Make some beautiful corner plots of samples.
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).
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: