Python: End-to-end Data Analysis

Matplotlib styles

Throughout the book, we have worked with our custom style file, mystyle.mplstyle. As covered before, in matplotlib, there are numerous style files already included. To print out the styles available in your distribution, simply open a Jupyter Notebook and run the following:

import matplotlib.pyplot as plt 
print(plt.style.available()) 

I am running matplotlib 1.5, and so I will get the following output:

['seaborn-deep', 'grayscale', 'dark_background', 'seaborn-whitegrid', 'seaborn-talk', 'seaborn-dark-palette', 'seaborn-colorblind', 'seaborn-notebook', 'seaborn-dark', 'seaborn-paper', 'seaborn-muted', 'seaborn-white', 'seaborn-ticks', 'bmh', 'fivethirtyeight', 'seaborn-pastel', 'ggplot', 'seaborn-poster', 'seaborn-bright', 'seaborn-darkgrid', ...