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_r244611833
##########
File path: python/pyspark/sql/dataframe.py
##########
@@ -2046,6 +2046,40 @@ def toDF(self, *cols):
jdf = self._jdf.toDF(self._jseq(cols))
return DataFrame(jdf, self.sql_ctx)
+ @since(3.0)
+ def transform(self, func):
+ """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
+ This is equiavalent to a nested call:
+ actual_df = with_something(with_greeting(source_df), "crazy"))
+
+ credit to:
https://medium.com/@mrpowers/chaining-custom-pyspark-transformations-4f38a8c7ae55
+
+ A more concrete example::
Review comment:
I actually would remove this line to be consistent with other doctests in
other APIs
----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on GitHub and use the
URL above to go to the specific comment.
For queries about this service, please contact Infrastructure at:
[email protected]
With regards,
Apache Git Services
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
