pandas.core.resample.Resampler.std

final Resampler.std(ddof=1, numeric_only=False)

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.

See also

core.resample.Resampler.mean

Compute mean of groups, excluding missing values.

core.resample.Resampler.median

Compute median of groups, excluding missing values.

core.resample.Resampler.var

Compute variance of groups, excluding missing values.

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