PairPlots

Beautiful and flexible visualizations of high dimensional data

Getting Started

Full Guide

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Tables

Compatible with DataFrames or any Julia table

MCMC

Turing.jl and MCMCChains.jl compatible

Flexible

Highly configurable and themeable using the Makie plotting package.

This package produces pair plots, otherwise known as corner plots or scatter plot matrices: grids of 1D and 2D histograms that allow you to visualize high dimensional data. Both Julia and Python are supported (PairPlots.jl and pairplots.py).

Pair plots are an excellent way to visualize the results of MCMC simulations, but are also a useful way to visualize correlations in general data tables.

PairPlots is inspired by the excellent corner.py and chainconsumer.py packages.

The current version of PairPlots uses the Makie plotting library. If instead you prefer to use Plots.jl, you can install the legacy version 0.6 of PairPlots (see archived documentation here)