Data science toolkit for the H3 geospatial grid
Project description
A data science toolkit for the H3 geospatial grid.
This library is not a substitute for the official python h3 library - instead it provides more high-level functions on top of H3 and integrations into common dataframe libraries.
Documentation is available on https://h3ronpy.readthedocs.io/.
Features
H3 algorithms provided using the performant h3o library.
Build on Apache Arrow and pyarrow for efficient data handling.
Dedicated APIs for the the pandas and polars dataframe libraries. The pandas support includes geopandas.
Multi-threaded conversion of raster data to the H3 grid using numpy arrays.
Multi-threaded conversion of vector data, including geopandas GeoDataFrames and any object which supports the python __geo_interface__ protocol (shapely, geojson, …).
Limitations
Not all functionalities of the H3 grid are wrapped by this library, the current feature-set was implemented when there was a need and the time for it. As a opensource library new features can be requested in the form of github issues or contributed using pull requests.
License
MIT
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