numpy.ma.getmask — NumPy v1.15 Manual (original) (raw)
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. |
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See also
Return the data of a masked array as an ndarray.
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