pandas.core.window.rolling.Rolling.aggregate

函数定义

Rolling.aggregate(func, *args, **kwargs)

Aggregate using one or more operations over the specified axis.

函数参数

• 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.

函数返回值

Returns:scalar, Series or DataFrame
The return can be:

• scalar : when Series.agg is called with single function

• Series : when DataFrame.agg is called with a single function

• DataFrame : when DataFrame.agg is called with several functions

注：agg is an alias for aggregate. Use the alias.

例子

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

df.rolling(2).sum()
     A     B     C
0  NaN   NaN   NaN
1  3.0   9.0  15.0
2  5.0  11.0  17.0

df.rolling(2).agg({"A": "sum", "B": "min"})
     A    B
0  NaN  NaN
1  3.0  4.0
2  5.0  5.0