Basketball Data Visualization - Newsletter 28
Basketball Data Visualization
Are you interested in Basketball analytics and do you want to impress your manager or showcase some project with nice visualizations?
mplbasketball provides a nice framework to plot basketball data in a clean way, providing the court image and a simple way to interact with it to add all the relevant information you like, such as shooting position, shooting percentage by zone of the court, etc
What's mplbasketball?
A Python plotting library to visualize basketball data, created by the Sport Performance Lab (SPL) at Maple Leaf Sports & Entertainment (MLSE), Toronto, Canada. Sport Performance Lab (SPL) is a Research and Development group that works across all MLSE teams on strategic research initiatives in sports analytics and player performance.
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