numpy.ma.getmaskarray
-
numpy.ma.getmaskarray(arr)
[source] -
Return the mask of a masked array, or full boolean array of False.
Return the mask of
arr
as an ndarray ifarr
is aMaskedArray
and the mask is notnomask
, else return a full boolean array of False of the same shape asarr
.Parameters: arr : array_like
Input
MaskedArray
for which the mask is required.See also
Examples
>>> import numpy.ma as ma >>> a = ma.masked_equal([[1,2],[3,4]], 2) >>> a masked_array(data = [[1 --] [3 4]], mask = [[False True] [False False]], fill_value=999999) >>> ma.getmaskarray(a) array([[False, True], [False, False]], dtype=bool)
Result when mask ==
nomask
>>> b = ma.masked_array([[1,2],[3,4]]) >>> b masked_array(data = [[1 2] [3 4]], mask = False, fill_value=999999) >>> >ma.getmaskarray(b) array([[False, False], [False, False]], dtype=bool)
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https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.ma.getmaskarray.html