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| author | shivesh <s.p.mandalia@qmul.ac.uk> | 2018-04-09 18:39:55 -0500 |
|---|---|---|
| committer | shivesh <s.p.mandalia@qmul.ac.uk> | 2018-04-09 18:39:55 -0500 |
| commit | e1fa7270eeb9219865446cb8ceb4a5762f6aab9b (patch) | |
| tree | 523026ce0aafa30e9b4df2086b955b26ca28ebd5 /utils | |
| parent | 0d4713f70bdbf19825e1337cd2e75268609c9c75 (diff) | |
| download | GolemFlavor-e1fa7270eeb9219865446cb8ceb4a5762f6aab9b.tar.gz GolemFlavor-e1fa7270eeb9219865446cb8ceb4a5762f6aab9b.zip | |
add CR values on the plot
Diffstat (limited to 'utils')
| -rw-r--r-- | utils/plot.py | 28 |
1 files changed, 28 insertions, 0 deletions
diff --git a/utils/plot.py b/utils/plot.py index af713eb..d395342 100644 --- a/utils/plot.py +++ b/utils/plot.py @@ -28,11 +28,20 @@ rc('text', usetex=False) rc('font', **{'family':'serif', 'serif':['Computer Modern'], 'size':18}) +def centers(x): + return (x[:-1]+x[1:])*0.5 + + def calc_nbins(x): n = (np.max(x) - np.min(x)) / (2 * len(x)**(-1./3) * (np.percentile(x, 75) - np.percentile(x, 25))) return np.floor(n) +def calc_bins(x): + nbins = calc_nbins(x) + return np.linspace(np.min(x), np.max(x)+2, num=nbins+1) + + def most_likely(arr): """Return the densest region given a 1D array of data.""" binning = calc_bins(arr) @@ -169,6 +178,25 @@ def chainer_plot(infile, outfile, outformat, args, mcmc_paramset): mpl.pyplot.figtext(0.4, 0.7, fig_text, fontsize=4) else: mpl.pyplot.figtext(0.5, 0.7, fig_text, fontsize=15) + + for i_ax_1, ax_1 in enumerate(g.subplots): + for i_ax_2, ax_2 in enumerate(ax_1): + if i_ax_1 == i_ax_2: + itv = interval(Tchain[:,i_ax_1], percentile=90.) + for l in itv: + ax_2.axvline(l, color='gray', ls='--') + ax_2.set_title(r'${0:.2f}_{{-{1:.2f}}}^{{+{2:.2f}}}$'.format( + itv[1], itv[0], itv[2] + ), fontsize=10) + + # if not args.fix_mixing: + # sc_index = mcmc_paramset.from_tag(ParamTag.SCALE, index=True) + # itv = interval(Tchain[:,sc_index], percentile=90.) + # mpl.pyplot.figtext( + # 0.5, 0.3, 'Scale 90% Interval = [1E{0}, 1E{1}], Center = ' + # '1E{2}'.format(itv[0], itv[2], itv[1]) + # ) + for of in outformat: g.export(outfile+'_angles.'+of) |
