pandas.core.window.rolling.Window.mean

Window.mean(*args, **kwargs)

Calculate the window mean of the values.

Parameters

*args

Under Review.

**kwargs

Under Review.

Returns

Series or DataFrame

Returned object type is determined by the caller of the window calculation.

See also

pandas.Series.window

Calling object with Series data.

pandas.DataFrame.window

Calling object with DataFrames.

pandas.Series.mean

Equivalent method for Series.

pandas.DataFrame.mean

Equivalent method for DataFrame.

Examples

The below examples will show rolling mean calculations with window sizes of two and three, respectively.

>>> s = pd.Series([1, 2, 3, 4])
>>> s.rolling(2).mean()
0    NaN
1    1.5
2    2.5
3    3.5
dtype: float64

>>> s.rolling(3).mean()
0    NaN
1    NaN
2    2.0
3    3.0
dtype: float64

pandas.core.window.rolling.Rolling.sem pandas.core.window.rolling.Window.sum