pyspark.sql.functions.kurtosis

pyspark.sql.functions.kurtosis(col)

Aggregate function: returns the kurtosis of the values in a group.

New in version 1.6.0.

Changed in version 3.4.0: Supports Spark Connect.

Parameters

colColumn or column name

target column to compute on.

Returns

Column

kurtosis of given column.

See also

pyspark.sql.functions.std()

pyspark.sql.functions.stddev()

pyspark.sql.functions.variance()

pyspark.sql.functions.skewness()

Examples

>>> from pyspark.sql import functions as sf
>>> df = spark.createDataFrame([[1],[1],[2]], ["c"])
>>> df.select(sf.kurtosis(df.c)).show()
+-----------+
|kurtosis(c)|
+-----------+
|       -1.5|
+-----------+