本文整理汇总了Python中xarray.DataArray.isel方法的典型用法代码示例。如果您正苦于以下问题：Python DataArray.isel方法的具体用法？Python DataArray.isel怎么用？Python DataArray.isel使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类xarray.DataArray的用法示例。
在下文中一共展示了DataArray.isel方法的5个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_cftime_datetime_mean
# 需要导入模块: from xarray import DataArray [as 别名]
# 或者: from xarray.DataArray import isel [as 别名]
def test_cftime_datetime_mean():
times = cftime_range('2000', periods=4)
da = DataArray(times, dims=['time'])
assert da.isel(time=0).mean() == da.isel(time=0)
expected = DataArray(times.date_type(2000, 1, 2, 12))
result = da.mean()
assert_equal(result, expected)
da_2d = DataArray(times.values.reshape(2, 2))
result = da_2d.mean()
assert_equal(result, expected)示例2: test_default_title
# 需要导入模块: from xarray import DataArray [as 别名]
# 或者: from xarray.DataArray import isel [as 别名]
def test_default_title(self):
a = DataArray(easy_array((4, 3, 2)), dims=['a', 'b', 'c'])
a.coords['c'] = [0, 1]
a.coords['d'] = u'foo'
self.plotfunc(a.isel(c=1))
title = plt.gca().get_title()
self.assertTrue('c = 1, d = foo' == title or 'd = foo, c = 1' == title)示例3: TestFacetGrid
# 需要导入模块: from xarray import DataArray [as 别名]
# 或者: from xarray.DataArray import isel [as 别名]
class TestFacetGrid(PlotTestCase):
def setUp(self):
d = easy_array((10, 15, 3))
self.darray = DataArray(d, dims=["y", "x", "z"], coords={"z": ["a", "b", "c"]})
self.g = xplt.FacetGrid(self.darray, col="z")
def test_no_args(self):
self.g.map_dataarray(xplt.contourf, "x", "y")
# Don't want colorbar labeled with 'None'
alltxt = text_in_fig()
self.assertNotIn("None", alltxt)
for ax in self.g.axes.flat:
self.assertTrue(ax.has_data())
# default font size should be small
fontsize = ax.title.get_size()
self.assertLessEqual(fontsize, 12)
def test_names_appear_somewhere(self):
self.darray.name = "testvar"
self.g.map_dataarray(xplt.contourf, "x", "y")
for k, ax in zip("abc", self.g.axes.flat):
self.assertEqual("z = {0}".format(k), ax.get_title())
alltxt = text_in_fig()
self.assertIn(self.darray.name, alltxt)
for label in ["x", "y"]:
self.assertIn(label, alltxt)
def test_text_not_super_long(self):
self.darray.coords["z"] = [100 * letter for letter in "abc"]
g = xplt.FacetGrid(self.darray, col="z")
g.map_dataarray(xplt.contour, "x", "y")
alltxt = text_in_fig()
maxlen = max(len(txt) for txt in alltxt)
self.assertLess(maxlen, 50)
t0 = g.axes[0, 0].get_title()
self.assertTrue(t0.endswith("..."))
def test_colorbar(self):
vmin = self.darray.values.min()
vmax = self.darray.values.max()
expected = np.array((vmin, vmax))
self.g.map_dataarray(xplt.imshow, "x", "y")
for image in plt.gcf().findobj(mpl.image.AxesImage):
clim = np.array(image.get_clim())
self.assertTrue(np.allclose(expected, clim))
self.assertEqual(1, len(find_possible_colorbars()))
def test_empty_cell(self):
g = xplt.FacetGrid(self.darray, col="z", col_wrap=2)
g.map_dataarray(xplt.imshow, "x", "y")
bottomright = g.axes[-1, -1]
self.assertFalse(bottomright.has_data())
self.assertFalse(bottomright.get_visible())
def test_norow_nocol_error(self):
with self.assertRaisesRegexp(ValueError, r"[Rr]ow"):
xplt.FacetGrid(self.darray)
def test_groups(self):
self.g.map_dataarray(xplt.imshow, "x", "y")
upperleft_dict = self.g.name_dicts[0, 0]
upperleft_array = self.darray.loc[upperleft_dict]
z0 = self.darray.isel(z=0)
self.assertDataArrayEqual(upperleft_array, z0)
def test_float_index(self):
self.darray.coords["z"] = [0.1, 0.2, 0.4]
g = xplt.FacetGrid(self.darray, col="z")
g.map_dataarray(xplt.imshow, "x", "y")
def test_nonunique_index_error(self):
self.darray.coords["z"] = [0.1, 0.2, 0.2]
with self.assertRaisesRegexp(ValueError, r"[Uu]nique"):
xplt.FacetGrid(self.darray, col="z")
def test_robust(self):
z = np.zeros((20, 20, 2))
darray = DataArray(z, dims=["y", "x", "z"])
darray[:, :, 1] = 1
darray[2, 0, 0] = -1000
darray[3, 0, 0] = 1000
g = xplt.FacetGrid(darray, col="z")
g.map_dataarray(xplt.imshow, "x", "y", robust=True)
# Color limits should be 0, 1
# The largest number displayed in the figure should be less than 21
numbers = set()
alltxt = text_in_fig()
for txt in alltxt:
try:
#.........这里部分代码省略.........
