avg (GroupedData)

Computes average values for each numeric column for each group.

mean is an alias for avg.

Syntax

avg(*cols)

Parameters

Parameter	Type	Description
cols	str	Column names. Non-numeric columns are ignored.

Returns

DataFrame

Examples

Python

df = spark.createDataFrame([
    (2, "Alice", 80), (3, "Alice", 100),
    (5, "Bob", 120), (10, "Bob", 140)], ["age", "name", "height"])

# Group-by name, and calculate the mean of the age in each group.
df.groupBy("name").avg('age').sort("name").show()
# +-----+--------+
# | name|avg(age)|
# +-----+--------+
# |Alice|     2.5|
# |  Bob|     7.5|
# +-----+--------+

# Calculate the mean of the age and height in all data.
df.groupBy().avg('age', 'height').show()
# +--------+-----------+
# |avg(age)|avg(height)|
# +--------+-----------+
# |     5.0|      110.0|
# +--------+-----------+