AlenkaF commented on issue #37545: URL: https://github.com/apache/arrow/issues/37545#issuecomment-1706339577
Yes, correct. This behaviour changed from `pyarrow` version `12.0.1` to `13.0.0`. Here is the PR that changed it: https://github.com/apache/arrow/pull/35656 From the PR: > This PR adds support for the following Arrow -> Pandas conversions, which previously all defaulted to datetime64[ns] or datetime64[ns, <TZ>]: > date32 -> datetime64[ms] > date64 -> datetime64[ms] > ... Also mentioned in the PR description: > Arrow-to-pandas default conversion behavior will change when users have pandas >= 2.0, but a legacy option is exposed to provide backwards compatibility. So in your reprex you could do: ```python >>> pa.__version__ '13.0.0' >>> table.to_pandas(date_as_object=False, coerce_temporal_nanoseconds=True)["date"].dtype dtype('<M8[ns]') ``` But note the comment: https://github.com/apache/arrow/blob/a526ba697d4e3f009731bebda6838b41899051e3/python/pyarrow/array.pxi#L782-L788 -- 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]
