- libsuperlu6 amd64 (>= 6.0.1+dfsg1)
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.
Installed Size: 2.6 MB
Architectures: amd64 arm64