numpy.ma.getmaskarray#
- 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 if arr is a
MaskedArray
and the mask is notnomask
, else return a full boolean array of False of the same shape as arr.- Parameters:
- arrarray_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=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]])