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pastas.model.Model.observations#

Model.observations(tmin=None, tmax=None, freq=None, update_observations=False)[source]#

Method that returns the observations series used for calibration.

Parameters
  • tmin (str, optional) – String with a start date for the simulation period (E.g. ‘1980’). If none is provided, the tmin from the oseries is used.

  • tmax (str, optional) – String with an end date for the simulation period (E.g. ‘2010’). If none is provided, the tmax from the oseries is used.

  • freq (str, optional) – String with the frequency the stressmodels are simulated. Must be one of the following: (D, h, m, s, ms, us, ns) or a multiple of that e.g. “7D”.

  • update_observations (bool, optional) – If True, force recalculation of the observations, default is False.

Returns

oseries_calib – pandas series of the oseries used for calibration of the model.

Return type

pandas.Series

Notes

This method makes sure the simulation is compared to the nearest observation. It finds the index closest to sim_index, and then returns a selection of the oseries. In the residuals method, the simulation is interpolated to the observation-timestamps.