pyspark.pandas.Series.aggregate

Series.aggregate(func: Union[str, List[str]]) → Union[int, float, bool, str, bytes, decimal.Decimal, datetime.date, datetime.datetime, None, pyspark.pandas.series.Series]

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

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