HyukjinKwon commented on code in PR #37592:
URL: https://github.com/apache/spark/pull/37592#discussion_r950953141
##########
python/pyspark/sql/functions.py:
##########
@@ -1343,6 +1798,26 @@ def var_pop(col: "ColumnOrName") -> Column:
Aggregate function: returns the population variance of the values in a
group.
.. versionadded:: 1.6.0
+
+ Parameters
+ ----------
+ col : :class:`~pyspark.sql.Column` or str
+ target column to compute on.
+
+ Returns
+ -------
+ :class:`~pyspark.sql.Column`
+ variance of given column.
+
+ Examples
+ --------
+ >>> df = spark.range(6)
+ >>> df.select(var_pop(df.id)).show()
+ +------------------+
+ | var_pop(id)|
+ +------------------+
+ |2.9166666666666665|
Review Comment:
I think we should probably do ELLIPSIS since float representation is flaky
in Python (and JDK 11/17 IIRC)
##########
python/pyspark/sql/functions.py:
##########
@@ -1352,6 +1827,26 @@ def skewness(col: "ColumnOrName") -> Column:
Aggregate function: returns the skewness of the values in a group.
.. versionadded:: 1.6.0
+
+ Parameters
+ ----------
+ col : :class:`~pyspark.sql.Column` or str
+ target column to compute on.
+
+ Returns
+ -------
+ :class:`~pyspark.sql.Column`
+ skewness of given column.
+
+ Examples
+ --------
+ >>> df = spark.createDataFrame([[1],[1],[2]], ["c"])
+ >>> df.select(skewness(df.c)).show()
+ +------------------+
+ | skewness(c)|
+ +------------------+
+ |0.7071067811865475|
Review Comment:
ditto
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