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numpy.union1d() function in Python

  • Last Updated : 12 Jun, 2020

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]

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