pandas.Series.aggregate

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

Aggregate using callable, string, dict, or list of string/callables

New in version 0.20.0.

Parameters:

func : callable, string, dictionary, or list of string/callables

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)

Returns:

aggregated : Series

See also

pandas.Series.apply, pandas.Series.transform

Notes

Numpy functions mean/median/prod/sum/std/var are special cased so the default behavior is applying the function along axis=0 (e.g., np.mean(arr_2d, axis=0)) as opposed to mimicking the default Numpy behavior (e.g., np.mean(arr_2d)).

agg is an alias for aggregate. Use it.

Examples

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

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

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