You are viewing a plain text version of this content. The canonical link for it is here.

Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 04:04:21 UTC

[jira] [Updated] (SPARK-17804) Pandas dtypes are not correctly inferred by pyspark

     [ https://issues.apache.org/jira/browse/SPARK-17804?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon updated SPARK-17804:
---------------------------------
    Labels: bulk-closed  (was: )

> Pandas dtypes are not correctly inferred by pyspark
> ---------------------------------------------------
>
>                 Key: SPARK-17804
>                 URL: https://issues.apache.org/jira/browse/SPARK-17804
>             Project: Spark
>          Issue Type: Bug
>          Components: PySpark
>    Affects Versions: 2.0.0
>            Reporter: Georg Heiler
>            Priority: Major
>              Labels: bulk-closed
>
> As mentioned on SF http://stackoverflow.com/questions/39888188/pyspark-type-error-on-reading-a-pandas-dataframe/39889639?noredirect=1#comment67065964_39889639 pyspark has a problem correctly identifying the dtypes.



--
This message was sent by Atlassian JIRA
(v7.6.3#76005)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org