0x26res opened a new issue, #38647: URL: https://github.com/apache/arrow/issues/38647
### Describe the bug, including details regarding any error messages, version, and platform. This is a follow up from this issue https://github.com/apache/arrow/issues/37545 I'm trying to convert arrow data of type `pyarrow.date32()` to pandas, and would like these date to be converted to `datetime64[ns]`. To do so I provide a `types_mapper` argument: `{pa.date32(): "datetime64[ns]"}` I've noticed it is work with `pa.Array`, but not with `pa.Table`: ```python import datetime import pyarrow as pa import pytest date_array = pa.array([datetime.date(2023, 1, 1)], pa.date32()) assert ( date_array.to_pandas(types_mapper={pa.date32(): "datetime64[ns]"}.get).dtype == "datetime64[ns]" ) table = pa.Table.from_arrays([date_array], ["date"]) with pytest.raises( ValueError, match=r"This column does not support to be converted to a pandas ExtensionArray", ): table.to_pandas( types_mapper={pa.date32(): "datetime64[ns]"}.get ).dtype == "datetime64[ns]" ``` I'm would expect the behaviour to be consistent between pa.Array and pa.Table. I'm happy to submit an MR to fix the bug if pointed in the right direction. I'm on - pandas==2.1.2 - pyarrow==14.0.1 ### Component(s) Python -- 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]
