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# numpy.ma.getmaskarray

`numpy.ma.``getmaskarray`(arr)

  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 not `nomask`, else return a full boolean array of False of the same shape as arr.

  Parameters : | arr : array_like Input `MaskedArray` for which the mask is required.

  See also

  `getmask`
    Return the mask of a masked array, or nomask.
  `getdata`
    Return the data of a masked array as an ndarray.

  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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