pandas.Series.aggregate¶
-
Series.
aggregate
(func, axis=0, *args, **kwargs)[source]¶ 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
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 the alias.
Examples
>>> s = Series(np.random.randn(10))
>>> s.agg('min') -1.3018049988556679
>>> s.agg(['min', 'max']) min -1.301805 max 1.127688 dtype: float64