BaseExperiment.plot#

BaseExperiment.plot(*args, show=True, legend_kwargs=None, **kwargs)[source]#

Plot the model.

Internally, this function dispatches to either _bayesian_plot or _ols_plot depending on the model type.

Parameters:

  • show (bool) – Whether to automatically display the plot. Defaults to True. Set to False if you want to modify the figure before displaying it.

  • legend_kwargs (dict[str, Any] | None) –

    Keyword arguments to adjust legend placement and styling. The existing legend is modified in place so that custom handles (e.g. (Line2D, PolyCollection) tuples) are fully preserved.

    Supported keys: loc, bbox_to_anchor, fontsize, frameon, title. bbox_transform is accepted alongside bbox_to_anchor.

  • args (Any)

  • kwargs (Any)

Return type:

tuple

Examples

Move the legend outside the plot area to avoid overlap:

>>> fig, ax = result.plot(
...     show=False,
...     legend_kwargs={"loc": "upper left", "bbox_to_anchor": (1.04, 1)},
... )