InterruptedTimeSeries.plot#

InterruptedTimeSeries.plot(round_to=None, **kwargs)[source]#

Plot the interrupted time series analysis results.

Creates a unified plot that works for both Bayesian (PyMC) and OLS (sklearn) models, automatically detecting the model type and adjusting the visualization accordingly.

Parameters:

round_to (int, optional) – Number of decimal places to round displayed values. Defaults to 2. Use None to return raw numbers.
**kwargs – Additional keyword arguments passed to matplotlib plotting functions

Returns:

Matplotlib figure and list of axes objects

Return type:

tuple[plt.Figure, List[plt.Axes]]