[ https://issues.apache.org/jira/browse/ARROW-5248?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Alenka Frim reassigned ARROW-5248: ---------------------------------- Assignee: Alenka Frim > [Python] support dateutil timezones > ----------------------------------- > > Key: ARROW-5248 > URL: https://issues.apache.org/jira/browse/ARROW-5248 > Project: Apache Arrow > Issue Type: Bug > Components: Python > Reporter: Joris Van den Bossche > Assignee: Alenka Frim > Priority: Minor > Labels: beginner > Fix For: 8.0.0 > > > The {{dateutil}} packages also provides a set of timezone objects > (https://dateutil.readthedocs.io/en/stable/tz.html) in addition to {{pytz}}. > In pyarrow, we only support pytz timezones (and the stdlib datetime.timezone > fixed offset): > {code} > In [2]: import dateutil.tz > > > In [3]: import pyarrow as pa > > > In [5]: pa.timestamp('us', dateutil.tz.gettz('Europe/Brussels')) > > > ... > ~/miniconda3/envs/dev37/lib/python3.7/site-packages/pyarrow/types.pxi in > pyarrow.lib.tzinfo_to_string() > ValueError: Unable to convert timezone > `tzfile('/usr/share/zoneinfo/Europe/Brussels')` to string > {code} > But pandas also supports dateutil timezones. As a consequence, when having a > pandas DataFrame that uses a dateutil timezone, you get an error when > converting to an arrow table. -- This message was sent by Atlassian Jira (v8.20.1#820001)