numpy.intersect1d() function find the intersection of two arrays and return the sorted, unique values that are in both of the input arrays.
Syntax: numpy.intersect1d(arr1, arr2, assume_unique = False, return_indices = False) Parameters : arr1, arr2 : [array_like] Input arrays. assume_unique : [bool] If True, the input arrays are both assumed to be unique, which can speed up the calculation. Default is False. return_indices : [bool] If True, the indices which correspond to the intersection of the two arrays are returned. The first instance of a value is used if there are multiple. Default is False. Return : [ndarray] Sorted 1D array of common and unique elements.Code #1 :
# Python program explaining
# numpy.intersect1d() function
# importing numpy as geek
import numpy as geek
arr1 = geek.array([1, 1, 2, 3, 4])
arr2 = geek.array([2, 1, 4, 6])
gfg = geek.intersect1d(arr1, arr2)
print (gfg)
[1 2 4]Code #2 :
# Python program explaining
# numpy.intersect1d() function
# importing numpy as geek
import numpy as geek
arr1 = [1, 2, 3, 4, 5, 6, 7, 8, 9]
arr2 = [1, 3, 5, 7, 9]
gfg = geek.intersect1d(arr1, arr2)
print (gfg)
[1 3 5 7 9]
