numpy.union1d — NumPy v2.2 Manual (original) (raw)

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, ar2array_like

Input arrays. They are flattened if they are not already 1D.

Returns:

union1dndarray

Unique, sorted union of the input arrays.

Examples

import numpy as np 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])