numpy.union1d() function find the union of two arrays and return the unique, sorted array of values that are in either of the two input arrays.
Syntax : numpy.union1d(arr1, arr2)
Parameters :
arr1, arr2 : [array_like] Input arrays.Return : [ndarray] Unique, sorted union of the input arrays.
Code #1 :
# Python program explaining # numpy.union1d() function # importing numpy as geek import numpy as geek arr1 = [-1, 0, 1] arr2 = [-2, 0, 2] gfg = geek.union1d(arr1, arr2) print (gfg) |
Output :
[-2 -1 0 1 2]
Code #2 :
# Python program explaining # numpy.union1d() function # importing numpy as geek import numpy as geek arr1 = [-3, -2, -1, 0, 1, 2, 3] arr2 = [-5, -4, -3, 0, 3, 4, 5] gfg = geek.union1d(arr1, arr2) print (gfg) |
Output :
[-5 -4 -3 -2 -1 0 1 2 3 4 5]
