KDE Pair Plot with HDI Contours#
API documentation: plot_pair()
Python source code: [download source: matplotlib/mpl_plot_pair_kde_hdi.py]
import matplotlib.pyplot as plt
import arviz as az
az.style.use("arviz-darkgrid")
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"},
},
)
plt.show()
Python source code: [download source: bokeh/bokeh_plot_pair_kde_hdi.py]
import arviz as az
az.style.use("arviz-darkgrid")
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",
)