xinrong-databricks commented on code in PR #36148:
URL: https://github.com/apache/spark/pull/36148#discussion_r850622966
##########
python/pyspark/pandas/groupby.py:
##########
@@ -426,16 +427,45 @@ def last(self) -> FrameLike:
lambda col: F.last(col, ignorenulls=True), only_numeric=False
)
- def max(self) -> FrameLike:
+ def max(self, numeric_only: Optional[bool] = False) -> FrameLike:
"""
Compute max of group values.
+ Parameters
+ ----------
+ numeric_only : bool, default False
+ Include only float, int, boolean columns. If None, will attempt to
use
+ everything, then use only numeric data.
+
+ .. versionadded:: 3.4.0
+
See Also
--------
pyspark.pandas.Series.groupby
pyspark.pandas.DataFrame.groupby
+
+ Examples
+ --------
+ >>> df = ps.DataFrame({"A": [1, 2, 1, 2], "B": [True, False, False,
True],
+ ... "C": [3, 4, 3, 4], "D": ["a", "b", "b", "a"]})
+
+ >>> df.groupby("A").max().sort_index()
+ B C D
+ A
+ 1 True 3 b
+ 2 True 4 b
Review Comment:
Thank you :)
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