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Make some beautiful corner plots of samples.

Project description

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 corner.__contributors__ for the most up to date list). Licensed under the 2-clause BSD license (see LICENSE).


Just run

pip install corner

to get the most recent stable version.


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

import numpy as np
import corner

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

With some other tweaks (see 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 is free software made available under the BSD License. For details see the LICENSE file.

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