py311-pyogrio

Vectorized spatial vector file format I/O using GDAL/OGR

Pyogrio provides fast, bulk-oriented read and write access to GDAL/OGR vector data sources, such as ESRI Shapefile, GeoPackage, GeoJSON, and several others. Vector data sources typically have geometries, such as points, lines, or polygons, and associated records with potentially many columns worth of data. The typical use is to read or write these data sources to/from GeoPandas GeoDataFrames. Because the geometry column is optional, reading or writing only non-spatial data is also possible. Hence, GeoPackage attribute tables, DBF files, or CSV files are also supported. Pyogrio is fast because it uses pre-compiled bindings for GDAL/OGR to read and write the data records in bulk. This approach avoids multiple steps of converting to and from Python data types within Python, so performance becomes primarily limited by the underlying I/O speed of data source drivers in GDAL/OGR. We have seen >5-10x speedups reading files and >5-20x speedups writing files compared to using row-per-row approaches (e.g. Fiona).