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GeoPandas 1.0 and beyond — Martin Fleischmann
Learn about GeoPandas 1.0's major performance gains, new features like GeoArrow support, and future plans including spherical geometry and Rust implementation.
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GeoPandas provides subclasses of Pandas objects - GeoPandas geo series and geo data frame - with added spatial functionality
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Version 1.0 brings significant performance improvements:
- Requires Shapley 2.0 with vectorized interface
- Switched from Fiona to Pyagria for faster file reading/writing
- New GeoArrow and GeoParquet support for efficient geometry encoding
- Coverage-based union operations for improved performance
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Key dependencies simplified:
- Core: Pandas, Shapley (geometries), Fiona/Pyagria (file I/O), Pyproj (coordinate systems)
- Some dependencies like GDAL made optional to improve installation experience
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Major new features:
- D-within spatial predicate for distance-based joins
- Full Shapley API parity
- Interactive visualization support
- Coverage-based operations for topology-aware processing
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Future developments planned:
- Spherical geometry support through Spherley (Google S2)
- Curved geometry types support
- Coverage simplification improvements
- Potential Rust implementation for better performance
- Enhanced GeoArrow integration
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Project evolution:
- Started in 2013 at SciPy conference
- Received NumFOCUS affiliation in 2020
- Over 200 code contributors to date
- Removed controversial datasets module in favor of neutral geodatasets