aggregate(self, func, *args, **kwargs)
: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.
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.
Positional arguments to pass to func
.
Keyword arguments to pass to func
.
The return can be:
Aggregate using one or more operations over the specified axis.
pandas.DataFrame.rolling
Calling object with DataFrame data.
pandas.Series.rolling
Calling object with Series data.
>>> df = pd.DataFrame({"A": [1, 2, 3], "B": [4, 5, 6], "C": [7, 8, 9]})This example is valid syntax, but we were not able to check execution
... df A B C 0 1 4 7 1 2 5 8 2 3 6 9
>>> df.rolling(2).sum() A B C 0 NaN NaN NaN 1 3.0 9.0 15.0 2 5.0 11.0 17.0This example is valid syntax, but we were not able to check execution
>>> df.rolling(2).agg({"A": "sum", "B": "min"}) A B 0 NaN NaN 1 3.0 4.0 2 5.0 5.0See :
The following pages refer to to this document either explicitly or contain code examples using this.
pandas.core.window.rolling.Rolling.aggregate
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