# matrix operations | identity function ()

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`numpy.matlib.identity()` — another function to do matrix operations in numpy. Returns the square matrix of identity of the 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: nxn matrix with its main diagonal set to one, and all other elements zero.

Code # 1:

 ` # Python program explaining ` ` # numpy.matlib .identity () function ` ` # import matrix library from numpy ` ` import ` ` numpy as geek ` ` import ` ` n umpy.matlib ` ` # desired output 3 x 3 square 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 ` ` # import numpy library and matr ocy ` ` import ` ` numpy as geek ` ` import ` ` numpy.matlib ` ` # desired output 5 x 5 square 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]] `

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We hope this article has helped you to resolve the problem. Apart from matrix operations | identity function (), check other __main__ Python module-related topics.

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Anna Williams

Singapore | 2023-01-29

Simply put and clear. Thank you for sharing. matrix operations | identity function () and other issues with exp was always my weak point 😁. Will use it in my bachelor thesis

Frank Porretti

Shanghai | 2023-01-29

Simply put and clear. Thank you for sharing. matrix operations | identity function () and other issues with __main__ Python module was always my weak point 😁. Will get back tomorrow with feedback

Manuel Richtgofen

California | 2023-01-29

I was preparing for my coding interview, thanks for clarifying this - matrix operations | identity function () in Python is not the simplest one. I am just not quite sure it is the best method

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