Changelog¶

Unreleased¶

Split GeometryArray into NativeArray and SerializedArray. NativeArray encompasses any "native" GeoArrow array types, which are efficient to compute on, while SerializedArray encompasses any "serialized" GeoArrow types, like WKB and WKT, which must be parsed before they can be passed to any compute functions.

Remove geometry class specializations. Instead of PointArray, LineStringArray, etc, there's now just GeometryArray, ChunkedGeometryArray, and Geometry (a scalar).
Remove GeoTable class, in favor of external, generic arrow Table implementations, such as arro3.core.Table.
Move to slimmer, functional API. No more geometry methods on classes.
Don't materialize input data when writing to a file.
New GeometryType class for understanding the geometry type of an array or chunked array.
Split Python code into three modules: geoarrow-rust-core, geoarrow-rust-compute and geoarrow-rust-io.
Support for Pyodide Python environment
Support Python file objects for reading and writing GeoParquet

Fix array indexing with negative integers by @kylebarron in geoarrow/geoarrow-rs!724

Asynchronous FlatGeobuf reader. This also supports passing a spatial filter.
Initial support for reading from PostGIS. Note that not all Postgres data types are supported yet. Create an issue if your query fails.
Reading and writing newline-delimited GeoJSON.
Pyogrio integration for reading from OGR/GDAL.
Asynchronous GeoParquet reader for reading from remote files. By @weiji14 in geoarrow/geoarrow-rs!493
Also new support for writing GeoParquet files.
Most I/O readers and writers support Python file-like objects (in binary mode).
Support for reading and writing Arrow IPC files.

Import from and export to GeoPandas GeoDataFrames. Refer to the GeoPandas interoperability documentation.
Import from and export to Shapely arrays. Refer to the Shapely interoperability documentation.
Better integration with Lonboard for fast visualization in Jupyter.
All scalars, arrays, chunked arrays, and table objects implement __geo_interface__ for interoperability with existing tools.
Numpy interoperability for float array output from algorithms. Pass any Float64Array or BooleanArray to numpy.asarray. You can also pass a numpy array as vectorized input into a function like line_interpolate_point.

Explode a Table where each multi-geometry expands into multiple rows of single geometries.
total_bounds
Unified area function for planar and geodesic area.
Unified simplify function for multiple simplification methods. Also new support for topology-preserving simplification.
Unified length function for euclidean and geodesic length calculations.
frechet_distance for LineString similarity.
affine_transform, which integrates with the Python affine library.
line_interpolate_point and line_locate_point for linear referencing.
polylabel for polygon labeling.

Scalars now display as SVG geometries inside Jupyter environments.
Tables, arrays, and chunked arrays implement __repr__ so that you can inspect data easily.

PointArray.from_xy to simplify creating a point array from numpy arrays of coordinates.
Index into arrays and chunked arrays with square brackets. E.g. point_array[0] will access the first point in the array. Negative indexing is also supported, so point_array[-1] will get the last item in the array.
New top-level docs website.

Full Changelog: github.com/geoarrow/geoarrow-rs/compare/py-v0.1.0...py-v0.2.0