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https://issues.apache.org/jira/browse/SPARK-53053?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Peter Nguyen updated SPARK-53053:
---------------------------------
Description:
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 (e.g Dask). 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]
was:
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 (e.g Dask). By override the
_constructor method,
def _constructor(self):
return MyDataFrame
all functions like head() and getitem return the object using that type
(MyDataFrame) 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)
https://pandas.pydata.org/docs/development/extending.html#override-constructor-properties
> 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
>
> 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 (e.g Dask). 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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