Posterior forest for two models

Forest plot summaries for 1D marginal distributions.

using ArviZPythonPlots, ArviZExampleData

use_style("arviz-variat")

c = load_example_data("centered_eight")
n = load_example_data("non_centered_eight")
pc = plot_forest(Dict("Centered" => c, "Non Centered" => n))

See plot_forest. Other examples comparing marginal distributions: see the "Posterior KDEs for two models" example in this gallery section.