KDE quantiles

See also

API Documentation: plot_kde()

Matplotlib

import matplotlib.pyplot as plt
import numpy as np

import arviz as az

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

dist = np.random.beta(np.random.uniform(0.5, 10), 5, size=1000)
az.plot_kde(dist, quantiles=[0.25, 0.5, 0.75])

plt.show()

Download Python Source Code: matplotlib/mpl_plot_kde_quantiles.py

Bokeh

import numpy as np

import arviz as az

dist = np.random.beta(np.random.uniform(0.5, 10), 5, size=1000)
ax = az.plot_kde(dist, quantiles=[0.25, 0.5, 0.75], backend="bokeh")

Download Python Source Code: bokeh/bokeh_plot_kde_quantiles.py