How to generate random samples from a normal distribution?

Generating random samples from a normal distribution is a common task in various applications, including statistics and machine learning. Let’s learn how to generate random samples from a normal (Gaussian) distribution in Numpy Python library.

Random normal function

Numpy random normal function does the job.

Parameters:

first parameter is the main value around which the others will be randomly generated

second parameter is standard deviation value around the main value from the first parameter

the third parameter is a size which is the easiest to set via a tuple as in the example below

How to generate random normal distribution in Python

Sample code:

import numpy as np

my_array = np.random.normal(5, 3, size=(5, 4))

print(f"Random samples of normal distribution: \n {my_array}")

Random samples of normal distribution has been generated.