pastas.stressmodels.WellModel.get_stress
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.. py:method:: pastas.stressmodels.WellModel.get_stress(p: pastas.typing.ArrayLike | None = None, tmin: pandas.Timestamp | str | None = None, tmax: pandas.Timestamp | str | None = None, freq: str | None = None, istress: int | None = None, squeeze: bool = True, **kwargs) -> pandas.DataFrame

   
   Returns the stress(es) of the time series object as a pandas DataFrame.

   If the time series object has multiple stresses each column represents a stress.

   :returns: **stress** -- Pandas dataframe of the stress(es)
   :rtype: pandas.Dataframe















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