pandas.core.window.expanding.Expanding.sum

Expanding.sum(*args, **kwargs)

Calculate expanding sum of given DataFrame or Series.

Parameters

*args, **kwargs

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

Returns

Series or DataFrame

Same type as the input, with the same index, containing the expanding 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 expanding 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.expanding.Expanding.count pandas.core.window.expanding.Expanding.mean