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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
arras an ndarray ifarris aMaskedArrayand the mask is notnomask, else return a full boolean array of False of the same shape asarr.Parameters: -
arr : array_like -
Input
MaskedArrayfor 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=2) >>> ma.getmaskarray(a) array([[False, True], [False, False]])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]]) -
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https://docs.scipy.org/doc/numpy-1.17.0/reference/generated/numpy.ma.getmaskarray.html