pandas.Series.aggregate

Series.aggregate(func, axis=0, *args, **kwargs) [source]

Aggregate using one or more operations over the specified axis.

New in version 0.20.0.

Parameters:

func : function, string, dictionary, or list of string/functions Function to use for aggregating the data. If a function, must either work when passed a Series or when passed to Series.apply. For a DataFrame, can pass a dict, if the keys are DataFrame column names. Accepted combinations are: string function name. function. list of functions. dict of column names -> functions (or list of functions). axis : {0 or ‘index’} Parameter needed for compatibility with DataFrame. *args Positional arguments to pass to func. **kwargs Keyword arguments to pass to func.

Returns:

aggregated : Series

See also

pandas.Series.apply, pandas.Series.transform

Notes

agg is an alias for aggregate. Use the alias.

A passed user-defined-function will be passed a Series for evaluation.

Examples

>>> s = Series(np.random.randn(10))

>>> s.agg('min')
-1.3018049988556679

>>> s.agg(['min', 'max'])
min   -1.301805
max    1.127688
dtype: float64