opinionated provides simple, clean stylesheets for plotting with matplotlib or seaborn.
It's modeled and named after hrbrthemes in R, by Bob Rudis, which are "Opinionated, typographic-centric ggplot2 themes". It's not meant to be an exact clone though, I have made a few different choices. The python code takes a lot of inspiration from Dominik Haitz's mplcyberpunk.
The main application I had in mind was to increase the quality of plots in Google-colab-environments, where there is a very small range of preinstalled fonts. The package therefore automatically downloads fonts from GoogleFonts. But I think everything should also work on your local machine. Be aware though, that it's not super well-tested, and might e. g. fail with facets.
pip install opinionated
The package is very simple to use, you just import it and set the style you want:
import opinionated
import matplotlib.pyplot as plt
plt.style.use("opinionated_rc")
import colormaps as cmaps
Note that opinionated automatically installs colormaps by Pratiman Patel, which provides an easy interface to some of the best colormap-collections in python, like cmocean, scientific or Cartocolors, among others. The usual matplotlib colormaps still work, of course!
Then you do your plotting:
f, ax = plt.subplots(figsize=(10, 7))
sns.scatterplot(x="bill_length_mm", y="flipper_length_mm", hue="species", data=penguins, alpha=.7, s= 70, palette=cmaps.bold[2:5]._colors)
And finally, you can slap on some additional information, using some convenience functions with reasonable defaults. Of course, the usual ways of setting titles, legends, etc. still work.
opinionated.add_legend(title='Species')
opinionated.add_attribution('by Maximilian Noichl')
opinionated.set_title_and_suptitle('Penguins!','They are an excellent type of bird!')
Here's the result:
This certainly does look better than what the defaults would give you, right? –
The style opinionated_rc that we used above uses the font Roboto Condensed, which is my favorite from the original hrbrthemes-package. But there are other styles that you can use. Generally, I would advise using the narrower fonts for plots with more, and the wider ones for fonts with less text. Right now, out of the box we also have available:
opinionated_sg which uses Florian Karsten's lovely space Space Grotesk font:
plt.style.use("opinionated_sg")
opinionated_fsc which uses Fira Sans Condensed:
opinionated_tw which uses Titillium Web font, another classic:
opinionated_m which uses Montserrat font, a relatively wide font to make bold points:
and
opinionated_j which uses Jost, a nice geometric font by indestructible type*:
You can download whichever font you want from Google Fonts, using the code in the package. So nothing will keep you from doing something like:
from opinionated.core import download_googlefont
download_googlefont('Great Vibes', add_to_cache=True)
plt.rc('font', family='Great Vibes')
f, ax = plt.subplots(figsize=(10, 7))
plt.scatter(penguins["bill_length_mm"],penguins["flipper_length_mm"], marker="$\u2764$",
s=100,c='#a81a26',alpha = 0.7)
Which will result in something like the following:
If you want to get an overview of the installed fonts, you can run:
from opinionated.core import show_installed_fonts
show_installed_fonts()
- Make it play nice with facets!
If you use this software in your work, feel free to cite it using the following metadata:
APA:
Noichl, M. (2023). Opinionated: Simple, Clean Stylesheets for Plotting with Matplotlib and Seaborn (Version 0.0.2.8) [Computer software]. https://doi.org/10.5281/zenodo.8329780
BibTeX:
@software{Noichl_Opinionated_Simple_Clean_2023,
author = {Noichl, Maximilian},
doi = {10.5281/zenodo.8329780},
month = aug,
title = {{Opinionated: Simple, Clean Stylesheets for Plotting with Matplotlib and Seaborn}},
url = {https://github.com/MNoichl/opinionated},
version = {0.0.2.8},
year = {2023}
}