numpy.ma.mask_or(m1, m2, copy=False, shrink=True)
[source]
Combine two masks with the logical_or
operator.
The result may be a view on m1
or m2
if the other is nomask
(i.e. False).
Parameters: |
m1, m2 : array_like Input masks. copy : bool, optional If copy is False and one of the inputs is shrink : bool, optional Whether to shrink the output to |
---|---|
Returns: |
mask : output mask The result masks values that are masked in either |
Raises: |
ValueError If |
>>> m1 = np.ma.make_mask([0, 1, 1, 0]) >>> m2 = np.ma.make_mask([1, 0, 0, 0]) >>> np.ma.mask_or(m1, m2) array([ True, True, True, False], dtype=bool)
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https://docs.scipy.org/doc/numpy-1.12.0/reference/generated/numpy.ma.mask_or.html