Skip to main content

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:

https://raw.github.com/dfm/triangle.py/master/triangle.png

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

Attribution

https://zenodo.org/badge/doi/10.5281/zenodo.11020.png

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

triangle_plot-0.2.0.tar.gz (8.8 kB view details)

Uploaded Source

File details

Details for the file triangle_plot-0.2.0.tar.gz.

File metadata

File hashes

Hashes for triangle_plot-0.2.0.tar.gz
Algorithm Hash digest
SHA256 2e14686c6c911e7dac0284258665beb71a82bf0c31285131b9c2e9177f3a2ccc
MD5 52f6d22cbd1c933356bca5d040c5a3a2
BLAKE2b-256 90393151e82f32d1d1585f3c17034e0148d5ec8f7ad6b66a10c2d6cd0ff052c1

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page