Applying Lambda functions to Pandas Dataframe

Find common values between two NumPy arrays

Last Updated : 29 Aug, 2020

In NumPy, we can find common values between two arrays with the help intersect1d(). It will take parameter two arrays and it will return an array in which all the common elements will appear.

Syntax: numpy.intersect1d(array1,array2)

Parameter :Two arrays.

Return :An array in which all the common element will appear.

Example 1:

Python

import numpy as np 
  
  
ar1 = np.array([0, 1, 2, 3, 4]) 
ar2 = [1, 3, 4] 
  
# Common values between two arrays 
print(np.intersect1d(ar1, ar2)) 

Output:

[1,3,4]

Example 2:

Python

import numpy as np 
  
  
ar1 = np.array([12, 14, 15, 16, 17]) 
ar2 = [2, 4, 5, 6, 7, 8, 9, 12] 
  
# Common values between two arrays 
print(np.intersect1d(ar1, ar2)) 

Output:

[12]

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