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Library for visualizing soccer event stream data

Project description

matplotsoccer

This is a package to visualize soccer data

To install it simply

pip install matplotsoccer

The most important functions are

  1. Plotting a field with matplotsoccer.field():

  1. Plotting a heatmap with matplotsoccer.heatmap(matrix)

  1. Plotting soccer event stream data. Here is an example of five actions in the SPADL format (see https://github.com/ML-KULeuven/socceraction) leading up to Belgium's second goal against England in the third place play-off in the 2018 FIFA world cup.
game_id period_id seconds team player start_x start_y end_x end_y actiontype result bodypart
8657 2 2179 Belgium Axel Witsel 37.1 44.8 53.8 48.2 pass success foot
8657 2 2181 Belgium Kevin De Bruyne 53.8 48.2 70.6 42.2 dribble success foot
8657 2 2184 Belgium Kevin De Bruyne 70.6 42.2 87.4 49.1 pass success foot
8657 2 2185 Belgium Eden Hazard 87.4 49.1 97.9 38.7 dribble success foot
8657 2 2187 Belgium Eden Hazard 97.9 38.7 105 37.4 shot success foot

Here is the phase visualized using matplotsoccer.actions()

matplotsoccer.actions(
    location=actions[["start_x", "start_y", "end_x", "end_y"]],
    action_type=actions.type_name,
    team=actions.team_name,
    result= actions.result_name == "success",
    label=actions[["time_seconds", "type_name", "player_name", "team_name"]],
    labeltitle=["time","actiontype","player","team"],
    zoom=False
)

(c) Tom Decroos 2019

Project details


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Files for matplotsoccer, version 0.0.8
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