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# numpy.setxor1d

`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, 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.

  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])