vibespatial.io.geoarrow¶

Classes¶

`GeoArrowCodecPlan`
`GeoArrowBridgeBenchmark`
`NativeGeometryBenchmark`
`WKBBridgeBenchmark`

Functions¶

`plan_geoarrow_codec`(→ GeoArrowCodecPlan)
`encode_owned_geoarrow`(...)
`decode_owned_geoarrow`(...)
`encode_owned_geoarrow_array`(array, *[, field_name, ...])
`benchmark_geoarrow_bridge`(→ list[GeoArrowBridgeBenchmark])
`benchmark_native_geometry_codec`(...)
`benchmark_wkb_bridge`(→ list[WKBBridgeBenchmark])
`geodataframe_to_arrow`(df, *[, index, ...])
`geoseries_to_arrow`(series, *[, geometry_encoding, ...])
`geodataframe_from_arrow`(table, *[, geometry, ...])
`geoseries_from_arrow`(arr, **kwargs)
`geoseries_from_owned`(array, *[, name, crs, ...])

Module Contents¶

class vibespatial.io.geoarrow.GeoArrowCodecPlan¶

operation: vibespatial.io.support.IOOperation¶

selected_path: vibespatial.io.support.IOPathKind¶

canonical_gpu: bool¶

device_codec_available: bool¶

zero_copy_adoption: bool¶

lazy_materialization: bool¶

reason: str¶

class vibespatial.io.geoarrow.GeoArrowBridgeBenchmark¶

operation: str¶

sharing: str¶

geometry_type: str¶

rows: int¶

elapsed_seconds: float¶

shares_memory: bool¶

class vibespatial.io.geoarrow.NativeGeometryBenchmark¶

operation: str¶

geometry_type: str¶

implementation: str¶

rows: int¶

elapsed_seconds: float¶

rows_per_second: float¶

class vibespatial.io.geoarrow.WKBBridgeBenchmark¶

operation: str¶

geometry_type: str¶

implementation: str¶

rows: int¶

fallback_rows: int¶

elapsed_seconds: float¶

rows_per_second: float¶

vibespatial.io.geoarrow.plan_geoarrow_codec(operation: vibespatial.io.support.IOOperation | str) → GeoArrowCodecPlan¶

vibespatial.io.geoarrow.encode_owned_geoarrow(array: vibespatial.geometry.owned.OwnedGeometryArray) → vibespatial.geometry.owned.MixedGeoArrowView¶

vibespatial.io.geoarrow.decode_owned_geoarrow(view: vibespatial.geometry.owned.MixedGeoArrowView) → vibespatial.geometry.owned.OwnedGeometryArray¶

vibespatial.io.geoarrow.encode_owned_geoarrow_array(array: vibespatial.geometry.owned.OwnedGeometryArray, *, field_name: str = 'geometry', crs: Any | None = None, interleaved: bool = True)¶

vibespatial.io.geoarrow.benchmark_geoarrow_bridge(*, operation: str, geometry_type: str = 'point', rows: int = 100000, repeat: int = 20, seed: int = 0) → list[GeoArrowBridgeBenchmark]¶

vibespatial.io.geoarrow.benchmark_native_geometry_codec(*, operation: str, geometry_type: str = 'point', rows: int = 100000, repeat: int = 5, seed: int = 0) → list[NativeGeometryBenchmark]¶

vibespatial.io.geoarrow.benchmark_wkb_bridge(*, operation: str, geometry_type: str = 'point', rows: int = 100000, repeat: int = 5, seed: int = 0) → list[WKBBridgeBenchmark]¶

vibespatial.io.geoarrow.geodataframe_to_arrow(df, *, index: bool | None = None, geometry_encoding: str = 'WKB', interleaved: bool = True, include_z: bool | None = None)¶

vibespatial.io.geoarrow.geoseries_to_arrow(series, *, geometry_encoding: str = 'WKB', interleaved: bool = True, include_z: bool | None = None)¶

vibespatial.io.geoarrow.geodataframe_from_arrow(table, *, geometry: str | None = None, to_pandas_kwargs: dict | None = None)¶

vibespatial.io.geoarrow.geoseries_from_arrow(arr, **kwargs)¶

vibespatial.io.geoarrow.geoseries_from_owned(array: vibespatial.geometry.owned.OwnedGeometryArray, *, name: str = 'geometry', crs: Any | None = None, interleaved: bool = True, use_device_array: bool = True, **kwargs)¶