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From "Felix Cheung (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SPARK-23314) Pandas grouped udf on dataset with timestamp column error
Date Fri, 02 Feb 2018 07:19:00 GMT

     [ https://issues.apache.org/jira/browse/SPARK-23314?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Felix Cheung updated SPARK-23314:
---------------------------------
    Description: 
Under  SPARK-22216

When testing pandas_udf on group bys, I saw this error with the timestamp column.

File "pandas/_libs/tslib.pyx", line 3593, in pandas._libs.tslib.tz_localize_to_utc

AmbiguousTimeError: Cannot infer dst time from Timestamp('2015-11-01 01:29:30'), try using
the 'ambiguous' argument

For detailed on repo, see Comment box

  was:
Under  SPARK-22216

When testing pandas_udf on group bys, I saw this error with the timestamp column.

AmbiguousTimeError: Cannot infer dst time from Timestamp('2015-11-01 01:29:30'), try using
the 'ambiguous' argument

For detailed on repo, see Comment box


> Pandas grouped udf on dataset with timestamp column error 
> ----------------------------------------------------------
>
>                 Key: SPARK-23314
>                 URL: https://issues.apache.org/jira/browse/SPARK-23314
>             Project: Spark
>          Issue Type: Bug
>          Components: PySpark
>    Affects Versions: 2.3.0
>            Reporter: Felix Cheung
>            Priority: Major
>
> Under  SPARK-22216
> When testing pandas_udf on group bys, I saw this error with the timestamp column.
> File "pandas/_libs/tslib.pyx", line 3593, in pandas._libs.tslib.tz_localize_to_utc
> AmbiguousTimeError: Cannot infer dst time from Timestamp('2015-11-01 01:29:30'), try
using the 'ambiguous' argument
> For detailed on repo, see Comment box



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