pastas.model.Model.set_parameter
================================

.. py:method:: pastas.model.Model.set_parameter(name: str, initial: float | None = None, vary: bool | None = None, pmin: float | None = None, pmax: float | None = None, optimal: float | None = None, dist: str | None = None, move_bounds: bool = False) -> None

   
   Method to change the parameter properties.

   :param name: name of the parameter to update. This has to be a single variable.
   :type name: str
   :param initial: parameters value to use as initial estimate.
   :type initial: float, optional
   :param vary: boolean to vary a parameter (True) or not (False).
   :type vary: bool, optional
   :param pmin: minimum value for the parameter.
   :type pmin: float, optional
   :param pmax: maximum value for the parameter.
   :type pmax: float, optional
   :param optimal: optimal value for the parameter.
   :type optimal: float, optional
   :param dist: Distribution of the parameters.
   :type dist: str, optional
   :param move_bounds: Reset pmin/pmax based on new initial value. Of move_bounds=True, pmin and
                       pmax must be None.
   :type move_bounds: bool, optional

   .. rubric:: Examples

   >>> ml.set_parameter(name="constant_d", initial=10, vary=True,
   >>>                  pmin=-10, pmax=20)

   .. rubric:: Notes

   It is highly recommended to use this method to set parameter properties.
   Changing the parameter properties directly in the parameter `DataFrame` may
   not work as expected.















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