[jira] [Updated] (ARROW-5248) [Python] support dateutil timezones

["Joris Van den Bossche (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/ARROW-5248?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Joris Van den Bossche updated ARROW-5248:
-----------------------------------------
    Fix Version/s: 3.0.0

> [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
>            Priority: Minor
>              Labels: beginner
>             Fix For: 3.0.0
>
>
> 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.



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