Display X Axis Values as Days of the Week in Your Seaborn Charts!

Learn how to reorder your x-axis values to represent the days of the week correctly in Seaborn and Pandas visualizations, enhancing your data analysis projects!
---
This video is based on the question https://stackoverflow.com/q/68599299/ asked by the user 'The_Bandit' ( https://stackoverflow.com/u/14967763/ ) and on the answer https://stackoverflow.com/a/68599333/ provided by the user 'Nk03' ( https://stackoverflow.com/u/15438033/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: Change X Axis Values to Days of Week (Mon - Sun) in Seaborn/Pandas

Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l...
The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
---
Display X Axis Values as Days of the Week in Your Seaborn Charts!

When analyzing sales data, visualizing patterns effectively is key to understanding customer behavior. A common requirement during this analysis is to display the days of the week (Monday to Sunday) on the x-axis of your charts. This not only improves readability but also follows a logical order that people can easily interpret. In this guide, we will tackle the problem of how to rearrange x-axis values to display the days of the week using Pandas and Seaborn.

The Problem

You have conducted a sales analysis and grouped your data by the days of the week using the following code:

[[See Video to Reveal this Text or Code Snippet]]

The output shows counts of purchases day by day, but it does not follow the natural weekly order. The current result, displayed in descending order, looks like this:

[[See Video to Reveal this Text or Code Snippet]]

Your goal is to create a line graph to visualize this data with the x-axis representing the days of the week in the order from Monday to Sunday.

The Solution

Here’s how you can adjust your existing code to achieve this ordered display of days on the x-axis. We'll be utilizing Pandas’ categorical data type to help us reorder the days.

Step 1: Reset the Index

First, ensure you reset the index of your DataFrame so that the 'Weekday Bought' can be manipulated:

[[See Video to Reveal this Text or Code Snippet]]

Step 2: Define the Order of Days

To create a custom order of weekdays, take advantage of the pd.Categorical() function. This function allows you to specify the order of categories explicitly:

[[See Video to Reveal this Text or Code Snippet]]

Step 3: Sort the DataFrame

Now that the categorical order is set, sort the DataFrame based on the weekday:

[[See Video to Reveal this Text or Code Snippet]]

Step 4: Visualization

You can now use Seaborn to plot your data with the days of the week in the correct order. Your plotting code would look like this:

[[See Video to Reveal this Text or Code Snippet]]

Expected Output

After executing the above code, you should see a clean line graph with the x-axis correctly displaying the days of the week from Monday to Sunday, allowing clear interpretation of purchase behavior throughout the week.

Conclusion

By following these simple steps, you can enhance your data visualizations by ensuring the x-axis labels are intuitive and logically ordered. This not only makes your charts more informative but also significantly improves the viewer’s understanding of patterns in your sales data. Enjoy your data analysis journey with clearer visualizations!