ueshin commented on code in PR #52885:
URL: https://github.com/apache/spark/pull/52885#discussion_r2492878802
##########
python/pyspark/sql/pandas/group_ops.py:
##########
@@ -73,12 +73,12 @@ def apply(self, udf: "GroupedMapPandasUserDefinedFunction")
-> "DataFrame":
>>> df = spark.createDataFrame(
... [(1, 1.0), (1, 2.0), (2, 3.0), (2, 5.0), (2, 10.0)],
... ("id", "v"))
- >>> @pandas_udf("id long, v double", PandasUDFType.GROUPED_MAP) #
doctest: +SKIP
+ >>> @pandas_udf("id long, v double", PandasUDFType.GROUPED_MAP)
... def normalize(pdf):
... v = pdf.v
... return pdf.assign(v=(v - v.mean()) / v.std())
...
- >>> df.groupby("id").apply(normalize).show() # doctest: +SKIP
+ >>> df.groupby("id").apply(normalize).show()
Review Comment:
nit: we may want to sort to make the result stable?
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