jorisvandenbossche commented on issue #33842: URL: https://github.com/apache/arrow/issues/33842#issuecomment-1481628988
> Context: In pandas I am working on supporting pyarrow backed data types in pandas working with datetime functionality. We have a `Series.dt.timetz` method that returns times + timezones of a time series, but to return this as a pyarrow backed data type the timezone information is lost. @mroeschke if we want to preserve that functionality in pandas, I think we can probably implement that differently there? (eg let it return object dtype with datetime.time objects, as it does now for datetime64tz?) -- 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]
