Imbruced commented on PR #1825: URL: https://github.com/apache/sedona/pull/1825#issuecomment-2678928249
> This is awesome! I'm new to this code base, so consider my comments optional nits 🙂 > > > Starting from Spark 4.0, we can pass the whole arrow table to Spark.createDataFrame > > Based on this PR, I'm happy to attempt backporting GeoArrow import of anything implementing `__arrow_c_stream__,` circumventing a materialize of the GeoPandas data frame as a follow-up 🙂 @paleolimbot That would be great. When writing Chapter 6, I included examples with the code you provided, which significantly improves the transformation time when we create geopandas from Sedona. Adding something similar to Sedona from Geopandas would be great, so I added this MR. I am happy to apply all the changes you mentioned. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
