numpy.union1d

numpy.union1d(ar1, ar2) [source]

Find the union of two arrays.

Return the unique, sorted array of values that are in either of the two input arrays.

Parameters:	ar1, ar2 : array_like Input arrays. They are flattened if they are not already 1D.
Returns:	union1d : ndarray Unique, sorted union of the input arrays.

See also

numpy.lib.arraysetops

Module with a number of other functions for performing set operations on arrays.

Examples

>>> np.union1d([-1, 0, 1], [-2, 0, 2])
array([-2, -1,  0,  1,  2])

To find the union of more than two arrays, use functools.reduce:

>>> from functools import reduce
>>> reduce(np.union1d, ([1, 3, 4, 3], [3, 1, 2, 1], [6, 3, 4, 2]))
array([1, 2, 3, 4, 6])