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How To Improve Your Analytical Report With Conditional Formatting In Pandas
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How To Improve Your Analytical Report With Conditional Formatting In Pandas

Last Updated on July 26, 2023 by Editorial Team

Author(s): Hrishikesh Patel

Originally published on Towards AI.

Excel-like Conditional Formatting in Pandas Using Styler API

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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.

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