Proceed working with the Polars library whereas with the ability to coloration and elegance the desk
For the reason that Polars library was launched in 2022, it has quickly gained recognition attributable to being an ultra-speed DataFrame library. In contrast with Pandas, the white bear was examined and proved to be approach sooner. In response to the official Polars website, it’s claimed to achieve greater than 30x efficiency positive aspects.
Nevertheless, nothing is ideal. The Polars library appears to have some limits.
Relating to styling tables, Polars provides fewer choices whereas Pandas has a built-in styler accessible. If you wish to coloration a Polars DataFrame, an easy answer is changing the desk into Pandas.
However wait… what if some code wanted to be run later?