How To Improve Your Analytical Report With Conditional Formatting In Pandas

Author(s): Hrishikesh Patel

Originally published on Towards AI.

Excel-like Conditional Formatting in Pandas Using Styler API

This member-only story is on us. Upgrade to access all of Medium.

Image by author

Clearly communicating analytical insights with stakeholders is crucial for data scientists/analysts.

The use of conditional formatting in analytical reports can help in quickly identifying insights into a data frame (table).

Let’s start with an example first. The following pivot table shows the total sales of different products from 2016 to 2022.

Pivot table showing total sales of products from 2016 to 2022 — can you identify max sales in 2016? (image by author)Can you identify the largest selling U+1F4B0 product in 2016? — Yes it is Product_B with a total… Read the full blog for free on Medium.

Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.

Published via Towards AI