lucas-nelson-uiuc commented on code in PR #48947:
URL: https://github.com/apache/spark/pull/48947#discussion_r1857165004
##########
python/pyspark/sql/classic/dataframe.py:
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@@ -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:
I feel like the same could be said about `DataFrame.transform`.
Before this was in the API, users would have to write `h(g(f(input_df)))`.
With transform, users now write
`input_df.transform(f).transform(g).transform(h)`. Implementing
`DataFrame.pipe` would shorten this expression to `input_df.pipe(f, g, h)`.
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