mplfooty 0.0.3

AFL pitch plotting using matplotlib

mplfooty

mplfooty is a Python library for plotting AFL charts in Matplotlib.

Heavily heavily inspired and copied from mplsoccer. Translated from soccer into AFL pitches for personal analysis.

Installation

Use the package manager pip to install mplfooty.

pip install mplfooty

Usage

Pitch Plotting

from mplfooty.pitch import Pitch
pitch = Pitch(pitch_width=135, pitch_length=165)
pitch.draw()

Grids

from mplfooty.pitch import Pitch
pitch = Pitch(pitch_width=135, pitch_length=165)
fig, axs = pitch.grid(nrows = 2, ncols = 2, axis=False)

Scatter

from mplfooty.pitch import Pitch
pitch = Pitch(pitch_width=135, pitch_length=165)
fig, ax = pitch.draw()
pitch.scatter(x=[25, 25, -25, -25], y=[-25, 25, -25, 25], ax=ax)

Kdeplot

from mplfooty.pitch import Pitch
pitch = Pitch(pitch_width=135, pitch_length=165, line_zorder=2)
fig, ax = pitch.draw()
x = np.random.uniform(low=-100/2, high=100/2, size=36)
y = np.random.uniform(low=-90/2, high=90/2, size=36)
pitch.kdeplot(x, y, ax=ax, thresh=0, fill = True, color = "red", levels=100)

Heatmap

from mplfooty.pitch import Pitch
pitch = Pitch(pitch_width=135, pitch_length=165, line_zorder=2, line_colour="grey", pitch_colour='black')
fig, ax = pitch.draw()
x = np.random.uniform(low=-165/2, high=165/2, size=1000)
y= np.random.uniform(low=-135/2, high=135/2, size=1000)
stats = pitch.bin_statistic(x, y, bins=(10, 8))
pitch.heatmap(stats, edgecolors="black", cmap="hot", ax=ax)

Hexbin

from mplfooty.pitch import Pitch
pitch = Pitch(pitch_width=135, pitch_length=165, line_zorder=2, line_colour="#000009")
fig, ax = pitch.draw()
x = np.random.uniform(low=-82.5, high=100.5, size=10000)
y= np.random.uniform(low=-82.5, high=67.5, size=10000)
pitch.hexbin(x, y, edgecolors = "black", ax=ax, cmap="Reds", gridsize=(10, 5))

Voronoi

from mplfooty.pitch import Pitch
pitch = Pitch(pitch_width=135, pitch_length=165)
fig, ax = pitch.draw()
x = np.random.uniform(low=-100/2, high=100/2, size=36)
y = np.random.uniform(low=-90/2, high=90/2, size=36)
teams = np.array([0] * 18 + [1] * 18)
pitch.scatter(x[teams == 0], y[teams == 0], color = "red", ax=ax)
pitch.scatter(x[teams == 1], y[teams == 1], color = "blue", ax=ax)
team1, team2 = pitch.voronoi(x, y, teams)
team1_poly = pitch.polygon(team1, ax=ax, color = "red", alpha=0.3)
team2_poly = pitch.polygon(team2, ax=ax, color = "blue", alpha=0.3)

Goal Angles

from mplfooty.pitch import Pitch
pitch = Pitch(pitch_width=135, pitch_length=165)
fig, ax = pitch.draw()
pitch.goal_angle(50, 30, color = "red", alpha=0.3, ax=ax)

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate.

License

MIT