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 triangle.__contributors__ for the most up to date list). Licensed under the 2-clause BSD license (see LICENSE).
Installation
Just run
pip install triangle_plot
to get the most recent stable version.
Usage
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.
Attribution
If you make use of this code, please cite it.
License
Copyright 2013, 2014 Dan Foreman-Mackey
triangle.py is free software made available under the BSD License. For details see the LICENSE file.
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