numpy matrix operations | identity() function
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.]]
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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]]
