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]