pastas.model.Model.get_block_response
=====================================

.. py:method:: pastas.model.Model.get_block_response(name: str, p: pastas.typing.ArrayLike | None = None, add_0: bool = False, dt: float | None = None, **kwargs) -> pandas.Series | None

   
   Method to obtain the block response for a stressmodel.

   The optimal parameters are used when available, initial otherwise.

   :param name: String with the name of the stressmodel.
   :type name: str
   :param p: array_like object with the values as floats representing the model
             parameters. See Model.get_parameters() for more info if parameters is None.
   :type p: array_like, optional
   :param add_0: Adds 0 at t=0 at the start of the response, defaults to False.
   :type add_0: bool, optional
   :param dt: timestep for the response function.
   :type dt: float, optional
   :param kwargs: Kwargs are passed onto _get_response()
   :type kwargs: dict, optional

   :returns: **b** -- Pandas.Series with the block response. The index is based on the
             frequency that is present in the model.settings.
   :rtype: pandas.Series or None















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