Artifact python3-pyogrio_0.10.0+ds-1_arm64

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deb_fields:
  Architecture: arm64
  Depends: python3 (<< 3.13), python3 (>= 3.12~), python3-certifi, python3-numpy (>=
    1:1.25.0), python3-numpy-abi9, python3-packaging, python3:any, libc6 (>= 2.17),
    libgdal35 (>= 3.8.0), libjs-jquery (>= 3.6.0), libjs-sphinxdoc (>= 7.4), sphinx-rtd-theme-common
    (>= 2.0.0+dfsg)
  Description: |-
    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.
  Homepage: https://github.com/geopandas/pyogrio
  Installed-Size: '2512'
  Maintainer: Debian GIS Project <pkg-grass-devel@lists.alioth.debian.org>
  Package: python3-pyogrio
  Priority: optional
  Section: python
  Source: pyogrio
  Version: 0.10.0+ds-1
srcpkg_name: pyogrio
srcpkg_version: 0.10.0+ds-1

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