pastas.plotting.modelplots.Plotting.stacked_results#
- Plotting.stacked_results(tmin=None, tmax=None, figsize=(10, 8), stackcolors=None, stacklegend=False, stacklegend_kws=None, **kwargs)[source]#
Create a results plot, similar to ml.plots.results(), in which the individual contributions of stresses (in stressmodels with multiple stresses) are stacked.
- Parameters
tmin (str or pandas.Timestamp, optional) –
tmax (str or pandas.Timestamp, optional) –
figsize (tuple, optional) –
stackcolors (dict or list, optional) – Either dictionary with stress names as keys and colors as values, or a list of colors. By default None which applies colors according to the order of stresses in the StressModel. Passing a dictionary can be useful to apply the same color to each stress across multiple figures.
stacklegend (bool, optional) – Add legend to the stacked plot.
stacklegend_kws (dict, optional) – dict with keyword arguments for stackplot legend
- Returns
axes
- Return type
list of axes objects