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.setxor1dfor more details.See also
numpy.setxor1dEquivalent function for ndarrays.
Examples
>>>importnumpyasnp>>>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)
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