- pandas.rolling_std(arg, window, min_periods=None, freq=None, center=False, how=None, **kwargs)¶
Moving standard deviation.
arg : Series, DataFrame
window : int
Size of the moving window. This is the number of observations used for calculating the statistic.
min_periods : int, default None
Minimum number of observations in window required to have a value (otherwise result is NA).
freq : string or DateOffset object, optional (default None)
Frequency to conform the data to before computing the statistic. Specified as a frequency string or DateOffset object.
center : boolean, default False
Set the labels at the center of the window.
how : string, default ‘None’
Method for down- or re-sampling
ddof : int, default 1
Delta Degrees of Freedom. The divisor used in calculations is N - ddof, where N represents the number of elements.
y : type of input argument
By default, the result is set to the right edge of the window. This can be changed to the center of the window by setting center=True.
The freq keyword is used to conform time series data to a specified frequency by resampling the data. This is done with the default parameters of resample() (i.e. using the mean).