This type of plot helps us to examine the distribution of  numerical data in such a way that you are unable to make do with mean or median alone. We are going to use the hist() method to create a simple histogram. Let's look at an example to create a simple histogram. For that, create a script called histogram_example.py and write the following content in it:

import matplotlib.pyplot as plt
import numpy as np

x = np.random.randn(500)
plt.hist(x)
plt.show()

Run the script and you will get the following output:

student@ubuntu:~/work$ python3 histogram_example.py

The output is as follows:

In the preceding example, we created an array of random numbers using numpy. Then we plotted that numerical data using the plt.hist() method.