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Added support for namespace search in ncm_mset_func_list. Added plot_…
…corner helper script.
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,100 @@ | ||
| #!/usr/bin/env python | ||
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| try: | ||
| import gi | ||
| gi.require_version('NumCosmo', '1.0') | ||
| gi.require_version('NumCosmoMath', '1.0') | ||
| except: | ||
| pass | ||
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| import math | ||
| import argparse | ||
| import numpy as np | ||
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| from gi.repository import NumCosmo as Nc | ||
| from gi.repository import NumCosmoMath as Ncm | ||
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| from scipy.stats import chi2 | ||
| from chainconsumer import ChainConsumer | ||
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| parser = argparse.ArgumentParser(description='Process mset catalogs') | ||
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| parser.add_argument('-C', '--catalog', metavar='file.fits', | ||
| help='catalog fits file', | ||
| action='append', required = True) | ||
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| parser.add_argument('-B', '--burnin', metavar='N', | ||
| help='catalog burnin', type=int, | ||
| action='append') | ||
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| parser.add_argument('--kde', | ||
| help='whether to use kde interpolation', | ||
| action='store_true') | ||
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| parser.add_argument('--col', type=int, nargs="*", | ||
| help='Columns to include') | ||
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| parser.add_argument('--truth', type=float, nargs="*", | ||
| help='Columns to include') | ||
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| parser.add_argument('--sigma', type=int, nargs="+", default = [1, 2], | ||
| help='Sigmas to compute the confidence regions') | ||
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| parser.add_argument('--out', default = "corner.pdf", | ||
| help='Output filename') | ||
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| parser.add_argument('--mode', choices=['corner', 'walks'], default='corner') | ||
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| args = parser.parse_args() | ||
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| Ncm.cfg_init () | ||
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| c = ChainConsumer() | ||
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| for cat in args.catalog: | ||
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| bin = 0 | ||
| if args.burnin and (len (args.burnin) > 0): | ||
| bin = args.burnin.pop (0) | ||
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| print (f"# Adding {cat} with burnin {bin}") | ||
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| mcat = Ncm.MSetCatalog.new_from_file_ro (cat, bin) | ||
| nwalkers = mcat.nchains () | ||
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| m2lnL = mcat.get_m2lnp_var () | ||
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| rows = np.array ([mcat.peek_row (i).dup_array () for i in range (mcat.len ())]) | ||
| params = ["$" + mcat.col_symb (i) + "$" for i in range (mcat.ncols ())] | ||
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| posterior = -0.5 * rows[:,m2lnL] | ||
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| rows = np.delete (rows, m2lnL, 1) | ||
| params = np.delete (params, m2lnL, 0) | ||
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| if args.col: | ||
| assert max (args.col) < mcat.ncols () | ||
| indices = np.array (args.col) | ||
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| rows = rows[:,indices] | ||
| params = params[indices] | ||
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| #c.add_chain(rows, posterior = posterior, parameters=list(params), plot_point = True, name = cat.replace ("_", "-")) | ||
| c.add_chain(rows, posterior = posterior, parameters=list(params), name = cat.replace ("_", "-")) | ||
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| c.configure (kde = args.kde, label_font_size=8, sigma2d=False, sigmas = args.sigma, spacing = 0.0, tick_font_size=8) | ||
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| plot_args = {} | ||
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| if args.truth is not None: | ||
| plot_args['truth'] = args.truth | ||
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| if args.mode == "corner": | ||
| fig = c.plotter.plot(**plot_args) | ||
| elif args.mode == "walks": | ||
| fig = c.plotter.plot_walks(**plot_args, convolve=100) | ||
| else: | ||
| assert False | ||
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| fig.savefig(args.out, bbox_inches="tight") | ||
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