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aggregate(self, func, *args, **kwargs)

Notes

:None:None:`agg` is an alias for aggregate . Use the alias.

Functions that mutate the passed object can produce unexpected behavior or errors and are not supported. See gotchas.udf-mutation for more details.

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

Parameters

func : function, str, list or dict

Function to use for aggregating the data. If a function, must either work when passed a Series/Dataframe or when passed to Series/Dataframe.apply.

Accepted combinations are:

function
string function name
list of functions and/or function names, e.g. [np.sum, 'mean']
dict of axis labels -> functions, function names or list of such.

*args :

Positional arguments to pass to func .

**kwargs :

Keyword arguments to pass to func .

Returns

scalar, Series or DataFrame: The return can be:

Aggregate using one or more operations over the specified axis.

Examples

This example is valid syntax, but we were not able to check execution

>>> df = pd.DataFrame({"A": [1, 2, 3], "B": [4, 5, 6], "C": [7, 8, 9]})
... df
   A  B  C
0  1  4  7
1  2  5  8
2  3  6  9

This example is valid syntax, but we were not able to check execution

>>> df.ewm(alpha=0.5).mean()
          A         B         C
0  1.000000  4.000000  7.000000
1  1.666667  4.666667  7.666667
2  2.428571  5.428571  8.428571

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

pandas.core.window.expanding.Expanding.aggregate

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