pandas.core.resample.Resampler.std#
- final Resampler.std(ddof=1, numeric_only=False, *args, **kwargs)[source]#
Compute standard deviation of groups, excluding missing values.
- Parameters:
- ddofint, default 1
Degrees of freedom.
- numeric_onlybool, default False
Include only float, int or boolean data.
Added in version 1.5.0.
Changed in version 2.0.0: numeric_only now defaults to
False
.
- Returns:
- DataFrame or Series
Standard deviation of values within each group.
Examples
>>> ser = pd.Series([1, 3, 2, 4, 3, 8], ... index=pd.DatetimeIndex(['2023-01-01', ... '2023-01-10', ... '2023-01-15', ... '2023-02-01', ... '2023-02-10', ... '2023-02-15'])) >>> ser.resample('MS').std() 2023-01-01 1.000000 2023-02-01 2.645751 Freq: MS, dtype: float64