amoeba opened a new issue, #41643: URL: https://github.com/apache/arrow/issues/41643
### Describe the enhancement requested In https://github.com/apache/arrow/issues/41162 it was reported that PyArrow's `to_pandas` method silently drops timezone information from nested Timestamp arrays. For example, ```python import pandas as pd import pyarrow as pa ts = pandas.Timestamp('2024-01-01 12:00:00+0000', tz = 'Europe/Paris') # unnested, we get a timezone-aware result pa.Array.from_pandas([myts]).to_pandas()[0] # => Timestamp('2024-01-01 13:00:00+0100', tz='Europe/Paris') # nested, we get a timezone-naive result pa.Array.from_pandas([[myts]]).to_pandas()[0][0] # => numpy.datetime64('2024-01-01T12:00:00.000000') ``` The reason for this is explained the comments of https://github.com/apache/arrow/issues/41162 and the upshot is of that is that we may not change the behavior at the moment. Therefore, I think it would be good to at least document the current behavior, including what workarounds may exist. ### Component(s) Documentation, 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]
