lucas-nelson-uiuc commented on code in PR #48947:
URL: https://github.com/apache/spark/pull/48947#discussion_r1867891001
##########
python/pyspark/sql/classic/dataframe.py:
##########
@@ -1699,6 +1700,19 @@ def transform(
), "Func returned an instance of type [%s], " "should have been
DataFrame." % type(result)
return result
+ def pipe(
+ self, *funcs: tuple[Callable[..., ParentDataFrame]]
+ ) -> ParentDataFrame:
+ result = functools.reduce(
+ lambda init, func: init.transform(func),
Review Comment:
@HyukjinKwon any thoughts on my comment above? Also noticed that the
docstring for `DataFrame.transform` mentions it as a "concise syntax for
chaining custom transformations". The proposed `DataFrame.pipe` method would be
an even more concise syntax for performing the same task.
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