Package: python3-pyogrio (0.10.0+ds-4 and others)

[ Source: pyogrio  ]

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

Pyogrio provides a GeoPandas-oriented API to OGR vector data sources, such as ESRI Shapefile, GeoPackage, and GeoJSON. Vector data sources have geometries, such as points, lines, or polygons, and associated records with potentially many columns worth of data.

Pyogrio uses a vectorized approach for reading and writing GeoDataFrames to and from OGR vector data sources in order to give the user a faster interoperability. It uses pre-compiled bindings for GDAL/OGR so that the performance is primarily limited by the underlying I/O speed of data source drivers in GDAL/OGR rather than multiple steps of converting to and from Python data types within Python.

The user can read these data sources into GeoDataFrames, read just the non-geometry columns into Pandas DataFrames, or even read non-spatial data sources that exist alongside vector data sources, such as tables in a ESRI File Geodatabase, or antiquated DBF files.

Pyogrio also enables you to write GeoDataFrames to at least a few different OGR vector data source formats.

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Architecture	Version	Package Size	Installed Size	Files
alpha (unofficial port)	0.10.0+ds-4	639.4 kB	3,841.0 kB	[list of files]
amd64	0.10.0+ds-4	689.9 kB	3,555.0 kB	[list of files]
arm64	0.10.0+ds-4	601.1 kB	3,569.0 kB	[list of files]
armel	0.10.0+ds-4	636.9 kB	3,551.0 kB	[list of files]
armhf	0.10.0+ds-4	638.6 kB	3,039.0 kB	[list of files]
i386	0.10.0+ds-4	675.0 kB	3,629.0 kB	[list of files]
mips64el	0.10.0+ds-4	574.4 kB	3,746.0 kB	[list of files]
ppc64el	0.10.0+ds-4	638.4 kB	3,953.0 kB	[list of files]
riscv64	0.10.0+ds-4	657.6 kB	2,939.0 kB	[list of files]
sh4 (unofficial port)	0.10.0+ds-4+b1	801.2 kB	3,300.0 kB	[list of files]