Cheat Sheets

This section provides a few cheat sheets related with python, data wrangling and data visualization. Even with a perfect understanding of python and its libraries, it's almost impossible to remember the syntax of each function of the ecosystem. That's where cheatsheets are useful 🔥!

Matplotlib

There are several useful cheatsheets about matplotlib.

The Matplotlib organization itself provides several options, and Datacamp is also a great contributor.

Note that if you want to truely understand how matplotlib works,Matplotlib Journey is what you truly need!

In any case, you can download all the available cheatsheets in a single PDF:

Matplotlib cheatsheet by Datacamp.

Matplotlib cheatsheet by matplotlib (page 1).

Matplotlib cheatsheet by matplotlib (page 2).

Seaborn

Seaborn is a dataviz library for Python built on top of Matplotlib. It is unavoidable to build some chart types and provides much better default than matplotlib. You cannot live without it!

Seaborn cheatsheet by Datacamp.

Chart type choice

Wondering what chart type you should use for your dataset?

Here is a decision tree coming from my Data to Viz project. You describe your dataset format and it leads you to the most appropriate chart type!

Pandas

Last but not least, what would we do without Pandas for the data wrangling part of our projects? 😀

Pandas cheatsheet by Datacamp.

🚨 Grab the Data To Viz poster!

Do you know all the chart types? Do you know which one you should pick? I made a decision tree that answers those questions. You can download it for free!