This Python module uses matplotlib to visualize multidimensional
samples using a scatterplot matrix. In these visualizations, each
one- and two-dimensional projection of the sample is plotted to
reveal covariances. corner was originally conceived to display the
results of Markov Chain Monte Carlo simulations and the defaults are
chosen with this application in mind but it can be used for
displaying many qualitatively different samples.
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Development of corner happens on GitHub so you can raise any issues
you have there. corner has been used extensively in the astronomical
literature and it has occasionally been cited as corner.py or using
its previous name triangle.py.
Installed Size: 69.6 kB
Architectures: all