本文整理汇总了Python中xarray.Variable.mean方法的典型用法代码示例。如果您正苦于以下问题：Python Variable.mean方法的具体用法？Python Variable.mean怎么用？Python Variable.mean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.Variable的用法示例。
在下文中一共展示了Variable.mean方法的4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_reduce_funcs
# 需要导入模块: from xarray import Variable [as 别名]
# 或者: from xarray.Variable import mean [as 别名]
def test_reduce_funcs(self):
v = Variable('x', np.array([1, np.nan, 2, 3]))
self.assertVariableIdentical(v.mean(), Variable([], 2))
self.assertVariableIdentical(v.mean(skipna=True), Variable([], 2))
self.assertVariableIdentical(v.mean(skipna=False), Variable([], np.nan))
self.assertVariableIdentical(np.mean(v), Variable([], 2))
self.assertVariableIdentical(v.prod(), Variable([], 6))
self.assertVariableIdentical(v.var(), Variable([], 2.0 / 3))
if LooseVersion(np.__version__) < '1.9':
with self.assertRaises(NotImplementedError):
v.median()
else:
self.assertVariableIdentical(v.median(), Variable([], 2))
v = Variable('x', [True, False, False])
self.assertVariableIdentical(v.any(), Variable([], True))
self.assertVariableIdentical(v.all(dim='x'), Variable([], False))
v = Variable('t', pd.date_range('2000-01-01', periods=3))
with self.assertRaises(NotImplementedError):
v.max(skipna=True)
self.assertVariableIdentical(
v.max(), Variable([], pd.Timestamp('2000-01-03')))示例2: test_reduce
# 需要导入模块: from xarray import Variable [as 别名]
# 或者: from xarray.Variable import mean [as 别名]
def test_reduce(self):
v = Variable(["x", "y"], self.d, {"ignored": "attributes"})
self.assertVariableIdentical(v.reduce(np.std, "x"), Variable(["y"], self.d.std(axis=0)))
self.assertVariableIdentical(v.reduce(np.std, axis=0), v.reduce(np.std, dim="x"))
self.assertVariableIdentical(v.reduce(np.std, ["y", "x"]), Variable([], self.d.std(axis=(0, 1))))
self.assertVariableIdentical(v.reduce(np.std), Variable([], self.d.std()))
self.assertVariableIdentical(
v.reduce(np.mean, "x").reduce(np.std, "y"), Variable([], self.d.mean(axis=0).std())
)
self.assertVariableAllClose(v.mean("x"), v.reduce(np.mean, "x"))
with self.assertRaisesRegexp(ValueError, "cannot supply both"):
v.mean(dim="x", axis=0)示例3: test_reduce_keep_attrs
# 需要导入模块: from xarray import Variable [as 别名]
# 或者: from xarray.Variable import mean [as 别名]
def test_reduce_keep_attrs(self):
_attrs = {'units': 'test', 'long_name': 'testing'}
v = Variable(['x', 'y'], self.d, _attrs)
# Test dropped attrs
vm = v.mean()
self.assertEqual(len(vm.attrs), 0)
self.assertEqual(vm.attrs, OrderedDict())
# Test kept attrs
vm = v.mean(keep_attrs=True)
self.assertEqual(len(vm.attrs), len(_attrs))
self.assertEqual(vm.attrs, _attrs)示例4: test_reduce
# 需要导入模块: from xarray import Variable [as 别名]
# 或者: from xarray.Variable import mean [as 别名]
def test_reduce(self):
v = Variable(['x', 'y'], self.d, {'ignored': 'attributes'})
self.assertVariableIdentical(v.reduce(np.std, 'x'),
Variable(['y'], self.d.std(axis=0)))
self.assertVariableIdentical(v.reduce(np.std, axis=0),
v.reduce(np.std, dim='x'))
self.assertVariableIdentical(v.reduce(np.std, ['y', 'x']),
Variable([], self.d.std(axis=(0, 1))))
self.assertVariableIdentical(v.reduce(np.std),
Variable([], self.d.std()))
self.assertVariableIdentical(
v.reduce(np.mean, 'x').reduce(np.std, 'y'),
Variable([], self.d.mean(axis=0).std()))
self.assertVariableAllClose(v.mean('x'), v.reduce(np.mean, 'x'))
with self.assertRaisesRegexp(ValueError, 'cannot supply both'):
v.mean(dim='x', axis=0)