[GitHub] [arrow] 0x26res commented on issue #37545: to_pandas(date_as_object=False) returns different dtype in pyarrow 13.0.0

["0x26res (via GitHub)" <gi...@apache.org>]

0x26res commented on issue #37545:
URL: https://github.com/apache/arrow/issues/37545#issuecomment-1706424091

   Thanks @AlenkaF, `coerce_temporal_nanoseconds` gives me `timestamp[ns]`. 
   
   Also I've figure I was using types_mapper wrong, I should be doing:
   ```python
   table.to_pandas(types_mapper={pa.date32(): pd.ArrowDtype(pa.timestamp('ns'))}.get)
   ```
   
   I'll close the issue.


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