numpy.ma.mask_or — NumPy v1.13 Manual (original) (raw)
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 nomask, return a view of the other input mask. Defaults to False. shrink : bool, optional Whether to shrink the output to nomask if all its values are False. Defaults to True. |
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| Returns: | mask : output mask The result masks values that are masked in either m1 or m2. |
| Raises: | ValueError If m1 and m2 have different flexible dtypes. |
Examples
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)