Rolling.mean(*args, **kwargs) [source]
Calculate the rolling 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 rolling calculation. |
See also
Series.rolling DataFrame.rolling Series.mean DataFrame.mean 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
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http://pandas.pydata.org/pandas-docs/version/0.23.4/generated/pandas.core.window.Rolling.mean.html