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That would definitely be welcome! I'm not sure exactly what you were envisioning, but I think it makes the most sense to have a geoparquet as a distinct type, separate from parquet.
In case they are useful places to start, on the pin_read side, boards use the load_data function to bring in the data. And then when pin_write is called, it is the save_data function that does the actual handling depending on data type.
Given that all GeoParquet files use the same file extension .parquet and are valid Parquet files in their own right (it is a sub-specification), there could be some argument that using "parquet" with pin_write should automatically detect that the object is a GeoDataFrame and so use gpd.to_parquet instead of pd.to_parquet. But this is really just for convenience and could be added later. For now, I'll just focus on adding it as a distinct type.
I'd like to add support for geoparquet, via
geopandas.to_parquet
andgeopandas.read_parquet
. Would a PR be welcome?The text was updated successfully, but these errors were encountered: