emceeChain

class eazy.utils.emceeChain(chain=None, file=None, param_names=[], burn_fraction=0.5, sampler=None)

Bases: object

Methods Summary

contour(p1, p2[, labels, levels, colors, ...])	Plot sigma contours
draw_random([N])	Draw random sets of parameters from the chain
get_stats(pid[, burn, raw])	Get percentile statistics for a parameter in the chain
load_chain([file])	Read the chain from the pickle file
load_fits([file])	Load emcee chain fits file created by save_fits.
parameter_correlations([size, shrink, show, ...])
process_chain([param_names, burn_fraction])	Define parameter names and get parameter statistics
save_chain([file, verbose])	Save the chain to a Pkl file
save_fits([file, verbose])	Make a FITS file of an EMCEE chain
show_chain([param, chain, alpha, color, ...])	Make a plot of the chain for a given parameter.

Methods Documentation

contour(p1, p2, labels=None, levels=[0.683, 0.955], colors=None, limits=None, bins=20, ax=None, fill=False, **kwargs)

Plot sigma contours

draw_random(N=10)

Draw random sets of parameters from the chain

get_stats(pid, burn=0, raw=False)

Get percentile statistics for a parameter in the chain

load_chain(file='emcee_chain.pkl')

Read the chain from the pickle file

load_fits(file='emcee_chain.fits')

Load emcee chain fits file created by save_fits.

parameter_correlations(size=8, shrink=5, show=None, file=None)

process_chain(param_names=[], burn_fraction=0.5)

Define parameter names and get parameter statistics

save_chain(file='emcee_chain.pkl', verbose=True)

Save the chain to a Pkl file

save_fits(file='emcee_chain.fits', verbose=True)

Make a FITS file of an EMCEE chain

show_chain(param='a1', chain=None, alpha=0.15, color='blue', scale=1, diff=0, ax=None, add_labels=True, hist=False, autoscale=True, *args, **kwargs)

Make a plot of the chain for a given parameter.

For plotting, multiply the parameter by scale and subtract diff.