示例4: test_default_title
# 需要导入模块: from xarray import DataArray [as 别名]
# 或者: from xarray.DataArray import isel [as 别名]
def test_default_title(self):
a = DataArray(easy_array((4, 3, 2)), dims=["a", "b", "c"])
a.coords["d"] = u"foo"
self.plotfunc(a.isel(c=1))
title = plt.gca().get_title()
self.assertTrue("c = 1, d = foo" == title or "d = foo, c = 1" == title)示例5: TestFacetGrid
# 需要导入模块: from xarray import DataArray [as 别名]
# 或者: from xarray.DataArray import isel [as 别名]
class TestFacetGrid(PlotTestCase):
def setUp(self):
d = easy_array((10, 15, 3))
self.darray = DataArray(d, dims=['y', 'x', 'z'],
coords={'z': ['a', 'b', 'c']})
self.g = xplt.FacetGrid(self.darray, col='z')
@pytest.mark.slow
def test_no_args(self):
self.g.map_dataarray(xplt.contourf, 'x', 'y')
# Don't want colorbar labeled with 'None'
alltxt = text_in_fig()
self.assertNotIn('None', alltxt)
for ax in self.g.axes.flat:
self.assertTrue(ax.has_data())
# default font size should be small
fontsize = ax.title.get_size()
self.assertLessEqual(fontsize, 12)
@pytest.mark.slow
def test_names_appear_somewhere(self):
self.darray.name = 'testvar'
self.g.map_dataarray(xplt.contourf, 'x', 'y')
for k, ax in zip('abc', self.g.axes.flat):
self.assertEqual('z = {0}'.format(k), ax.get_title())
alltxt = text_in_fig()
self.assertIn(self.darray.name, alltxt)
for label in ['x', 'y']:
self.assertIn(label, alltxt)
@pytest.mark.slow
def test_text_not_super_long(self):
self.darray.coords['z'] = [100 * letter for letter in 'abc']
g = xplt.FacetGrid(self.darray, col='z')
g.map_dataarray(xplt.contour, 'x', 'y')
alltxt = text_in_fig()
maxlen = max(len(txt) for txt in alltxt)
self.assertLess(maxlen, 50)
t0 = g.axes[0, 0].get_title()
self.assertTrue(t0.endswith('...'))
@pytest.mark.slow
def test_colorbar(self):
vmin = self.darray.values.min()
vmax = self.darray.values.max()
expected = np.array((vmin, vmax))
self.g.map_dataarray(xplt.imshow, 'x', 'y')
for image in plt.gcf().findobj(mpl.image.AxesImage):
clim = np.array(image.get_clim())
self.assertTrue(np.allclose(expected, clim))
self.assertEqual(1, len(find_possible_colorbars()))
@pytest.mark.slow
def test_empty_cell(self):
g = xplt.FacetGrid(self.darray, col='z', col_wrap=2)
g.map_dataarray(xplt.imshow, 'x', 'y')
bottomright = g.axes[-1, -1]
self.assertFalse(bottomright.has_data())
self.assertFalse(bottomright.get_visible())
@pytest.mark.slow
def test_norow_nocol_error(self):
with self.assertRaisesRegexp(ValueError, r'[Rr]ow'):
xplt.FacetGrid(self.darray)
@pytest.mark.slow
def test_groups(self):
self.g.map_dataarray(xplt.imshow, 'x', 'y')
upperleft_dict = self.g.name_dicts[0, 0]
upperleft_array = self.darray.loc[upperleft_dict]
z0 = self.darray.isel(z=0)
self.assertDataArrayEqual(upperleft_array, z0)
@pytest.mark.slow
def test_float_index(self):
self.darray.coords['z'] = [0.1, 0.2, 0.4]
g = xplt.FacetGrid(self.darray, col='z')
g.map_dataarray(xplt.imshow, 'x', 'y')
@pytest.mark.slow
def test_nonunique_index_error(self):
self.darray.coords['z'] = [0.1, 0.2, 0.2]
with self.assertRaisesRegexp(ValueError, r'[Uu]nique'):
xplt.FacetGrid(self.darray, col='z')
@pytest.mark.slow
def test_robust(self):
z = np.zeros((20, 20, 2))
darray = DataArray(z, dims=['y', 'x', 'z'])
#.........这里部分代码省略.........