jorisvandenbossche commented on pull request #9203:
URL: https://github.com/apache/arrow/pull/9203#issuecomment-760007070


   I added a commit that updates the tests for the new behaviour, *in case* we 
decide we are OK with that.
   
   Generally I think we should do the best inference from Arrow's point of 
view, and which is thus date type for a date string. 
   
   The only reason I am thinking to not do it is that, for people converting 
the data to pandas afterwards, dates are not that well supported (at this 
point) in pandas. Now, there is a `to_pandas(..., date_as_object=False)` 
keyword a user can specify to still get a datetime64 dtype in pandas instead of 
datetime.date objects.


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