> For the complete documentation index, see [llms.txt](https://igb.mit.edu/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://igb.mit.edu/mini-courses/python/data-processing-with-python/seaborn/about-seaborn.md).

# About Seaborn

Seaborn is an extension of `matplotlib` and `pandas`. It makes a well-defined set of hard things easy too Seaborn works directly with Pandas dataframes as inputs if you have lists or numpy arrays, you should probably convert those to pandas dataframes to plot (or use matplotlib)

See Seaborn introduction [here](http://seaborn.pydata.org/introduction.html)

Seaborn has an unreal number of built-in plots. It's best to just explore [the documentation online](https://seaborn.pydata.org/), but we'll go through some quick examples