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A data science toolkit for the H3 geospatial grid <https://h3geo.org/>
_.
.. image:: https://img.shields.io/pypi/v/h3ronpy :alt: PyPI :target: https://pypi.python.org/pypi/h3ronpy/
.. image:: https://readthedocs.org/projects/h3ronpy/badge/?version=latest :alt: ReadTheDocs :target: https://h3ronpy.readthedocs.io/
This library is not a substitute for the official python h3 library <https://github.com/uber/h3-py>
_ - 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/>
_.
h3o <https://github.com/HydroniumLabs/h3o>
_ library.Apache Arrow <https://arrow.apache.org>
_ and pyarrow <https://arrow.apache.org/docs/python/index.html>
_ for efficient data handling.pandas <https://pandas.pydata.org>
_ and polars <https://www.pola.rs/>
_ dataframe libraries. The pandas
support includes geopandas <https://geopandas.org>
_.numpy arrays <https://numpy.org/>
_.geopandas
GeoDataFrames
and any object which supports the python __geo_interface__
protocol (shapely
, geojson
, ...).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.
MIT
FAQs
Data science toolkit for the H3 geospatial grid
We found that h3ronpy demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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