From: Yaroslav Halchenko Date: Thu, 26 May 2011 02:03:42 +0000 (-0400) Subject: BF: scale stderr for per-os hor plots properly + ENH: generalize mkpic_rating_by_os_h... X-Git-Url: https://git.donarmstrong.com/?a=commitdiff_plain;h=2110371ad0998bc5b60c7c5833f9fed8a9e38d43;p=neurodebian.git BF: scale stderr for per-os hor plots properly + ENH: generalize mkpic_rating_by_os_hor_joined a bit --- diff --git a/survey/makestats b/survey/makestats index 15eb1ab..0959c3d 100755 --- a/survey/makestats +++ b/survey/makestats @@ -330,13 +330,19 @@ def mkpic_rating_by_os(db, env, items, destdir, title): pl.legend(loc='lower right') pl.savefig('%s/ratings_%s.png' % (destdir, env), format='png', dpi=80) -def mkpic_rating_by_os_hor_joined(db, env, items, destdir, title, - intro_sentence="I agree with the statements"): - per_os_width = 10 - max_rating = 4 +def mkpic_rating_by_os_hor_joined(db, env, items, destdir='.', title=None, + intro_sentence="I agree with the statements", + suffix='', max_rating=4): + per_os_width = 1 #pl.figure(figsize=(6.4, 4.8)) + if max_rating is None: + assert(len(items) == 1) + # We need to query for it + field = items[0] + max_rating = np.max([db[k][field] for k in db if field in db[k]]) + 1 + print "max ", max_rating nos = len(os_order) - rst = open('figures/ratings_%s.rst' % env, 'w') + rst = open('figures/ratings_%s%s.rst' % (env, suffix), 'w') rst.write(""" %s @@ -358,21 +364,22 @@ def mkpic_rating_by_os_hor_joined(db, env, items, destdir, title, for i, os in enumerate(os_order): ratings = np.array(db.select_match(env, os_family[os]).get_not_none('%s' % (it,))[0]) - # assume that we have 4 grades from 0 to 3 - if len(ratings): - assert(max(ratings) < max_rating) + #if len(ratings): + # assert(max(ratings) < max_rating) # Complement with errorbar if len(ratings): + scaling = float(per_os_width)/(max_rating-1) meanstat = np.mean(ratings) - meanstat_point = per_os_width * (float(meanstat))/(max_rating-1) + meanstat_point = scaling * meanstat # standard error of estimate - errstat = len(ratings) > 1 and np.std(ratings)/np.sqrt(len(ratings)-1) or 0 - + errstat_point = len(ratings) > 1 and scaling*np.std(ratings)/np.sqrt(len(ratings)-1) or 0 + #print ratings, meanstat, meanstat_point, errstat_point if True: # Beautiful piece not yet appreciated by the audience total = len(ratings) bottom = 0 - for r in range(max_rating): + max_rating_max = max(max_rating, max(ratings)+1) + for r in sorted(set(ratings)):#range(max_rating_max): stat = np.sum(ratings == r) * meanstat_point / float(total) #print r, it, os, stat, total #if it == "pers_r8" and os == "linux" and r == 3: @@ -380,7 +387,7 @@ def mkpic_rating_by_os_hor_joined(db, env, items, destdir, title, kwargs = dict(label=None) if stat: pl.barh(1.0/nos * (nos - 1 - i), stat, left=bottom, color=os_colors[i], - height=.25, alpha=0.25 + r/float(max_rating), + height=.25, alpha=1./max_rating_max + r/float(max_rating_max), label=None, edgecolor=os_colors[i]) bottom += stat @@ -389,9 +396,9 @@ def mkpic_rating_by_os_hor_joined(db, env, items, destdir, title, color=os_colors[i], height=.25, alpha=1.0, label=None) pl.errorbar([meanstat_point], [1.0/nos * (nos - 0.5 - i)], - xerr=[errstat], fmt='o', color=os_colors[i], ecolor='k') + xerr=[errstat_point], fmt='o', color=os_colors[i], ecolor='k') pl.xlim((0, per_os_width)) - if k == 0: + if k == 0 and max_rating == 4: # ad-hoc: only for those disagree/agree pl.text(0, 1.1, "Disagree", horizontalalignment='left') pl.text(per_os_width, 1.1, "Agree", horizontalalignment='right') pl.ylim((0, 1.5)) @@ -400,7 +407,7 @@ def mkpic_rating_by_os_hor_joined(db, env, items, destdir, title, pl.axis('off') pl.subplots_adjust(left=0.00, right=1., bottom=0.0, top=1, wspace=0.05, hspace=0.05) - fname = '%s/ratings_%s_%s.png' % (destdir, env, it) + fname = '%s/ratings_%s_%s%s.png' % (destdir, env, it, suffix) pl.savefig(fname, format='png', dpi=80) pl.close() oddrow_s = k % 2 == 0 and ' class="oddrow"' or '' @@ -420,6 +427,17 @@ def mkpic_rating_by_os_hor_joined(db, env, items, destdir, title, def main(srcdir, destdir): db = DB(srcdir) + if False: + ## Plot maintenance time per each group + # assess what would be our range + pmts, _ = db.get_not_none('pers_maint_time') + max_rating = int(np.mean(pmts) + np.std(pmts)) + for pos in db.get_unique('bg_position'): + print pos + mkpic_rating_by_os_hor_joined(db.select_match('bg_position', pos), + 'pers_os', ['pers_maint_time'], destdir, + "Personal environment", "", suffix='_maint_time_%s' % pos, + max_rating=max_rating) ## db2 = db # custom selection for people dealing more with hardware @@ -481,3 +499,4 @@ def main(srcdir, destdir): if __name__ == '__main__': main(sys.argv[1], sys.argv[2]) + #main('dataout', 'figures')