本文整理汇总了Python中xray.Dataset.rename方法的典型用法代码示例。如果您正苦于以下问题：Python Dataset.rename方法的具体用法？Python Dataset.rename怎么用？Python Dataset.rename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xray.Dataset的用法示例。
在下文中一共展示了Dataset.rename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_rename_inplace
# 需要导入模块: from xray import Dataset [as 别名]
# 或者: from xray.Dataset import rename [as 别名]
def test_rename_inplace(self):
times = pd.date_range('2000-01-01', periods=3)
data = Dataset({'z': ('x', [2, 3, 4]), 't': ('t', times)})
copied = data.copy()
renamed = data.rename({'x': 'y'})
data.rename({'x': 'y'}, inplace=True)
self.assertDatasetIdentical(data, renamed)
self.assertFalse(data.equals(copied))
self.assertEquals(data.dims, {'y': 3, 't': 3})
# check virtual variables
self.assertArrayEqual(data['t.dayofyear'], [1, 2, 3])示例2: test_weakrefs
# 需要导入模块: from xray import Dataset [as 别名]
# 或者: from xray.Dataset import rename [as 别名]
def test_weakrefs(self):
example = Dataset({'foo': ('x', np.arange(5.0))})
expected = example.rename({'foo': 'bar', 'x': 'y'})
with create_tmp_file() as tmp_file:
example.to_netcdf(tmp_file, engine='scipy')
on_disk = open_dataset(tmp_file, engine='pynio')
actual = on_disk.rename({'foo': 'bar', 'x': 'y'})
del on_disk # trigger garbage collection
self.assertDatasetIdentical(actual, expected)示例3: TestDataArray
# 需要导入模块: from xray import Dataset [as 别名]
# 或者: from xray.Dataset import rename [as 别名]
#.........这里部分代码省略.........
coords={'x': ['a', 'b'], 'y': [-1, -2],
'a': 0, 'z': ('x', [-0.5, 0.5])},
dims=['x', 'y'])
actual = DataArray(expected)
self.assertDataArrayIdentical(expected, actual)
actual = DataArray(expected.values, expected.coords)
self.assertDataArrayIdentical(expected, actual)
expected = Dataset({'foo': ('foo', ['a', 'b'])})['foo']
actual = DataArray(pd.Index(['a', 'b'], name='foo'))
self.assertDataArrayIdentical(expected, actual)
actual = DataArray(Coordinate('foo', ['a', 'b']))
self.assertDataArrayIdentical(expected, actual)
s = pd.Series(range(2), pd.MultiIndex.from_product([['a', 'b'], [0]]))
with self.assertRaisesRegexp(NotImplementedError, 'MultiIndex'):
DataArray(s)
def test_constructor_from_0d(self):
expected = Dataset({None: ([], 0)})[None]
actual = DataArray(0)
self.assertDataArrayIdentical(expected, actual)
def test_equals_and_identical(self):
orig = DataArray(np.arange(5.0), {'a': 42}, dims='x')
expected = orig
actual = orig.copy()
self.assertTrue(expected.equals(actual))
self.assertTrue(expected.identical(actual))
actual = expected.rename('baz')
self.assertTrue(expected.equals(actual))
self.assertFalse(expected.identical(actual))
actual = expected.rename({'x': 'xxx'})
self.assertFalse(expected.equals(actual))
self.assertFalse(expected.identical(actual))
actual = expected.copy()
actual.attrs['foo'] = 'bar'
self.assertTrue(expected.equals(actual))
self.assertFalse(expected.identical(actual))
actual = expected.copy()
actual['x'] = ('x', -np.arange(5))
self.assertFalse(expected.equals(actual))
self.assertFalse(expected.identical(actual))
actual = expected.reset_coords(drop=True)
self.assertFalse(expected.equals(actual))
self.assertFalse(expected.identical(actual))
actual = orig.copy()
actual[0] = np.nan
expected = actual.copy()
self.assertTrue(expected.equals(actual))
self.assertTrue(expected.identical(actual))
actual[:] = np.nan
self.assertFalse(expected.equals(actual))
self.assertFalse(expected.identical(actual))
actual = expected.copy()示例4: TestDataArray
# 需要导入模块: from xray import Dataset [as 别名]
# 或者: from xray.Dataset import rename [as 别名]
#.........这里部分代码省略.........
