xorbits.pandas.window.Expanding.mean#
- Expanding.mean()[源代码]#
Calculate the expanding mean.
- 参数
numeric_only (bool, default False (Not supported yet)) –
Include only float, int, boolean columns.
1.5.0(pandas) 新版功能.
engine (str, default None (Not supported yet)) –
'cython'
: Runs the operation through C-extensions from cython.'numba'
: Runs the operation through JIT compiled code from numba.None
: Defaults to'cython'
or globally settingcompute.use_numba
1.3.0(pandas) 新版功能.
engine_kwargs (dict, default None (Not supported yet)) –
For
'cython'
engine, there are no acceptedengine_kwargs
For
'numba'
engine, the engine can acceptnopython
,nogil
andparallel
dictionary keys. The values must either beTrue
orFalse
. The defaultengine_kwargs
for the'numba'
engine is{'nopython': True, 'nogil': False, 'parallel': False}
1.3.0(pandas) 新版功能.
- 返回
Return type is the same as the original object with
np.float64
dtype.- 返回类型
参见
pandas.Series.expanding
Calling expanding with Series data.
pandas.DataFrame.expanding
Calling expanding with DataFrames.
pandas.Series.mean
Aggregating mean for Series.
pandas.DataFrame.mean
Aggregating mean for DataFrame.
提示
See window.numba_engine and enhancingperf.numba for extended documentation and performance considerations for the Numba engine.
实际案例
>>> ser = pd.Series([1, 2, 3, 4], index=['a', 'b', 'c', 'd']) >>> ser.expanding().mean() a 1.0 b 1.5 c 2.0 d 2.5 dtype: float64
This docstring was copied from pandas.core.window.expanding.Expanding.