numpy.setxor1d(ar1, ar2, assume_unique=False)[source]
Find the set exclusive-or of two arrays.
Return the sorted, unique values that are in only one (not both) of the input arrays.
Parameters: |
ar1, ar2 : array_like Input arrays. assume_unique : bool If True, the input arrays are both assumed to be unique, which can speed up the calculation. Default is False. |
---|---|
Returns: |
setxor1d : ndarray Sorted 1D array of unique values that are in only one of the input arrays. |
>>> a = np.array([1, 2, 3, 2, 4]) >>> b = np.array([2, 3, 5, 7, 5]) >>> np.setxor1d(a,b) array([1, 4, 5, 7])
© 2008–2016 NumPy Developers
Licensed under the NumPy License.
https://docs.scipy.org/doc/numpy-1.11.0/reference/generated/numpy.setxor1d.html