mean

Returns the average of the values in a group. An alias of avg.

Syntax

from pyspark.sql import functions as sf

sf.mean(col)

Parameters

Parameter	Type	Description
col	pyspark.sql.Column or column name	Target column to compute on.

Returns

pyspark.sql.Column: the column for computed results.

Examples

Example 1: Calculating the average age

import pyspark.sql.functions as sf
df = spark.createDataFrame([(1982, 15), (1990, 2)], ["birth", "age"])
df.select(sf.mean("age")).show()

+--------+
|avg(age)|
+--------+
|     8.5|
+--------+

Example 2: Calculating the average age with None

import pyspark.sql.functions as sf
df = spark.createDataFrame([(1982, None), (1990, 2), (2000, 4)], ["birth", "age"])
df.select(sf.mean("age")).show()

+--------+
|avg(age)|
+--------+
|     3.0|
+--------+