bigframes.pandas.api.typing.SeriesGroupBy.agg

SeriesGroupBy.agg(func=None) → DataFrame | Series

Aggregate using one or more operations.

Examples:

>>> s = bpd.Series([1, 2, 3, 4], index=[1, 1, 2, 2])
>>> s.groupby(level=0).agg(['min', 'max'])
   min  max
1    1    2
2    3    4

[2 rows x 2 columns]

Parameters:

func –

function, str, list, dict or None Function to use for aggregating the data.

Accepted combinations are:

• string function name

• list of function names, e.g. ['sum', 'mean']

Returns:

A BigQuery Series.

Return type:

bigframes.pandas.Series