HyukjinKwon commented on code in PR #38624:
URL: https://github.com/apache/spark/pull/38624#discussion_r1375549814
##########
python/pyspark/sql/pandas/group_ops.py:
##########
@@ -454,7 +581,7 @@ def applyInPandas(
the grouping key(s) will be passed as the first argument and the data
will be passed as the
second and third arguments. The grouping key(s) will be passed as a
tuple of numpy data
types, e.g., `numpy.int32` and `numpy.float64`. The data will still be
passed in as two
- `pandas.DataFrame` containing all columns from the original Spark
DataFrames.
+ `pandas.DataFrame`\\s containing all columns from the original Spark
DataFrames.
Review Comment:
why `\\s`?
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