sportypy

sportypy is the Python counterpart to sportyR, also authored by Ross Drucker. It draws scaled, rule-book-accurate representations of sports playing surfaces with matplotlib, so your shot charts, tracking plots, and heatmaps sit on geometry that matches the real thing.

If you live in the PyData stack — pandas, matplotlib, seaborn — sportypy gives you the same surface fidelity that sportyR brings to ggplot2.

Installation

pip install sportypy

Quick start

Every surface is a class you instantiate and draw(). Pass an existing matplotlib Axes to layer your own data on top:

import matplotlib.pyplot as plt
from sportypy.surfaces.basketball import NBACourt
 
fig, ax = plt.subplots(figsize=(12, 6.5))
 
# Draw a regulation NBA court...
NBACourt().draw(ax=ax)
 
# ...then add your data
ax.scatter(shots["x"], shots["y"], c="#024F84", alpha=0.6)
plt.show()

Basketball, football, hockey, baseball, soccer, tennis, volleyball, and curling surfaces are all included, with league presets selectable per surface.

Learn more

• Documentation: sportypy.sportsdataverse.org
• R sibling: sportyR