xorbits.pandas.DataFrame.expanding#

DataFrame.expanding(min_periods=1, axis=0)#

Provide expanding window calculations.

参数

  • min_periods (int, default 1) – Minimum number of observations in window required to have a value; otherwise, result is np.nan.

  • axis (int or str, default 0) –

    If 0 or 'index', roll across the rows.

    If 1 or 'columns', roll across the columns.

    For Series this parameter is unused and defaults to 0.

  • method (str {'single', 'table'}, default 'single' (Not supported yet)) –

    Execute the rolling operation per single column or row ('single') or over the entire object ('table').

    This argument is only implemented when specifying engine='numba' in the method call.

    1.3.0(pandas) 新版功能.

返回类型

pandas.api.typing.Expanding

参见

rolling

Provides rolling window calculations.

ewm

Provides exponential weighted functions.

提示

See Windowing Operations for further usage details and examples.

实际案例

>>> df = pd.DataFrame({"B": [0, 1, 2, np.nan, 4]})  
>>> df  
     B
0  0.0
1  1.0
2  2.0
3  NaN
4  4.0

min_periods

Expanding sum with 1 vs 3 observations needed to calculate a value.

>>> df.expanding(1).sum()  
     B
0  0.0
1  1.0
2  3.0
3  3.0
4  7.0
>>> df.expanding(3).sum()  
     B
0  NaN
1  NaN
2  3.0
3  3.0
4  7.0

This docstring was copied from pandas.core.frame.DataFrame.