pastas.plotting.modelcompare.CompareModels.plot_contribution
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.. py:method:: pastas.plotting.modelcompare.CompareModels.plot_contribution(smdict: dict[int, list[str]] | None = None, axn: str = 'con{i}', normalized: bool = False) -> None

   
   plot stressmodel contributions.

   :param smdict: Dictionary with integers (index) as keys and list of stressmodel names as
                  values that have to be in each subplot. For example, `{0: ['prec',
                  'evap'], 1: ['rech']}` where stressmodels 'prec' and 'evap' are plotted
                  in the first contribution window and 'rech' in the second. By default,
                  None, which creates a separate subplot for each stressmodel.
   :type smdict: dict, optional
   :param axn: name of labeled axes to plot the contributions to, by default "con{i}". If
               smdict is not None, keys of that dictionary are used to fill in axes
               label, e.g. key 0 indicates the contributions will be plotted on axes
               with label 'con0'. Otherwise, each contribution will be plotted on a
               separate subplot (i.e. 'con0', 'con1', ...).
   :type axn: str, optional
   :param normalized: normalize contributions with min/max depending on mean value, by default
                      False.
   :type normalized: bool, optional















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