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[ascl:1702.002] corner: Corner plots

corner 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. An earlier version of corner was known as triangle.py.

Code site:
https://github.com/dfm/corner.py
Appears in:
http://adsabs.harvard.edu/abs/2017AJ....153...93K http://joss.theoj.org/papers/10.21105/joss.00024
Bibcode:
2017ascl.soft02002F
Preferred citation method:

http://dx.doi.org/10.21105/joss.00024


ascl:1702.002
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