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Beautiful and flexible visualizations of high-dimensional data. 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. 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. The default styles of this package roughly reproduce the output of the Python library corner.py for a single series and chainconsumer.py for multiple series. If these are not to your tastes, the package aims to be highly configurable.
Features
- Beautiful and flexible vizualizations of high dimensional data
- Documentation available
- Pair plots are an excellent way to vizualize the results of MCMC simulations
- This package produces pair plots, otherwise known as corner plots or scatter plot matrices
- The default styles of this package roughly reproduce the output of the Python library corner.py for a single series, and chainconsumer.py for multiple series.
- The current version of PairPlots.jl requires the Makie plotting library
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Data VisualizationLicense
MIT LicenseFollow PairPlots.jl
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