套件：python3-pyogrio（0.10.0+ds-3）
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.
其他與 python3-pyogrio 有關的套件
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- dep: libc6 (>= 2.14)
- GNU C 函式庫：共用函式庫
同時作為一個虛擬套件由這些套件填實： libc6-udeb
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- dep: libgdal35 (>= 3.8.0)
- Geospatial Data Abstraction Library
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- dep: libjs-jquery (>= 3.6.0)
- JavaScript library for dynamic web applications
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- dep: libjs-sphinxdoc (>= 7.4)
- JavaScript support for Sphinx documentation
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- dep: python3
- interactive high-level object-oriented language (default python3 version)
- dep: python3 (<< 3.13)
- dep: python3 (>= 3.12~)
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- dep: python3-certifi
- root certificates for validating SSL certs and verifying TLS hosts (python3)
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- dep: python3-numpy (>= 1:1.25.0)
- Fast array facility to the Python language (Python 3)
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- dep: python3-numpy-abi9
- 本虛擬套件由這些套件填實： python3-numpy
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- dep: python3-packaging
- core utilities for python3 packages
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- dep: sphinx-rtd-theme-common (>= 2.0.0+dfsg)
- sphinx theme from readthedocs.org (common files)