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:
axis : {0 or ‘index’} Parameter needed for compatibility with DataFrame. *args Positional arguments to pass to **kwargs Keyword arguments to pass to |
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Returns: |
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See also
agg
is an alias for aggregate
. Use the alias.
A passed user-defined-function will be passed a Series for evaluation.
>>> s = Series(np.random.randn(10))
>>> s.agg('min') -1.3018049988556679
>>> s.agg(['min', 'max']) min -1.301805 max 1.127688 dtype: float64
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http://pandas.pydata.org/pandas-docs/version/0.23.4/generated/pandas.Series.aggregate.html