The default behavior for adding and solving with noisemodels has changed from Pastas 1.5. Find more information here

pastas.model.Model.get_tmin#

Model.get_tmin(tmin=None, use_oseries=True, use_stresses=False)[source]#

Method that checks and returns valid values for tmin.

Parameters
  • tmin (str or pandas.Timestamp, optional) – string with a year or date that can be turned into a pandas Timestamp ( e.g. pd.Timestamp(tmin)).

  • use_oseries (bool, optional) – Obtain the tmin and tmax from the oseries. Default is True.

  • use_stresses (bool, optional) – Obtain the tmin and tmax from the stresses. The minimum/maximum time from all stresses is taken.

Returns

tmin – returns pandas timestamps for tmin.

Return type

pandas.Timestamp

Notes

The parameters tmin and tmax are leading, unless use_oseries is True, then these are checked against the oseries index. The tmin and tmax are checked and returned according to the following rules:

  1. If no value for tmin is provided:

    1. If the use_oseries argument is True, tmin is based on the oseries.

    2. If the use_stresses argument is True, tmin is based on the stressmodels.

  2. If a values for tmin is provided:

    1. A pandas timestamp is made from the string

    2. If the use_oseries argument is True, tmin is checked against oseries.