viirya commented on a change in pull request #27165: [SPARK-28264][PYTHON][SQL]
Support type hints in pandas UDF and rename/move inconsistent pandas UDF types
URL: https://github.com/apache/spark/pull/27165#discussion_r368838706
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File path: python/pyspark/sql/pandas/group_ops.py
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@@ -84,6 +94,45 @@ def apply(self, udf):
jdf = self._jgd.flatMapGroupsInPandas(udf_column._jc.expr())
return DataFrame(jdf, self.sql_ctx)
+ @since(3.0)
+ def applyInPandas(self, func, schema):
+ """
+ It is an alias :meth:`pyspark.sql.GroupedData.apply`; however, it
takes a Python
+ native function directly.
Review comment:
Will `pyspark.sql.GroupedData.apply` be deprecated future? If so, and as it
takes Python native func, will it be better not to say it is an alias of
`apply`?
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