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 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 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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