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mplsoccer is a Python library for plotting soccer/football charts in Matplotlib and loading StatsBomb open-data.

Installation

Use the package manager pip to install mplsoccer.

pip install mplsoccer

Or install via Anaconda.

conda install -c conda-forge mplsoccer

Docs

Read more in the docs and see some examples in our gallery.

Quick start

Plot a StatsBomb pitch

from mplsoccer import Pitch
import matplotlib.pyplot as plt
pitch = Pitch(pitch_color='grass', line_color='white', stripe=True)
fig, ax = pitch.draw()
plt.show()

mplsoccer pitch

Plot a Radar

from mplsoccer import Radar
import matplotlib.pyplot as plt
radar = Radar(params=['Agility', 'Speed', 'Strength'], min_range=[0, 0, 0], max_range=[10, 10, 10])
fig, ax = radar.setup_axis()
rings_inner = radar.draw_circles(ax=ax, facecolor='#ffb2b2', edgecolor='#fc5f5f')
values = [5, 3, 10]
radar_poly, rings, vertices = radar.draw_radar(values, ax=ax,
                                               kwargs_radar={'facecolor': '#00f2c1', 'alpha': 0.6}, 
                                               kwargs_rings={'facecolor': '#d80499', 'alpha': 0.6})
range_labels = radar.draw_range_labels(ax=ax)
param_labels = radar.draw_param_labels(ax=ax)
plt.show()

mplsoccer radar

What is mplsoccer?

In mplsoccer, you can:

I hope mplsoccer helps you make insightful graphics faster, so you don't have to build charts from scratch.

Want to help?

I would love the community to get involved in mplsoccer. Take a look at our open-issues for inspiration. Please get in touch at rowlinsonandy@gmail.com or @numberstorm on Twitter to find out more.

Recent changes

View the changelog for a full list of the recent changes to mplsoccer.

Inspiration

mplsoccer was inspired by:

License

MIT