Skip to content
Related Articles

Related Articles

Improve Article
Save Article
Like Article

numpy.diag() in Python

  • Last Updated : 04 Aug, 2021

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 : 

ndarray

Python




# 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 : 
https://docs.scipy.org/doc/numpy/reference/generated/numpy.diagflat.html#numpy.diagflat 
Note : 
These NumPy-Python programs won’t run on onlineID, 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 write.geeksforgeeks.org or mail your article to review-team@geeksforgeeks.org. 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!