kszucs commented on pull request #7805:
URL: https://github.com/apache/arrow/pull/7805#issuecomment-661130910


   > @kszucs Breaking users is a concern, I'll add an environment variable for 
both this change and the previous one that can keep the old buggy behavior. 
Just to clarify: was actually ~5PM Budapest time when you ran these test (i.e. 
this patch looks like it fixes a bug?)
   Right, this patch produces the right result.
   > 
   > I thought the unit test I added for Pandas captured the intent of the ML 
example? Let me try to run the example by hand in python to see the results.
   It fixes that as well, just doesn't keep the old buggy behavior. I was 
considering to just apply the spark patch on the current master to keep the old 
buggy behavior, but there is still the nested issue.
   
   
   


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