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Posted to issues@spark.apache.org by "ASF GitHub Bot (Jira)" <ji...@apache.org> on 2026/05/22 14:42:00 UTC

[jira] [Updated] (SPARK-53053) Support Pandas Extension Properties

     [ https://issues.apache.org/jira/browse/SPARK-53053?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

ASF GitHub Bot updated SPARK-53053:
-----------------------------------
    Labels: pull-request-available  (was: )

> Support Pandas Extension Properties
> -----------------------------------
>
>                 Key: SPARK-53053
>                 URL: https://issues.apache.org/jira/browse/SPARK-53053
>             Project: Spark
>          Issue Type: Bug
>          Components: Pandas API on Spark
>    Affects Versions: 4.1.0
>            Reporter: Peter Nguyen
>            Priority: Major
>              Labels: pull-request-available
>
> Original pandas supports properties like _constructor that are can be used to easily override what datatype is returned by default when downstream libraries are built to inherit from pandas classes. By override the _constructor method, all functions like head() and getitem return the object using that type instead of a normal Pandas dataframe. To implement this, we would have to manually modify functions like self.head() to return self._constructor(result) instead of DataFrame(result)
> {code:java}
> class SubclassedDataFrame(pd.DataFrame):
>     @property
>     def _constructor(self):
>         return SubclassedDataFrame
>     @property
>     def _constructor_sliced(self):
>         return SubclassedSeries {code}
> [https://pandas.pydata.org/docs/development/extending.html#override-constructor-properties]



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