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Posted to jira@arrow.apache.org by "Eric Du (Jira)" <ji...@apache.org> on 2020/12/16 05:14:01 UTC
[jira] [Created] (ARROW-10936) [Python] support dateutil timezones
Eric Du created ARROW-10936:
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Summary: [Python] support dateutil timezones
Key: ARROW-10936
URL: https://issues.apache.org/jira/browse/ARROW-10936
Project: Apache Arrow
Issue Type: New Feature
Components: Python
Affects Versions: 2.0.0
Reporter: Eric Du
Here are two main reasons:
# As of Python 3.6, the [tzinfo documentation |#tzinfo-objects]] recommends {{dateutil.tz}} rather than {{pytz}} as an IANA time zone provider.
# Pandas supports dateutil timezones.
When having a pandas DataFrame that uses a dateutil timezone, you get an error.
Below is a code sample:
{code:python}
import dateutil
tz = dateutil.tz.gettz('Asia/Shanghai')
df = pd.DataFrame({'a': list(range(1, 4)), 'b': pd.date_range('20130101', periods=3, tz=tz)})
df.to_feather('df.feather')
{code}
Errors:
{code:java}
ArrowInvalid: ('Object returned by tzinfo.utcoffset(None) is not an instance of datetime.timedelta', "Conversion failed for column b with type datetime64[ns, tzfile('/usr/share/zoneinfo/Asia/Shanghai')]"){code}
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