w3resource

Creating a Histogram Plot with Pandas and Matplotlib

Pandas: Visualization Integration Exercise-4 with Solution

Write a Pandas program to create a Histogram Plot with Pandas and Matplotlib.

This exercise demonstrates how to create a histogram to show the distribution of numerical data using Pandas and Matplotlib.

Sample Solution :

Code :

import pandas as pd
import matplotlib.pyplot as plt

# Create a sample DataFrame
df = pd.DataFrame({
    'Ages': [22, 25, 29, 30, 35, 40, 45, 22, 25, 33]
})

# Create a histogram to show the distribution of ages
df['Ages'].plot(kind='hist', bins=5)

# Add a title
plt.title('Age Distribution')

# Display the plot
plt.show()

Output:

Pandas - Creating a Histogram Plot with Pandas and Matplotlib

Explanation:

  • Created a DataFrame with 'Ages' data.
  • Used the plot() function with kind='hist' to create a histogram for the age distribution.
  • Set the number of bins to 5 and displayed the plot.

Python-Pandas Code Editor:

Have another way to solve this solution? Contribute your code (and comments) through Disqus.

What is the difficulty level of this exercise?

Test your Programming skills with w3resource's quiz.



Become a Patron!

Follow us on Facebook and Twitter for latest update.

It will be nice if you may share this link in any developer community or anywhere else, from where other developers may find this content. Thanks.

https://www.w3resource.com/python-exercises/pandas/pandas-create-a-histogram-plot-with-pandas-and-matplotlib.php