numpy.ma.getmask

numpy.ma.getmask(a)

Return the mask of a masked array, or nomask.

Return the mask of a as an ndarray if a is a MaskedArray and the mask is not nomask, else return nomask. To guarantee a full array of booleans of the same shape as a, use getmaskarray.

Parameters:

a : array_like

Input MaskedArray for which the mask is required.

See also

getdata

Return the data of a masked array as an ndarray.

getmaskarray

Return the mask of a masked array, or full array of False.

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.getmask(a)
array([[False,  True],
       [False, False]])

Equivalently use the MaskedArray mask attribute.

>>> a.mask
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.nomask
False
>>> ma.getmask(b) == ma.nomask
True
>>> b.mask == ma.nomask
True