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.