Example gallery#

Mixed Plots#

Forest Plot with ESS using plot_forest

Forest Plot with ESS

./plot_forest_mixed.html

Traceplot using plot_trace

Traceplot

./plot_trace.html

Rank Bars Diagnostic with KDE using plot_trace

Rank Bars Diagnostic with KDE

./plot_trace_bars.html

Traceplot with Circular Variables using plot_trace

Traceplot with Circular Variables

./plot_trace_circ.html

Traceplot rank_vlines using plot_trace

Traceplot rank_vlines

./plot_trace_vlines.html

Distributions#

Density Plot using plot_density

Density Plot

./plot_density_single.html

Dist Plot using plot_dist

Dist Plot

./plot_dist.html

Dot Plot using plot_dot

Dot Plot

./plot_dot.html

ECDF Plot using plot_ecdf

ECDF Plot

./plot_ecdf.html

Forest Plot using plot_forest

Forest Plot

./plot_forest.html

Ridgeplot using plot_forest

Ridgeplot

./plot_forest_ridge.html

Joint Plot using plot_pair

Joint Plot

./plot_joint.html

KDE Plot using plot_kde

KDE Plot

./plot_kde.html

2D KDE using plot_kde

2D KDE

./plot_kde_2d.html

2D KDE with HDI Contours using plot_kde

2D KDE with HDI Contours

./plot_kde_2d_hdi.html

KDE quantiles using plot_kde

KDE quantiles

./plot_kde_quantiles.html

Hexbin PairPlot using plot_pair

Hexbin PairPlot

./plot_pair_hex.html

KDE Pair Plot using plot_pair

KDE Pair Plot

./plot_pair_kde.html

KDE Pair Plot with HDI Contours using plot_pair

KDE Pair Plot with HDI Contours

./plot_pair_kde_hdi.html

Point Estimate Pairplot using plot_pair

Point Estimate Pairplot

./plot_pair_point_estimate.html

Posterior Plot using plot_posterior

Posterior Plot

./plot_posterior.html

Posterior Plot (reducing school dimension) using plot_posterior

Posterior Plot (reducing school dimension)

./plot_posterior_combinedims.html

Violin plot using plot_violin

Violin plot

./plot_violin.html

Distribution Comparison#

Density Plot (Comparison) using plot_density

Density Plot (Comparison)

./plot_density.html

Forest Plot Comparison using plot_forest

Forest Plot Comparison

./plot_forest_comparison.html

Single-Sided Violin Plot using plot_violin

Single-Sided Violin Plot

./plot_violin_single_sided.html

Inference Diagnostics#

Autocorrelation Plot using plot_autocorr

Autocorrelation Plot

./plot_autocorr.html

Energy Plot using plot_energy

Energy Plot

./plot_energy.html

ESS Evolution Plot using plot_ess

ESS Evolution Plot

./plot_ess_evolution.html

ESS Local Plot using plot_ess

ESS Local Plot

./plot_ess_local.html

ESS Quantile Plot using plot_ess

ESS Quantile Plot

./plot_ess_quantile.html

Quantile Monte Carlo Standard Error Plot using plot_mcse

Quantile Monte Carlo Standard Error Plot

./plot_mcse.html

Quantile MCSE Errobar Plot using plot_mcse

Quantile MCSE Errobar Plot

./plot_mcse_errorbar.html

Pair Plot using plot_pair

Pair Plot

./plot_pair.html

Parallel Plot using plot_parallel

Parallel Plot

./plot_parallel.html

Rank plot using plot_rank

Rank plot

./plot_rank.html

Regression or Time Series#

Plot HDI using plot_hdi

Plot HDI

./plot_hdi.html

Regression Plot using plot_lm

Regression Plot

Model Comparison#

Bayes Factor Plot using plot_bf

Bayes Factor Plot

Compare Plot using plot_compare

Compare Plot

./plot_compare.html

ELPD Plot using plot_elpd

ELPD Plot

./plot_elpd.html

Pareto Shape Plot using plot_khat

Pareto Shape Plot

./plot_khat.html

Model Checking#

Bayesian u-value Plot using plot_bpv

Bayesian u-value Plot

./plot_bpv.html

Bayesian p-value with T statistic Plot using plot_bpv

Bayesian p-value with T statistic Plot

./plot_bpv_tstat.html

LOO-PIT ECDF Plot using plot_loo_pit

LOO-PIT ECDF Plot

./plot_loo_pit_ecdf.html

LOO-PIT Overlay Plot using plot_loo_pit

LOO-PIT Overlay Plot

./plot_loo_pit_overlay.html

Posterior Predictive Check Plot using plot_ppc

Posterior Predictive Check Plot

./plot_ppc.html

Posterior Predictive Check Cumulative Plot using plot_ppc

Posterior Predictive Check Cumulative Plot

./plot_ppc_cumulative.html

Separation Plot using plot_separation

Separation Plot

./plot_separation.html

Styles#

Use Matplotlib Styles with arviz.style.use().

Use Matplotlib Styles with `arviz.style.use()`.

Matplotlib styles