Libraries
In order to change the theme of our matplotlib charts, we need to use the morethemes package, that you can install with pip install morethemes.
import pandas as pd
import matplotlib.pyplot as plt
import morethemes as mtDefault chart
morethemes provides a function that generates 4 charts with matplotlib. It's convenient to easily compare themes.
# This displays various matplotlib charts
fig = mt.preview_theme()
You might recognize all the default matplotlib style. Let's improve them with one line of code.
All themes
To apply a theme, you only have to run mt.set_theme("theme_name") before your matplotlib code. "theme_name" is the name of the theme and you can find all available theme here.
Financial Times
To use the Financial Times theme, run mt.set_theme("ft")
mt.set_theme("ft")
# This displays various matplotlib charts
mt.preview_theme()
Wall Street Journal
To use the Wall Street Journal theme, run mt.set_theme("wsj")
mt.set_theme("wsj")
# This displays various matplotlib charts
mt.preview_theme()
The Economist
To use the Economist theme, run mt.set_theme("economist")
mt.set_theme("economist")
# This displays various matplotlib charts
mt.preview_theme()
Urban
To use the Urban theme, run mt.set_theme("urban")
mt.set_theme("urban")
# This displays various matplotlib charts
mt.preview_theme()
Minimal
To use the Minimal theme, run mt.set_theme("minimal")
mt.set_theme("minimal")
# This displays various matplotlib charts
mt.preview_theme()
Other themes
If you want to browse all themes, check out the dedicated documentation.
Going further
- Give morethemes a star on Github!
- morethemes full documentation
