xorbits.numpy.setxor1d#
- xorbits.numpy.setxor1d(ar1, ar2, assume_unique=False)#
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 (array_like) – Input arrays.
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 – Sorted 1D array of unique values that are in only one of the input arrays.
- Return type
ndarray
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])
Warning
This method has not been implemented yet. Xorbits will try to execute it with numpy.
This docstring was copied from numpy.