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| author | Isaac Yu <isaacyu@protonmail.com> | 2024-07-06 21:33:48 +0700 |
|---|---|---|
| committer | Willy Sudiarto Raharjo <willysr@slackbuilds.org> | 2024-07-07 10:45:32 +0700 |
| commit | 299bed5ee989da80b2e77a385889584b75e4aca2 (patch) | |
| tree | bcf478369ee0c9813a8b3ffb3c86423bfb2e0242 /python/python3-pyogrio/README | |
| parent | 44c87162ffe974f6218d2741e7a5421473f9c3d7 (diff) | |
python/python3-pyogrio: Added (GeoPandas-oriented API).
Signed-off-by: Willy Sudiarto Raharjo <willysr@slackbuilds.org>
Diffstat (limited to 'python/python3-pyogrio/README')
| -rw-r--r-- | python/python3-pyogrio/README | 11 |
1 files changed, 11 insertions, 0 deletions
diff --git a/python/python3-pyogrio/README b/python/python3-pyogrio/README new file mode 100644 index 0000000000..bf929e7e0a --- /dev/null +++ b/python/python3-pyogrio/README @@ -0,0 +1,11 @@ +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 you 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. |