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https://issues.apache.org/jira/browse/SPARK-23314?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16356189#comment-16356189
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Apache Spark commented on SPARK-23314:
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User 'icexelloss' has created a pull request for this issue:
https://github.com/apache/spark/pull/20537
> 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: Sub-task
> 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 details, see Comment box. I'm able to reproduce this on the latest
> branch-2.3 (last change from Feb 1 UTC)
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