pandas.core.resample.Resampler.std#

finalResampler.std(ddof=1, numeric_only=False)[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.

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年01月01日",
...  "2023年01月10日",
...  "2023年01月15日",
...  "2023年02月01日",
...  "2023年02月10日",
...  "2023年02月15日",
...  ]
...  ),
... )
>>> ser.resample("MS").std()
2023年01月01日 1.000000
2023年02月01日 2.645751
Freq: MS, dtype: float64

pandas.core.resample.Resampler.std#

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