Built upon Matplotlib, and so it is designed to work well with Pandas dataframe objects.
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:
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.
The API references annotates the various plot types available.