InversePropensityWeighting.plot#

InversePropensityWeighting.plot(*, show=True, legend_kwargs=None)[source]#

Plot the results.

Notes

Inverse propensity weighting does not expose a unified plot() view; instead, use the dedicated diagnostics plot_ate() (treatment-effect distribution) and plot_balance_ecdf() (covariate-balance ECDF). This stub exists so every experiment subclass offers an explicit, kwarg-only plot() signature (issue #886).

Parameters:

  • show (bool) – Reserved; ignored. Defaults to True.

  • legend_kwargs (dict[str, Any] | None) – Reserved; ignored.

Raises:

NotImplementedError – Always; call plot_ate() or plot_balance_ecdf() instead.

Return type:

None