numpy.ma.flatnotmasked_edges

ma.flatnotmasked_edges(a)

查找第一个和最后一个未屏蔽值的索引.

需要一维 MaskedArray ,如果所有值都被屏蔽,则返回 None.

参数:

aarray_like

输入一维 MaskedArray

返回:

edgesndarray 或 None

数组中第一个和最后一个非屏蔽值的索引.如果所有值都被屏蔽,则返回 None.

参见

flatnotmasked_contiguous , notmasked_contiguous , notmasked_edges

clump_masked , clump_unmasked

注释

仅接受一维数组.

示例

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>>> import numpy as np
>>> a = np.ma.arange(10)
>>> np.ma.flatnotmasked_edges(a)
array([0, 9])

>>> mask = (a < 3) | (a > 8) | (a == 5)
>>> a[mask] = np.ma.masked
>>> np.array(a[~a.mask])
array([3, 4, 6, 7, 8])

>>> np.ma.flatnotmasked_edges(a)
array([3, 8])

>>> a[:] = np.ma.masked
>>> print(np.ma.flatnotmasked_edges(a))
None

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