[ 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. 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 Environment 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. > 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 -- This message was sent by Atlassian JIRA (v7.6.3#76005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org