Forest Plot#
API documentation: plot_forest()

Python source code: [download source: matplotlib/mpl_plot_forest.py]
import matplotlib.pyplot as plt
import arviz as az
az.style.use("arviz-darkgrid")
centered_data = az.load_arviz_data("centered_eight")
non_centered_data = az.load_arviz_data("non_centered_eight")
axes = az.plot_forest(
[centered_data, non_centered_data], model_names=["Centered", "Non Centered"], var_names=["mu"]
)
axes[0].set_title("Estimated theta for eight schools model")
plt.show()
Python source code: [download source: bokeh/bokeh_plot_forest.py]
import arviz as az
centered_data = az.load_arviz_data("centered_eight")
non_centered_data = az.load_arviz_data("non_centered_eight")
ax = az.plot_forest(
[centered_data, non_centered_data],
model_names=["Centered", "Non Centered"],
var_names=["mu"],
backend="bokeh",
)