Proceed working with the Polars library whereas with the ability to colour and magnificence the desk
For the reason that Polars library was launched in 2022, it has quickly gained reputation as a result of being an ultra-speed DataFrame library. In contrast with Pandas, the white bear was examined and proved to be approach sooner. Based on the official Polars web site, it’s claimed to achieve greater than 30x efficiency good points.
Nevertheless, nothing is ideal. The Polars library appears to have some limits.
In relation to styling tables, Polars presents fewer choices whereas Pandas has a built-in styler obtainable. If you wish to colour a Polars DataFrame, an easy answer is changing the desk into Pandas.
However wait… what if some code wanted to be run later?