KDE Pair Plot with HDI Contours#

See also

API Documentation: plot_pair()

../_images/mpl_plot_pair_kde_hdi.png 
import matplotlib.pyplot as plt

import arviz as az

az.style.use("arviz-doc")

centered = az.load_arviz_data("centered_eight")

coords = {"school": ["Choate", "Deerfield"]}
az.plot_pair(
    centered,
    var_names=["theta", "mu", "tau"],
    kind="kde",
    coords=coords,
    textsize=22,
    kde_kwargs={
        "hdi_probs": [0.3, 0.6, 0.9],  # Plot 30%, 60% and 90% HDI contours
        "contourf_kwargs": {"cmap": "Blues"},
    },
)
plt.show()

Download Python Source Code: matplotlib/mpl_plot_pair_kde_hdi.py

import arviz as az

centered = az.load_arviz_data("centered_eight")

coords = {"school": ["Choate", "Deerfield"]}
az.plot_pair(
    centered,
    var_names=["theta", "mu", "tau"],
    kind="kde",
    coords=coords,
    divergences=True,
    textsize=22,
    kde_kwargs={
        "hdi_probs": [0.3, 0.6, 0.9],  # Plot 30%, 60% and 90% HDI contours
        "contourf_kwargs": {"cmap": "Blues"},
    },
    backend="bokeh",
)

Download Python Source Code: bokeh/bokeh_plot_pair_kde_hdi.py