# 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 --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://igb.mit.edu/mini-courses/python/data-processing-with-python/seaborn/about-seaborn.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.