pandas.core.window.rolling.Rolling.sum

Rolling.sum(*args, **kwargs)

Calculate rolling sum of given DataFrame or Series.

Parameters

*args, **kwargs

For compatibility with other rolling methods. Has no effect on the computed value.

Returns

Series or DataFrame

Same type as the input, with the same index, containing the rolling sum.

See also

pandas.Series.sum

Reducing sum for Series.

pandas.DataFrame.sum

Reducing sum for DataFrame.

Examples

>>> s = pd.Series([1, 2, 3, 4, 5])
>>> s
0    1
1    2
2    3
3    4
4    5
dtype: int64

>>> s.rolling(3).sum()
0     NaN
1     NaN
2     6.0
3     9.0
4    12.0
dtype: float64

>>> s.expanding(3).sum()
0     NaN
1     NaN
2     6.0
3    10.0
4    15.0
dtype: float64

>>> s.rolling(3, center=True).sum()
0     NaN
1     6.0
2     9.0
3    12.0
4     NaN
dtype: float64

For DataFrame, each rolling sum is computed column-wise.

>>> df = pd.DataFrame({"A": s, "B": s ** 2})
>>> df
   A   B
0  1   1
1  2   4
2  3   9
3  4  16
4  5  25

>>> df.rolling(3).sum()
      A     B
0   NaN   NaN
1   NaN   NaN
2   6.0  14.0
3   9.0  29.0
4  12.0  50.0

pandas.core.window.rolling.Rolling.count pandas.core.window.rolling.Rolling.mean