[jira] [Assigned] (SPARK-42574) DataFrame.toPandas should handle duplicated column names

2023-02-26 Thread Hyukjin Kwon (Jira) 


 [ 
https://issues.apache.org/jira/browse/SPARK-42574?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Hyukjin Kwon reassigned SPARK-42574:


Assignee: Takuya Ueshin

> DataFrame.toPandas should handle duplicated column names
> 
>
> Key: SPARK-42574
> URL: https://issues.apache.org/jira/browse/SPARK-42574
> Project: Spark
>  Issue Type: Sub-task
>  Components: Connect
>Affects Versions: 3.4.0
>Reporter: Takuya Ueshin
>Assignee: Takuya Ueshin
>Priority: Major
>
> {code:python}
> spark.sql("select 1 v, 1 v").toPandas()
> {code}
> should work.



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[jira] [Assigned] (SPARK-42574) DataFrame.toPandas should handle duplicated column names

2023-02-24 Thread Apache Spark (Jira) 


 [ 
https://issues.apache.org/jira/browse/SPARK-42574?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Apache Spark reassigned SPARK-42574:


Assignee: Apache Spark

> DataFrame.toPandas should handle duplicated column names
> 
>
> Key: SPARK-42574
> URL: https://issues.apache.org/jira/browse/SPARK-42574
> Project: Spark
>  Issue Type: Sub-task
>  Components: Connect
>Affects Versions: 3.4.0
>Reporter: Takuya Ueshin
>Assignee: Apache Spark
>Priority: Major
>
> {code:python}
> spark.sql("select 1 v, 1 v").toPandas()
> {code}
> should work.



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[jira] [Assigned] (SPARK-42574) DataFrame.toPandas should handle duplicated column names

2023-02-24 Thread Apache Spark (Jira) 


 [ 
https://issues.apache.org/jira/browse/SPARK-42574?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Apache Spark reassigned SPARK-42574:


Assignee: (was: Apache Spark)

> DataFrame.toPandas should handle duplicated column names
> 
>
> Key: SPARK-42574
> URL: https://issues.apache.org/jira/browse/SPARK-42574
> Project: Spark
>  Issue Type: Sub-task
>  Components: Connect
>Affects Versions: 3.4.0
>Reporter: Takuya Ueshin
>Priority: Major
>
> {code:python}
> spark.sql("select 1 v, 1 v").toPandas()
> {code}
> should work.



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