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update README. #74
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nmandery committed Nov 26, 2024
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5 changes: 3 additions & 2 deletions README.rst
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Expand Up @@ -21,8 +21,9 @@ Features
--------

* H3 algorithms provided using the performant `h3o <https://github.com/HydroniumLabs/h3o>`_ library.
* Build on `Apache Arrow <https://arrow.apache.org>`_ and `pyarrow <https://arrow.apache.org/docs/python/index.html>`_ for efficient data handling.
* Dedicated APIs for the the `pandas <https://pandas.pydata.org>`_ and `polars <https://www.pola.rs/>`_ dataframe libraries. The `pandas` support includes `geopandas <https://geopandas.org>`_.
* Build on `Apache Arrow <https://arrow.apache.org>`_ and the lightweight `arro3 <https://github.com/kylebarron/arro3>`_ for efficient data handling. The arrow memory model is compatible with dataframe libraries like `pandas <https://pandas.pydata.org>`_ and `polars <https://www.pola.rs/>`_.
* Extensions for the polars `Series`` and `Expr` APIs.
* Some dedicated functions to work with `geopandas <https://geopandas.org>`_ `GeoSeries`.
* Multi-threaded conversion of raster data to the H3 grid using `numpy arrays <https://numpy.org/>`_.
* Multi-threaded conversion of vector data, including `geopandas` `GeoDataFrames` and any object which supports the python `__geo_interface__` protocol (`shapely`, `geojson`, ...).

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2 changes: 1 addition & 1 deletion h3ronpy/CHANGES.rst
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Expand Up @@ -12,7 +12,7 @@ Versioning <https://semver.org/spec/v2.0.0.html>`__.
0.22.0 - 2024-11-26
-------------------

- *Breaking**: Remove lots the dataframe-library specific functions and instead work with arrow arrays and record-batches directly using the `Arrow PyCapsule interface <https://arrow.apache.org/docs/format/CDataInterface/PyCapsuleInterface.html>`_.
- **Breaking**: Remove lots the dataframe-library specific functions and instead work with arrow arrays and record-batches directly using the `Arrow PyCapsule interface <https://arrow.apache.org/docs/format/CDataInterface/PyCapsuleInterface.html>`_.
The core and polars parts of this library are no longer depending on `pyarrow` - instead the `lightweight 'arro3' library <https://github.com/kylebarron/arro3>`_ is used. The pandas-parts still require `pyarrow` which needs the be installed manually.
- Support for numpy 2.
- Upgrade to h3o 0.7.
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