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[ Paquet source : pyogrio  ]

Paquet : python3-pyogrio (0.10.0+ds-4)

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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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amd64 689,9 ko3 555,0 ko [liste des fichiers]
arm64 601,1 ko3 569,0 ko [liste des fichiers]
armel 636,9 ko3 551,0 ko [liste des fichiers]
armhf 638,6 ko3 039,0 ko [liste des fichiers]
i386 675,0 ko3 629,0 ko [liste des fichiers]
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ppc64el 638,4 ko3 953,0 ko [liste des fichiers]
riscv64 657,6 ko2 939,0 ko [liste des fichiers]