numpy.ma.setxor1d#
- ma.setxor1d(ar1, ar2, assume_unique=False)[source]#
Set exclusive-or of 1-D arrays with unique elements.
The output is always a masked array. See
numpy.setxor1d
for more details.See also
numpy.setxor1d
Equivalent function for ndarrays.
Examples
>>> ar1 = np.ma.array([1, 2, 3, 2, 4]) >>> ar2 = np.ma.array([2, 3, 5, 7, 5]) >>> np.ma.setxor1d(ar1, ar2) masked_array(data=[1, 4, 5, 7], mask=False, fill_value=999999)