- std(x, weighted=True, max_gap=30)[source]#
Method to compute the (weighted) variance of a time series.
x (pandas.Series) – Series with the values and a DatetimeIndex as an index.
weighted (bool, optional) – Weight the values by the normalized time step to account for irregular time series. Default is True.
max_gap (int, optional) – maximum allowed gap period in days to use for the computation of the weights. All time steps larger than max_gap are replace with the mean weight. Default value is 90 days.
- Return type: