pastas.plotting.modelplots.Plotting.contribution
================================================

.. py:method:: pastas.plotting.modelplots.Plotting.contribution(tmin: pandas.Timestamp | str | None = None, tmax: pandas.Timestamp | str | None = None, name: str | None = None, plot_stress: bool = True, plot_response: bool = False, block_or_step: Literal['block', 'step'] = 'step', istress: int | None = None, ax: pastas.typing.Axes | None = None, **kwargs) -> dict[str, pastas.typing.Axes]

   
   Plot the contribution of a stressmodel and optionally the stress and the response.

   :param tmin: A string or pandas.Timestamp with the start date for the period
                (E.g. '1980-01-01 00:00:00'). Strings are converted to
                pandas.Timestamp internally.
   :type tmin: pandas.Timestamp or str, optional
   :param tmax: A string or pandas.Timestamp with the end date for the period
                (E.g. '2020-01-01 00:00:00'). Strings are converted to
                pandas.Timestamp internally.
   :type tmax: pandas.Timestamp or str, optional
   :param name: Name of the stressmodel to plot the contribution for.
   :type name: str, optional
   :param plot_stress: Plot the stress on an overlay axes.
   :type plot_stress: bool, optional
   :param plot_response: Plot the step response on a separate axes on the right.
   :type plot_response: bool, optional
   :param block_or_step: Type of response to plot, either 'block' or 'step'. Default is 'step'.
   :type block_or_step: {"block", "step"}, optional
   :param istress: Index of the stress to plot the response for. Default is None.
   :type istress: int, optional
   :param ax: Dictionary containing axes with 'con' and 'rf' as keys, or a single axes
              instance for the contribution plot.
   :type ax: dict or matplotlib.axes.Axes, optional
   :param kwargs: Passed to the stress plot.
   :type kwargs: dict, optional

   :returns: **axes** -- Dictionary containing the axes for the contribution, and optionally the
             stress and response.
   :rtype: dict















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