zhengruifeng commented on code in PR #53925:
URL: https://github.com/apache/spark/pull/53925#discussion_r2719342044


##########
python/pyspark/pandas/groupby.py:
##########
@@ -1955,12 +1955,16 @@ def apply(self, func: Callable, *args: Any, **kwargs: 
Any) -> Union[DataFrame, S
             psdf, self._groupkeys, agg_columns
         )
 
+        if LooseVersion(pd.__version__) < "3.0.0":

Review Comment:
   The test image is still pandas 2.3.3,
   `mlflow` is one of pyspark dependencies, and currently the latest `mlflow` 
require `pandas<3`.
   
   Let me try to add a scheduled job for pandas 3, so that we will know to what 
degree pyspark is broken.



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