hjoo commented on issue #24981: [WIP][SPARK-27463][PYTHON] Support Dataframe Cogroup via Pandas UDFs- Arrow Stream Impl URL: https://github.com/apache/spark/pull/24981#issuecomment-512291928 I've shown cogroup to potential users, and the most common feedback was that the double groupby was repetitive and confusing. One user asked if they could cogroup two dataframes grouped by different keys; the API `df1.groupby('id').cogroup(df2.groupby('id')).apply(func)` doesn't suggest that they shouldn't do that. As a result, I'm more in favor of: `df1.cogroup(df2, on='id').apply(func)` Several people independently suggested an API like this one which tells me it's probably more intuitive. It's also more succinct, and I think it would be less prone to incorrect usage. Thoughts?
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