HyukjinKwon commented on a change in pull request #23414: [Spark
26449][PYSPARK] add a transform method to the Dataframe class
URL: https://github.com/apache/spark/pull/23414#discussion_r244536649
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File path: python/pyspark/sql/dataframe.py
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@@ -2045,7 +2045,46 @@ def toDF(self, *cols):
"""
jdf = self._jdf.toDF(self._jseq(cols))
return DataFrame(jdf, self.sql_ctx)
-
+
+ @since(3.0)
+ def transform(self, func, *args, **kwargs):
+ """Returns a new class:`DataFrame` according to a user-defined custom
transform method.
+ This allows chaining transformations rather than using nested or
temporary variables.
+
+ :param func: a user-defined custom transform function
+ :param *args: optional positional arguments to pass to `func`
+ :param **kwargs: optional keywarded arguments to pass to `func`
+
+ A more concrete example::
Review comment:
Let's make it to doctests
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