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numpy matrix operations | identity() function
  • Last Updated : 21 Feb, 2019

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 :



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# 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) 

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Output :

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

 

Code #2 :

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# 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) 

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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]]

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