Python equivalent of an R plotting function for BSTS model coefficients missing

In R version of the causalimpact library, the function plot(impact$model$bsts.model, "coefficients") plots the posterior probability of each predictor being included in the model.

I am looking for the equivalent of this in the Python library. Is it available?

Start by checking the Python library for an existing plotting function corresponding to R's plot(impact$model$bsts.model, "coefficients"). Compare its available model-coefficient visualization with the R behavior; done means the Python equivalent is available or its missing scope is clearly defined.

Written by the indexing model from the issue text.