本文整理汇总了Python中numpy.ma.core.MaskedArrayFutureWarning方法的典型用法代码示例。如果您正苦于以下问题：Python core.MaskedArrayFutureWarning方法的具体用法？Python core.MaskedArrayFutureWarning怎么用？Python core.MaskedArrayFutureWarning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numpy.ma.core的用法示例。
在下文中一共展示了core.MaskedArrayFutureWarning方法的2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_base
# 需要导入模块: from numpy.ma import core [as 别名]
# 或者: from numpy.ma.core import MaskedArrayFutureWarning [as 别名]
def _test_base(self, argsort, cls):
arr_0d = np.array(1).view(cls)
argsort(arr_0d)
arr_1d = np.array([1, 2, 3]).view(cls)
argsort(arr_1d)
# argsort has a bad default for >1d arrays
arr_2d = np.array([[1, 2], [3, 4]]).view(cls)
result = assert_warns(
np.ma.core.MaskedArrayFutureWarning, argsort, arr_2d)
assert_equal(result, argsort(arr_2d, axis=None))
# should be no warnings for explicitly specifying it
argsort(arr_2d, axis=None)
argsort(arr_2d, axis=-1) 示例2: test_axis_default
# 需要导入模块: from numpy.ma import core [as 别名]
# 或者: from numpy.ma.core import MaskedArrayFutureWarning [as 别名]
def test_axis_default(self):
# NumPy 1.13, 2017-05-06
data1d = np.ma.arange(6)
data2d = data1d.reshape(2, 3)
ma_min = np.ma.minimum.reduce
ma_max = np.ma.maximum.reduce
# check that the default axis is still None, but warns on 2d arrays
result = assert_warns(MaskedArrayFutureWarning, ma_max, data2d)
assert_equal(result, ma_max(data2d, axis=None))
result = assert_warns(MaskedArrayFutureWarning, ma_min, data2d)
assert_equal(result, ma_min(data2d, axis=None))
# no warnings on 1d, as both new and old defaults are equivalent
result = ma_min(data1d)
assert_equal(result, ma_min(data1d, axis=None))
assert_equal(result, ma_min(data1d, axis=0))
result = ma_max(data1d)
assert_equal(result, ma_max(data1d, axis=None))
assert_equal(result, ma_max(data1d, axis=0))