A Python library for creating interactive and customizable visualizations of basketball statistics.
To install basket-viz, simply run:
pip install basket-vizFor a comprehensive overview of features check out the documentation.
from basket_viz.court.shot_charts import ShotChart
shot_chart = ShotChart()
shot_chart.plot_shot_chart(df, player_name="NEDOVIC, NEMANJA")
This module supports plotting static and animated overlay comparing the performance of individuals against the rest of the league.
from basket_viz.overlay.trajectory import PlotTrajectory
pt = PlotTrajectory()
players = ["Hezonja, Mario","James, Mike","Lessort, Mathias"]
colors = [real_madrid_gold, monaco_red, panathenaicos_green]
v_lines = {1.0: 'Short-Range', 4.0: 'Mid-Range', 6.75: 'Three-Point Line'}
pt.plot_trajectory_animated(normalized_df, players, colors, v_lines=v_lines, title=f"Scoring Profiles \n EUROLEAGUE 23/24")
This module supports plotting relationships between different stats of players int the team.
To apply collor template that matches the brand of Euroleague teams use use_team_config=True.
from basket_viz.relationships.plotter import PlotRelationship
plotter = PlotRelationship(use_team_config=True,output_format='mp4')
plotter.plot_animated_relationship(
df,
team_filter="BAR",
display_only_last_names=True,
)
We are continuously working on improving this project and we welcome your contributions!
If you have any feature requests or bug reports, please don't hesitate to open an issue. This project is a work in progress, and your feedback is invaluable to us.
You can also pick up an issue at any time and start working on it. Please make sure to follow our contribution guidelines to ensure a smooth collaboration process. Thank you for your support and happy coding!