Make some beautiful corner plots.

Corner plot /ˈkôrnər plät/ (noun):

An illustrative representation of different projections of samples in high dimensional spaces. It is awesome. I promise.

Built by Dan Foreman-Mackey and collaborators (see triangle.__contributors__ for the most up to date list). Licensed under the 2-clause BSD license (see LICENSE).

Just run

pip install triangle_plot

to get the most recent stable version.

The main entry point is the triangle.corner function. You'll just use it like this:

import numpy as np
import triangle

ndim, nsamples = 5, 10000
samples = np.random.randn(ndim * nsamples).reshape([nsamples, ndim])
figure = triangle.corner(samples)
figure.savefig("triangle.png")

With some other tweaks (see demo.py) you can get something that looks awesome like:

By default, data points are shown as grayscale points with contours. Contours are shown at 0.5, 1, 1.5, and 2 sigma.

If you make use of this code, please cite it.

Copyright 2013, 2014 Dan Foreman-Mackey

triangle.py is free software made available under the BSD License. For details see the LICENSE file.