In this tutorial, we’ll explore how to create an identity matrix in the NumPy Python library. An identity matrix is a square matrix in which all the elements of the principal diagonal are ones, and all other elements are zeros. It’s often used in various mathematical and computational applications.

## Using identity method

To create an identity matrix in NumPy, you can use the np.identity method. Here’s an example of how to do it:

import numpy as np identity_matrix = np.identity(8) print(identity_matrix)

In this code, we use np.identity(8) to create an 8×8 identity matrix. The identity method takes the size of the desired square matrix as its argument.

An identity matrix is a fundamental concept in linear algebra and is used in various matrix operations, transformations, and mathematical calculations. NumPy’s np.identity method makes it easy to create identity matrices of different sizes.