GetDist

GetDist:	MCMC sample analysis, plotting and GUI
Version:	0.2.0
Author:	Antony Lewis
Homepage:	http://cosmologist.info/

Description:

GetDist is a package for analysing Monte Carlo samples, including correlated samples from Markov Chain Monte Carlo (MCMC).

• Point and click GUI - select chain files, view plots, marginalized constraints, latex tables and more
• Plotting library - make custom publication-ready 1D, 2D, 3D-scatter, triangle and other plots
• Named parameters - simple handling of many parameters using parameter names
• Optimized Kernel Density Estimation - automated optimal bandwidth choice for 1D and 2D densities (Botev et al. Improved Sheather-Jones method)
• Convergence diagonistics - including correlation length and diagonalized Gelman-Rubin statistics

Getting Started:

Install getdist from download using:

$ sudo python setup.py install

You can test if things are working using the unit test by running

$ python setup.py test

Dependencies:

• Python 2.7+ or 3.4+
• PySide (optional, only needed for GUI)
• matplotlib
• scipy
• Working latex installation (for some plotting/table functions)

Using with CosmoMC

This GetDist package is general, but is mainly developed for analysing cosmology data using chains from the CosmoMC program. No need to install this package separately if you have a full CosmoMC installation. Detailed help is available for plotting Planck chains and using CosmoMC parameter grids

http://cosmologist.info/cosmomc/readme_python.html