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Posted to issues@spark.apache.org by "Hyukjin Kwon (Jira)" <ji...@apache.org> on 2019/10/08 05:43:14 UTC

[jira] [Resolved] (SPARK-21722) Enable timezone-aware timestamp type when creating Pandas DataFrame.

     [ https://issues.apache.org/jira/browse/SPARK-21722?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon resolved SPARK-21722.
----------------------------------
    Resolution: Incomplete

> Enable timezone-aware timestamp type when creating Pandas DataFrame.
> --------------------------------------------------------------------
>
>                 Key: SPARK-21722
>                 URL: https://issues.apache.org/jira/browse/SPARK-21722
>             Project: Spark
>          Issue Type: Improvement
>          Components: PySpark, SQL
>    Affects Versions: 2.3.0
>            Reporter: Takuya Ueshin
>            Priority: Major
>              Labels: bulk-closed
>
> Make Pandas DataFrame with timezone-aware timestamp type when converting DataFrame to Pandas DataFrame by pyspark.sql.DataFrame.toPandas.
> The session local timezone is used for the timezone.



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