Posit, 3 months ago (edited 3 months ago)

To continue 1/3:
Polars is popular in part because of its intuitive & powerful context and expressions that help make simple data manipulation tasks easy (not to mention the Arrow driven performance). These are important to folks who want to think more about their analytics and less about code optimization. But right now, when it's time to convert polars data into a table to share, people often turn to pandas and use the built-in DataFrame styler.

Posit, 3 months ago

Continued 2/3

This is a sad state of affairs. One major limitation with this state of things; you can’t use polars expressions. And this friction doesn't help with performance.

Check out great_tables latest update!

"Polars expressions make styling tables very straightforward." The same Polars code that you would use to select or filter combines with Great Tables to highlight, circle, or bolden text.

Posit, 3 months ago (edited 3 months ago)

Continued 3/3

See how to use polars expressions to make delightful tables Great Tables: "The Polars DataFrame Styler of Your Dreams"
https://posit-dev.github.io/great-tables/blog/polars-styling/

And don't take my word for it, here's Marco Gorelli;
"As it turns out, polars expressions make styling tables very straightforward". Nice to see a project that gets it - well done Posit PBC! (https://www.linkedin.com/feed/update/urn:li:activity:7156600576430997504/)