Skip to content
Related Articles

Related Articles

Improve Article
Save Article
Like Article

numpy.diag() in Python

  • Last Updated : 09 Mar, 2022

numpy.diag(a, k=0) : Extracts and construct a diagonal array 
Parameters : 

a : array_like 
k : [int, optional, 0 by default]
          Diagonal we require; k>0 means diagonal above main diagonal or vice versa.

Returns : 



# Python Programming illustrating
# numpy.diag method
import numpy as geek
# matrix creation by array input
a = geek.matrix([[1, 21, 30], 
                 [63 ,434, 3], 
                 [54, 54, 56]])
print("Main Diagonal elements : \n", geek.diag(a), "\n")
print("Diagonal above main diagonal : \n", geek.diag(a, 1), "\n")
print("Diagonal below main diagonal : \n", geek.diag(a, -1))

Output : 

Main Diagonal elements : 
 [  1 434  56] 

Diagonal above main diagonal : 
 [21  3] 

Diagonal below main diagonal : 
 [63 54]

References : 
Note : 
These NumPy-Python programs won’t run on online IDE’s, so run them on your systems to explore them 

This article is contributed by Mohit Gupta_OMG 😀. If you like GeeksforGeeks and would like to contribute, you can also write an article using or mail your article to See your article appearing on the GeeksforGeeks main page and help other Geeks.
Please write comments if you find anything incorrect, or you want to share more information about the topic discussed above.

My Personal Notes arrow_drop_up
Recommended Articles
Page :

Start Your Coding Journey Now!