ue is used if there are
    multiple. Default is False.

Returns
-------
intersect1d : ndarray
    Sorted 1D array of common and unique elements.
comm1 : ndarray
    The indices of the first occurrences of the common values in `ar1`.
    Only provided if `return_indices` is True.
comm2 : ndarray
    The indices of the first occurrences of the common values in `ar2`.
    Only provided if `return_indices` is True.

Examples
--------
>>> import numpy as np
>>> np.intersect1d([1, 3, 4, 3], [3, 1, 2, 1])
array([1, 3])

To intersect more than two arrays, use functools.reduce:

>>> from functools import reduce
>>> reduce(np.intersect1d, ([1, 3, 4, 3], [3, 1, 2, 1], [6, 3, 4, 2]))
array([3])

To return the indices of the values common to the input arrays
along with the intersected values:

>>> x = np.array([1, 1, 2, 3, 4])
>>> y = np.array([2, 1, 4, 6])
>>> xy, x_ind, y_ind = np.intersect1d(x, y, return_indices=True)
>>> x_ind, y_ind
(array([0, 2, 4]), array([1, 0, 2]))
>>> xy, x[x_ind], y[y_ind]
(array([1, 2, 4]), array([1, 2, 4]), array([1, 2, 4]))

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