pastas.model.Model.get_output_series#

Model.get_output_series(tmin=None, tmax=None, add_contributions=True, split=True)[source]#

Method to get all the modeled output time series from the Model.

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.

  • add_contributions (bool, optional) – Add the contributions from the different stresses or not.¬

  • split (bool, optional) – Passed on to ml.get_contributions. Split the contribution from recharge into evaporation and precipitation. See also ml.get_contributions.

Returns

df – Pandas DataFrame with the time series as columns and DatetimeIndex.

Return type

pandas.DataFrame

Notes

Export the observed, simulated time series, the noise and residuals series, and the contributions from the different stressmodels.

Examples

>>> df = ml.get_output_series(tmin="2000", tmax="2010")
>>> df.to_csv("fname.csv")