cornerhex Documentation

cornerhex is a package to visualize multidimensional data in matrix corner plots, for example the results of Markov Chain Monte Carlo (MCMC) methods.

Instead of 2d histograms or scatter plots it uses matplotlib.pyplot.hexbin. cornerhex can be easily costumized with different color schemes.

Installation

To install cornerhex simply type

pip install cornerhex

Please have a look at the following examples to learn how to use cornerhex.

Contents:

• 1. Quickstart
  • Creating random data
  • Creating cornerhex plot
• 2. Customizations
  • Adding feature labels
  • Modifying number of bins
  • Changing axis limits
  • Highlighting specific values
  • Adding \(\sigma\) contour levels
  • Displaying scatter plot outside of \(\sigma\) contours
  • Displaying quantiles
  • Displaying Pearson correlation coefficient
  • Changing colormap
  • Changing line and textcolor
  • Saving plots
• Appendix A: Contributing/Bugs/Features
  • Contributing
  • Bug Reports
  • Feature Requests
• Module Reference
  • cornerhex Package

cornerhex is free to use. Please acknowledge the cornerhex repository if using it for publications.

Indices and tables

• Index

• Module Index

• Search Page