We are excited to announce the first stable release of mplbasketball, a Python plotting library designed for visualizing basketball data. Version 1.0.0 introduces a range of features and functionalities to create custom basketball visualizations.
Key Features
- Court Visualization
- NBA, WNBA, and NCAA courts: Generate customizable basketball courts with proper dimensions.
- Half-court views: Full flexibility to plot full-court or half-court visualizations.
- 3D court visualization: Ability to plot 3D data on a basketball court.
- Data transformation
- Easy transformations between horizontal and vertical views of the data.
- Integration with
matplotlib
functions
- Compatible with existing plotting tools, allowing mplbasketball to fit in seamlessly with your existing visualization pipelines.
Getting Started
Check out the README for installation instructions, usage examples, and API reference.
We hope you enjoy using mplbasketball and look forward to your feedback! Feel free to submit issues or contribute to future versions via our GitHub repository.