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pastas.stats.core.std#

std(x, weighted=True, max_gap=30)[source]#

Method to compute the (weighted) variance of a time series.

Parameters
  • 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

ArrayLike

See also

ps.stats.mean, ps.stats.var