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:
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")