numpy.setxor1d#
- 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, ar2array_like
Input arrays.
- assume_uniquebool
If True, the input arrays are both assumed to be unique, which can speed up the calculation. Default is False.
- Returns
- setxor1dndarray
Sorted 1D array of unique values that are in only one of the input arrays.
Examples
>>> 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])