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docs: show table of import times and package sizes in README #15805

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docs: show table of import times and package sizes in README #15805

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6 changes: 2 additions & 4 deletions README.md
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Expand Up @@ -157,11 +157,9 @@ Polars is very fast. In fact, it is one of the best performing solutions availab

### Lightweight

Polars is also very lightweight. It comes with zero required dependencies, and this shows in the import times:
Polars is also very lightweight, as shown by its relatively small package size and low import times.
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May also be worth mentioning here that Polars comes with zero required dependencies!


- polars: 70ms
- numpy: 104ms
- pandas: 520ms
![Comparison of Polars, pandas, NumPy, and PyArrow package sizes and import times - Polars is lowest](https://github.com/pola-rs/polars/assets/33491632/390f9258-734a-4878-ba68-3a1f2d7f639b)

### Handles larger-than-RAM data

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