Python | Numpy numpy.ndarray.__xor__()

With the help of Numpy numpy.ndarray.__xor__() method, we can get the elements that is XOR by the value that is provided as a parameter in numpy.ndarray.__xor__() method.

Syntax: ndarray.__xor__($self, value, /)

Return: self^value

Example #1 :
In this example we can see that every element is xor by the value that is passed as a parameter in ndarray.__xor__() method.

# import the important module in python 
import numpy as np 
     
# make an array with numpy 
gfg = np.array([1, 2, 3, 4, 5]) 
     
# applying ndarray.__xor__() method 
print(gfg.__xor__(2)) 

Output:

[3 0 1 6 7]

Example #2 :

# import the important module in python 
import numpy as np 
     
# make an array with numpy 
gfg = np.array([[1, 2, 3, 4, 5], 
                [6, 5, 4, 3, 2]]) 
     
# applying ndarray.__xor__() method 
print(gfg.__xor__(1)) 

Output:

[[0 3 2 5 4]
 [7 4 5 2 3]]

My Personal Notes

Recommended Posts:

Jitender_1998

Check out this Author's contributed articles.

If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute.geeksforgeeks.org or mail your article to contribute@geeksforgeeks.org. See your article appearing on the GeeksforGeeks main page and help other Geeks.

Please Improve this article if you find anything incorrect by clicking on the "Improve Article" button below.

Nov	DEC	Jan
	05
2018	2019	2020