[jira] [Updated] (SPARK-49383) Support Transpose DataFrame API

["ASF GitHub Bot (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-49383?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

ASF GitHub Bot updated SPARK-49383:
-----------------------------------
    Labels: pull-request-available  (was: )

> Support Transpose DataFrame API
> -------------------------------
>
>                 Key: SPARK-49383
>                 URL: https://issues.apache.org/jira/browse/SPARK-49383
>             Project: Spark
>          Issue Type: New Feature
>          Components: Connect, PySpark, SQL
>    Affects Versions: 4.0.0
>            Reporter: Xinrong Meng
>            Priority: Major
>              Labels: pull-request-available
>
> Support Transpose as Scala/Python DataFrame API in both Spark Connect and Classic Spark.
> Transposing data is a crucial operation in data analysis, enabling the transformation of rows into columns. This operation is widely used in tools like pandas and numpy, allowing for more flexible data manipulation and visualization.
> While Apache Spark supports unpivot and pivot operations, it currently lacks a built-in transpose function. Implementing a transpose operation in Spark would enhance its data processing capabilities, aligning it with the functionalities available in pandas and numpy, and further empowering users in their data analysis workflows.
>  



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