DataFrame VS plotnine

For a while, I have been hearing that Polars is so frighteningly fast that you shouldn’t look directly at it with unprotected eyes. So, I finally found time to learn a bit about Polars and write a very simple test/comparison for C++ DataFrame vs. Polars.

I have worked on C++ DataFrame for the past 5+ years in my spare times. It is comparable to Pandas or R data.frame, although it includes a lot more functionality.

To your last point, have you tried plotnine? It's meant to be ggplot2 for python.

https://github.com/has2k1/plotnine

plotnine - A grammar of graphics for Python based on ggplot2.

Github: https://github.com/has2k1/plotnine

This seems quite similar to plotnine [0], which also provides a grammar of graphics interface for Python. That said, I love ggplot and I can't wait to use this in my research! I hope we can port/re-implement ggthemes, scientificplots [1], and other ggplot libraries for lets-plot.

0: https://plotnine.readthedocs.io/en/stable/

1: https://github.com/garrettj403/SciencePlots

There is [plotnine](https://plotnine.readthedocs.io/en/stable/) which tries to implement ggplot in Python.

You could use plotnine if you like the grammar of graphics concept: https://plotnine.readthedocs.io/en/stable/

> Python doesn’t yet have anything remotely close to ggplot for rapidly making exploratory graphics, for example.

Plug for plotnine (https://plotnine.readthedocs.io/en/stable/). I don't know R but use ggplot indirectly through this library for exploratory data analysis, and comparing the experience to any other python plotting library, I understand why R folks are usually so sad to be using Python.

They have, https://plotnine.readthedocs.io/en/stable/