Open In App
Related Articles

numpy matrix operations | identity() function

Improve
Improve
Improve
Like Article
Like
Save Article
Save
Report issue
Report
numpy.matlib.identity() is another function for doing matrix operations in numpy. It returns a square identity matrix of given input size.
Syntax : numpy.matlib.identity(n, dtype=None) Parameters : n : [int] Number of rows and columns in the output matrix. dtype : [optional] Desired output data-type. Return : n x n matrix with its main diagonal set to one, and all other elements zero.
Code #1 :
# Python program explaining
# numpy.matlib.identity() function
  
# importing matrix library from numpy
import numpy as geek
import numpy.matlib
  
# desired 3 x 3 output square identity matrix 
out_mat = geek.matlib.identity(3
print ("Output matrix : ", out_mat) 

                    
Output :
Output matrix :  
[[ 1.  0.  0.]
 [ 0.  1.  0.]
 [ 0.  0.  1.]]
  Code #2 :
# Python program explaining
# numpy.matlib.identity() function
  
# importing numpy and matrix library
import numpy as geek
import numpy.matlib
  
# desired 5 x 5 output square identity matrix 
out_mat = geek.matlib.identity(n = 5, dtype = int
print ("Output matrix : ", out_mat) 

                    
Output :
Output matrix :  
[[1 0 0 0 0]
 [0 1 0 0 0]
 [0 0 1 0 0]
 [0 0 0 1 0]
 [0 0 0 0 1]]

Last Updated : 21 Feb, 2019
Like Article
Save Article
Previous
Next
Share your thoughts in the comments
Similar Reads