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explain numpy.identity() in Python

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numpy.identity() in Python

The identity() method of Python numpy class returns an identity matrix i.e., a square matrix with ones on the main diagonal.

Syntax

numpy.identity(n, dtype=None)

Parameters

The numpy. identity()  method consists of two parameters, which are as follows:

N : It represents the number of rows(or columns).

dtype : It is an optional parameter. It depicts the data type of returned array, and by default, it is a float.

Return Value

The numpy.identity () method returns identity array of dimension n x n,  with its main diagonal set to one, and all other elements equal to zero.

Example 1

# Python Programming giving an example for

# numpy.identity() method

import numpy as numpy

# 2x2 matrix with 1's on main diagnol

obj1 = numpy.identity(3, dtype = float)

print("Matrix : \n", obj1)

obj2 = numpy.identity(4)

print("\nMatrix : \n", obj2)

Output

Matrix :

[[ 1.  0.  0.]

[ 0.  1.  0.]

[ 0.  0.  1.]]

Matrix :

[[ 1.  0.  0.  0.]

[ 0.  1.  0.  0.]

[ 0.  0.  1.  0.]

[ 0.  0.  0.  1.]]

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