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Stunning charts with Python

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Stunning charts with Python

Pushing matplotlib to its best πŸ”₯

Aug 22, 2023
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Stunning charts with Python

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πŸ‘‹ Hey!

Today I’m back at work, and very glad to announce a new section in the Python Graph Gallery! πŸŽ‰

Take a look

R or Python for dataviz?

In the world of data science, 2 main programming languages dominate: R and Python.

They both have pros and cons. But when it comes to Data Visualization, I’ve always been surprised to see how many stunning charts are produced by the R community compared to Python πŸ€”.

I have no idea why it is the case (and if it is even true). But I spend a lot of time browsing the internet in the quest of great charts and that’s how I feel it.

R is powerful. So is Python.

R is very powerful for dataviz, notably thanks to the ggplot2 package and its extensions.

But Python is pretty awesome too!

Matplotlib is a pretty solid library. It allows to build any kind of chart type with all the customisation you could dream of. Plotly has a Python library too, allowing to create powerful interactive charts.

A list of stunning Python charts

To face this lack of stunning python charts, I created and translated some of my favorite graphics to Python πŸ™‡β€β™‚οΈ.

It results in a list of 22 insightful & beautiful charts, coming with their reproducible code and some explanation about it.

A sample of the python graphics available.

I hope this can be useful to level-up your dataviz skills!

If you know someone who creates some ugly charts with Python, please share this content with them πŸ˜‹.

If there is some good python viz content I should add, please let me know πŸ™

That’s it for today!

Yan

PS: thanks a lot to the original authors of the charts, and to the people who helped me for the translation. They are always cited in the posts. πŸ™πŸ™πŸ™

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