pyspark.pandas.Series.agg#
- Series.agg(func)#
- Aggregate using one or more operations over the specified axis. - Parameters
- funcstr or a list of str
- function name(s) as string apply to series. 
 
- Returns
- scalar, Series
- The return can be: - scalar : when Series.agg is called with single function - Series : when Series.agg is called with several functions 
 
 - See also - Series.apply
- Invoke function on a Series. 
- Series.transform
- Only perform transforming type operations. 
- Series.groupby
- Perform operations over groups. 
- DataFrame.aggregate
- The equivalent function for DataFrame. 
 - Notes - agg is an alias for aggregate. Use the alias. - Examples - >>> s = ps.Series([1, 2, 3, 4]) >>> s.agg('min') 1 - >>> s.agg(['min', 'max']).sort_index() max 4 min 1 dtype: int64