Notes

Built upon Matplotlib, and so it is designed to work well with Pandas dataframe objects.

Color Maps

The color scheme can be updated with the cmap arg. Available color schemes can be selected from the available options under matplotlib's colormap, as noted in the following link resource:

https://matplotlib.org/tutorials/colors/colormaps.html

Documentation

The gallery (Example) section of the website includes many examples of graphs and relevant code to generate them.

seaborn: statistical data visualization - seaborn 0.11.0 documentation

Seaborn is a Python data visualization library based on matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics. For a brief introduction to the ideas behind the library, you can read the introductory notes . Visit the installation page to see how you can download the package and get started with it.

seaborn.pydata.org

The API references annotates the various plot types available.

API reference - seaborn 0.11.0 documentation

Figure-level interface for drawing relational plots onto a FacetGrid.

seaborn.pydata.org