coords={'x': ['a', 'b'], 'y': [-1, -2],
'a': 0, 'z': ('x', [-0.5, 0.5])},
dims=['x', 'y'])
actual = DataArray(expected)
self.assertDataArrayIdentical(expected, actual)
actual = DataArray(expected.values, expected.coords)
self.assertDataArrayIdentical(expected, actual)
expected = Dataset({'foo': ('foo', ['a', 'b'])})['foo']
actual = DataArray(pd.Index(['a', 'b'], name='foo'))
self.assertDataArrayIdentical(expected, actual)
actual = DataArray(Coordinate('foo', ['a', 'b']))
self.assertDataArrayIdentical(expected, actual)
s = pd.Series(range(2), pd.MultiIndex.from_product([['a', 'b'], [0]]))
with self.assertRaisesRegexp(NotImplementedError, 'MultiIndex'):
DataArray(s)
def test_constructor_from_0d(self):
expected = Dataset({None: ([], 0)})[None]
actual = DataArray(0)
self.assertDataArrayIdentical(expected, actual)
def test_equals_and_identical(self):
orig = DataArray(np.arange(5.0), {'a': 42}, dims='x')
expected = orig
actual = orig.copy()
self.assertTrue(expected.equals(actual))
self.assertTrue(expected.identical(actual))
actual = expected.rename('baz')
self.assertTrue(expected.equals(actual))
self.assertFalse(expected.identical(actual))
actual = expected.rename({'x': 'xxx'})
self.assertFalse(expected.equals(actual))
self.assertFalse(expected.identical(actual))
actual = expected.copy()
actual.attrs['foo'] = 'bar'
self.assertTrue(expected.equals(actual))
self.assertFalse(expected.identical(actual))
actual = expected.copy()
actual['x'] = ('x', -np.arange(5))
self.assertFalse(expected.equals(actual))
self.assertFalse(expected.identical(actual))
actual = expected.reset_coords(drop=True)
self.assertFalse(expected.equals(actual))
self.assertFalse(expected.identical(actual))
actual = orig.copy()
actual[0] = np.nan
expected = actual.copy()
self.assertTrue(expected.equals(actual))
self.assertTrue(expected.identical(actual))
actual[:] = np.nan
self.assertFalse(expected.equals(actual))
self.assertFalse(expected.identical(actual))
actual = expected.copy()示例5: TestDataArray
# 需要导入模块: from xray import Dataset [as 别名]
# 或者: from xray.Dataset import rename [as 别名]
#.........这里部分代码省略.........
def test_constructor_from_self_described(self):
data = [[-0.1, 21], [0, 2]]
expected = DataArray(data,
indexes={'x': ['a', 'b'], 'y': [-1, -2]},
dimensions=['x', 'y'], name='foobar',
attributes={'bar': 2}, encoding={'foo': 3})
actual = DataArray(expected)
self.assertDataArrayIdentical(expected, actual)
frame = pd.DataFrame(data, index=pd.Index(['a', 'b'], name='x'),
columns=pd.Index([-1, -2], name='y'))
actual = DataArray(frame)
self.assertDataArrayEqual(expected, actual)
series = pd.Series(data[0], index=pd.Index([-1, -2], name='y'))
actual = DataArray(series)
self.assertDataArrayEqual(expected[0], actual)
panel = pd.Panel({0: frame})
actual = DataArray(panel)
expected = DataArray([data], expected.coordinates, ['dim_0', 'x', 'y'])
self.assertDataArrayIdentical(expected, actual)
expected = DataArray(['a', 'b'], name='foo')
actual = DataArray(pd.Index(['a', 'b'], name='foo'))
self.assertDataArrayIdentical(expected, actual)
def test_equals_and_identical(self):
da2 = self.dv.copy()
self.assertTrue(self.dv.equals(da2))
self.assertTrue(self.dv.identical(da2))
da3 = self.dv.rename('baz')
self.assertTrue(self.dv.equals(da3))
self.assertFalse(self.dv.identical(da3))
da4 = self.dv.rename({'x': 'xxx'})
self.assertFalse(self.dv.equals(da4))
self.assertFalse(self.dv.identical(da4))
da5 = self.dv.copy()
da5.attrs['foo'] = 'bar'
self.assertTrue(self.dv.equals(da5))
self.assertFalse(self.dv.identical(da5))
da6 = self.dv.copy()
da6['x'] = ('x', -np.arange(10))
self.assertFalse(self.dv.equals(da6))
self.assertFalse(self.dv.identical(da6))
da2[0, 0] = np.nan
self.dv[0, 0] = np.nan
self.assertTrue(self.dv.equals(da2))
self.assertTrue(self.dv.identical(da2))
da2[:] = np.nan
self.assertFalse(self.dv.equals(da2))
self.assertFalse(self.dv.identical(da2))
def test_items(self):
# strings pull out dataarrays
self.assertDataArrayIdentical(self.dv, self.ds['foo'])
x = self.dv['x']
y = self.dv['y']
self.assertDataArrayIdentical(self.ds['x'], x)