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 Lazyroar 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 Lazyroar 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.