)
result_cube.convert_units("degrees")
global_cube_results = result_cube.data
# Check a points-based calculation on the same basic grid.
co_x, co_y = (global_cube.coord(axis=ax) for ax in ("x", "y"))
for coord in (co_x, co_y):
coord.bounds = None
result = gridcell_angles(co_x, co_y)
# In this case, the match is actually rather poor (!).
self.assertArrayAllClose(result.data, global_cube_results, atol=7.5)
# Leaving off first + last columns again gives a decent result.
self.assertArrayAllClose(result.data[:, 1:-1],
global_cube_results[:, 1:-1])
def test_angles_from_grid(self):
# Check it will gets angles from 'u_cube', and pass any kwargs on to
# the angles routine.
u_cube = sample_2d_latlons(regional=True, transformed=True)
u_cube = u_cube[:2, :3]
u_cube.units = 'ms-1'
u_cube.rename('dx')
u_cube.data[...] = 1.0
v_cube = u_cube.copy()
v_cube.name('dy')
v_cube.data[...] = 0.0
# Setup a fake angles result from the inner call to 'gridcell_angles'.
angles_result_data = np.array([[0.0, 90.0, 180.0],
[-180.0, -90.0, 270.0]])
angles_result_cube = Cube(angles_result_data, units='degrees')
angles_kwargs = {'this': 2}
angles_call_patch = self.patch(
'iris.analysis._grid_angles.gridcell_angles',
Mock(return_value=angles_result_cube))
# Call the routine.
result = rotate_grid_vectors(u_cube, v_cube,
grid_angles_kwargs=angles_kwargs)
self.assertEqual(angles_call_patch.call_args_list,
[mock_call(u_cube, this=2)])
out_u, out_v = [cube.data for cube in result]
# Records what results should be for the various n*90deg rotations.
expect_u = np.array([[1.0, 0.0, -1.0],
[-1.0, 0.0, 0.0]])
expect_v = np.array([[0.0, 1.0, 0.0],
[0.0, -1.0, -1.0]])
# Check results are as expected.
self.assertArrayAllClose(out_u, expect_u)
self.assertArrayAllClose(out_v, expect_v)
def test_angles_from_grid(self):
# Check it will gets angles from 'u_cube', and pass any kwargs on to
# the angles routine.
u_cube = sample_2d_latlons(regional=True, transformed=True)
u_cube = u_cube[:2, :3]
u_cube.units = "ms-1"
u_cube.rename("dx")
u_cube.data[...] = 1.0
v_cube = u_cube.copy()
v_cube.name("dy")
v_cube.data[...] = 0.0
# Setup a fake angles result from the inner call to 'gridcell_angles'.
angles_result_data = np.array([[0.0, 90.0, 180.0],
[-180.0, -90.0, 270.0]])
angles_result_cube = Cube(angles_result_data, units="degrees")
angles_kwargs = {"this": 2}
angles_call_patch = self.patch(
"iris.analysis._grid_angles.gridcell_angles",
Mock(return_value=angles_result_cube),
)
# Call the routine.
result = rotate_grid_vectors(u_cube,
v_cube,
grid_angles_kwargs=angles_kwargs)
self.assertEqual(angles_call_patch.call_args_list,
[mock_call(u_cube, this=2)])
out_u, out_v = [cube.data for cube in result]
# Records what results should be for the various n*90deg rotations.
expect_u = np.array([[1.0, 0.0, -1.0], [-1.0, 0.0, 0.0]])
expect_v = np.array([[0.0, 1.0, 0.0], [0.0, -1.0, -1.0]])
# Check results are as expected.
self.assertArrayAllClose(out_u, expect_u)
self.assertArrayAllClose(out_v, expect_v)
def test_unbounded_global(self):
# For a contiguous global grid, a result based on points, i.e. with the
# bounds removed, should be a reasonable match for the 'ideal' one
# based on the bounds.
# Make a global cube + calculate ideal bounds-based results.
global_cube = sample_2d_latlons(transformed=True)
result_cube = gridcell_angles(global_cube)
result_cube.convert_units('degrees')
global_cube_results = result_cube.data
# Check a points-based calculation on the same basic grid.
co_x, co_y = (global_cube.coord(axis=ax)
for ax in ('x', 'y'))
for coord in (co_x, co_y):
coord.bounds = None
result = gridcell_angles(co_x, co_y)
# In this case, the match is actually rather poor (!).
self.assertArrayAllClose(result.data,
global_cube_results,
atol=7.5)
# Leaving off first + last columns again gives a decent result.
self.assertArrayAllClose(result.data[:, 1:-1],
global_cube_results[:, 1:-1])
def test_2d_contiguous(self):
# Test that a 2D coordinate which is contiguous does not throw
# an error.
cube = sample_2d_latlons()
_check_bounds_contiguity_and_mask(cube.coord('longitude'), cube.data)
def test_2d_discontigous_masked(self):
# Test that a 2D coordinate which is discontiguous but masked at
# discontiguities doesn't error.
cube = sample_2d_latlons()
make_bounds_discontiguous_at_point(cube, 3, 4)
_check_bounds_contiguity_and_mask(cube.coord('longitude'), cube.data)
def test_2d_contiguous(self):
# Test a 2D coordinate which is contiguous.
cube = sample_2d_latlons()
iplt._check_bounds_contiguity_and_mask(cube.coord('longitude'),
cube.data)
def full2d_global():
return sample_2d_latlons(transformed=True)
def test_2d_discontigous_masked(self):
# Test that a 2D coordinate which is discontiguous but masked at
# discontiguities doesn't error.
cube = sample_2d_latlons()
make_bounds_discontiguous_at_point(cube, 3, 4)
_check_bounds_contiguity_and_mask(cube.coord("longitude"), cube.data)
def full2d_global():
return sample_2d_latlons(transformed=True)
def test_2d_contiguous(self):
# Test that a 2D coordinate which is contiguous does not throw
# an error.
cube = sample_2d_latlons()
_check_bounds_contiguity_and_mask(cube.coord("longitude"), cube.data)
