emkornfield commented on issue #9781: URL: https://github.com/apache/arrow/issues/9781#issuecomment-805451756
Hi @guidocioni, You could probably read the data into an [arrow table](https://arrow.apache.org/docs/python/generated/pyarrow.parquet.read_table.html?highlight=read_table#pyarrow.parquet.read_table) and use the `timestamp_as_object` object when calling [`to_pandas`](https://arrow.apache.org/docs/python/generated/pyarrow.Table.html?highlight=to_pandas#pyarrow.Table.to_pandas) then do the filtering yourself. In general, we prefer to answer questions on the [user@](https://arrow.apache.org/docs/developers/contributing.html#join-the-mailing-lists) or if appropriate dev@ mailing list to answer questions. So I'm going to resolve this issue for now. -- 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. For queries about this service, please contact Infrastructure at: [email protected]
