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numpy.identity() in Python

  • Last Updated : 05 Aug, 2021

numpy.identity(n, dtype = None) : Return a identity matrix i.e. a square matrix with ones on the main diagonal.
 

Parameters : 
n     : [int] Dimension n x n of output array  
dtype : [optional, float(by Default)] Data type of returned array.  
Returns : 
identity array of dimension n x n,  with its main diagonal set to one, and all other elements 0.

 Example:

Python




# Python Programming illustrating
# numpy.identity method
 
import numpy as geek
 
# 2x2 matrix with 1's on main diagonal
b = geek.identity(2, dtype = float)
print("Matrix b : \n", b)
 
 
a = geek.identity(4)
print("\nMatrix a : \n", a)

Output : 
 

Matrix b : 
 [[ 1.  0.]
 [ 0.  1.]]

Matrix a : 
 [[ 1.  0.  0.  0.]
 [ 0.  1.  0.  0.]
 [ 0.  0.  1.  0.]
 [ 0.  0.  0.  1.]]

Note : 
These codes won’t run on online-ID. Please run them on your systems to explore the working.
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.
 

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