pastas.stressmodels.WellModel.get_parameters ============================================ .. py:method:: pastas.stressmodels.WellModel.get_parameters(model=None, istress: int | list[int] | None = None) -> pastas.typing.ArrayLike Get parameters of the wellmodel. Including distance to observation point and return as array (dimensions = (nstresses, 4)). :param model: If provided, and the model is solved, return optimal model parameter-values. Otherwise, return initial parameter-values. :type model: pastas.Model, optional :param istress: if provided, return specific parameter set, else return all parameters. :type istress: int, optional :returns: **p** -- parameters for each stress as row of array, if istress is used returns only one row. :rtype: array_like .. !! processed by numpydoc !!