js8544 commented on issue #37509: URL: https://github.com/apache/arrow/issues/37509#issuecomment-1702917005
That's because the top level `timestamp` column is of type `datetime64`, which can correctly be converted to pyarrow timestamp: ```python >>> print(df['timestamp'].dtype) datetime64[ns, UTC] ``` Perhaps you should ask the Pandas community about this inconsistency. -- 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]
