19 lines
1022 B
Plaintext
19 lines
1022 B
Plaintext
Pyogrio provides fast, bulk-oriented read and write access to GDAL/OGR vector
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data sources, such as ESRI Shapefile, GeoPackage, GeoJSON, and several others.
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Vector data sources typically have geometries, such as points, lines, or
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polygons, and associated records with potentially many columns worth of data.
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The typical use is to read or write these data sources to/from GeoPandas
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GeoDataFrames. Because the geometry column is optional, reading or writing only
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non-spatial data is also possible. Hence, GeoPackage attribute tables, DBF
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files, or CSV files are also supported.
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Pyogrio is fast because it uses pre-compiled bindings for GDAL/OGR to read and
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write the data records in bulk. This approach avoids multiple steps of
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converting to and from Python data types within Python, so performance becomes
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primarily limited by the underlying I/O speed of data source drivers in
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GDAL/OGR.
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We have seen >5-10x speedups reading files and >5-20x speedups writing files
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compared to using row-per-row approaches (e.g. Fiona).
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