pyspark.sql.GroupedData.avg

GroupedData.avg(*cols: str) → pyspark.sql.dataframe.DataFrame

Computes average values for each numeric columns for each group.

mean() is an alias for avg().

Parameters

colsstr

column names. Non-numeric columns are ignored.

Examples

>>> df.groupBy().avg('age').collect()
[Row(avg(age)=3.5)]
>>> df3.groupBy().avg('age', 'height').collect()
[Row(avg(age)=3.5, avg(height)=82.5)]

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