pyspark.sql.GroupedData.sum¶
-
GroupedData.sum(*cols: str) → pyspark.sql.dataframe.DataFrame¶ Computes the sum for each numeric columns for each group.
- Parameters
- colsstr
column names. Non-numeric columns are ignored.
Examples
>>> df.groupBy().sum('age').collect() [Row(sum(age)=7)] >>> df3.groupBy().sum('age', 'height').collect() [Row(sum(age)=7, sum(height)=165)]