pastas.stressmodels.LinearTrend
===============================

.. toctree::
   :hidden:

   /api/pastas/stressmodels/LinearTrend.set_init_parameters
   /api/pastas/stressmodels/LinearTrend.simulate
   /api/pastas/stressmodels/LinearTrend.to_dict

.. py:class:: pastas.stressmodels.LinearTrend(tstart: pandas.Timestamp | str | None = None, tend: pandas.Timestamp | str | None = None, name: str = 'trend', start: pandas.Timestamp | str | None = None, end: pandas.Timestamp | str | None = None)



   
   Stressmodel that simulates a linear trend.

   :param tstart: String with a date to start the trend (e.g., "2018-01-01"), will be
                  transformed to an ordinal number internally.
   :type tstart: str or Timestamp
   :param tend: String with a date to end the trend (e.g., "2018-01-01"), will be transformed
                to an ordinal number internally.
   :type tend: str or Timestamp
   :param name: Name of the stressmodel. Default is "trend".
   :type name: str, optional

   .. rubric:: Notes

   While possible, it is not recommended to vary the parameters for the start and
   end time of the linear trend. These parameters are usually hard or even impossible
   to estimate from the data.















   ..
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   .. py:property:: stresses
      :type: tuple


      
      Return the stresses used by the stress model.
















      ..
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   .. py:property:: nsplit
      :type: int


      
      Determine in how many time series the contribution can be split.
















      ..
          !! processed by numpydoc !!

Methods
-------

.. autoapisummary::

   pastas.stressmodels.LinearTrend.set_init_parameters
   pastas.stressmodels.LinearTrend.simulate
   pastas.stressmodels.LinearTrend.to_dict