<table>
""" % (title, '=' * len(title), intro_sentence))
for k, it in enumerate(items):
- pl.figure(figsize=(3.2, 0.5))
+ if k == 0:
+ pl.figure(figsize=(3.2, 0.75))
+ else:
+ pl.figure(figsize=(3.2, 0.5))
it_nice = db.get_nice_name(it)#.lstrip('.').lstrip(' ')
it_nice = it_nice[0].upper() + it_nice[1:]
for i, os in enumerate(os_order):
# assume that we have 4 grades from 0 to 3
if len(ratings):
assert(max(ratings) < max_rating)
- total = len(ratings)
- bottom = 0
- for r in range(max_rating)[::-1]: # so we go from agree to don't
- stat = np.sum(ratings == r) * per_os_width / float(total)
- #print r, it, os, stat, total
- #if it == "pers_r8" and os == "linux" and r == 3:
- # import pydb; pydb.debugger()
- 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),
- label=None,
- edgecolor=os_colors[i])
- bottom += stat
# Complement with errorbar
if len(ratings):
meanstat = np.mean(ratings)
- errstat = len(ratings) > 1 and np.std(ratings) or 0
- pl.errorbar([per_os_width * (max_rating-1 - float(meanstat))/(max_rating-1)],
+ meanstat_point = per_os_width * (float(meanstat))/(max_rating-1)
+ # standard error of estimate
+ errstat = len(ratings) > 1 and np.std(ratings)/np.sqrt(len(ratings)-1) or 0
+
+ if True:
+ # Beautiful piece not yet appreciated by the audience
+ total = len(ratings)
+ bottom = 0
+ for r in range(max_rating):
+ 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:
+ # import pydb; pydb.debugger()
+ 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),
+ label=None,
+ edgecolor=os_colors[i])
+ bottom += stat
+ else:
+ pl.barh(1.0/nos * (nos - 1 - i), meanstat_point, left=0,
+ 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')
- #plot_bars(ratings, offset=((i+1)*0.2)-0.1, color=os_colors[i],
- # title=title, ylabel="Mean rating", label=db.get_nice_name(os))
- #import pydb; pydb.debugger()
- #pl.xlim((0, per_os_width * len(os_order)))
- #pl.ylim((0, 1)) # len(items)))
- #pl.yticks((0, 3), ['Disagree', 'Agree'], rotation=90)
- #pl.xticks(np.arange(len(items))+0.5, [i[-2:] for i in items],
- # horizontalalignment='center')
- #pl.legend(loc='lower right')
pl.xlim((0, per_os_width))
- pl.ylim((0, 1))
+ if k == 0:
+ pl.text(0, 1.1, "Disagree", horizontalalignment='left')
+ pl.text(per_os_width, 1.1, "Agree", horizontalalignment='right')
+ pl.ylim((0, 1.5))
+ else:
+ pl.ylim((0, 1))
pl.axis('off')
- pl.subplots_adjust(left=0.01, right=0.99, bottom=0.0, top=1,
+ 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)
pl.savefig(fname, format='png', dpi=80)
oddrow_s = k % 2 == 0 and ' class="oddrow"' or ''
rst.write("""
<tr%(oddrow_s)s>
- <td class="task">%(it_nice)s</td>
- <td class="response"> <div class="figure"><img border=0 alt="%(fname)s" src="%(fname)s" /> </div> </td> </tr>"""
+ <td>%(it_nice)s</td>
+ <td><img border="0" alt="%(fname)s" src="%(fname)s" /></td> </tr>"""
% (locals()))
- #pl.yticks(range(len(items)), [db.get_nice_name(it) for it in items])
- #pl.xlim((0, per_os_width))# * len(os_order)))
- #pl.ylim((0, len(items)))
- #pl.axis('off')
- #pl.subplots_adjust(left=0, right=1, bottom=0, top=1,
- # wspace=0.05, hspace=0.05)
- #pl.savefig('%s/ratings_%s.png' % (destdir, env), format='png', dpi=80)
- #pl.close()
rst.write("""
</table>
mkpic_rating_by_os_hor_joined(db, 'virt_host_os', ['man_r%i' % i for i in range(1, 4)], destdir,
"Virtual environment (by host OS)")
- ## mkpic_rating_by_os(db, 'pers_os', ['pers_r%i' % i for i in range(1, 9)], destdir,
- ## "Ratings: Personal environment")
- ## mkpic_rating_by_os(db, 'man_os', ['man_r%i' % i for i in range(1, 5)], destdir,
- ## "Ratings: Managed environment")
- ## mkpic_rating_by_os(db, 'virt_host_os', ['virt_r%i' % i for i in range(1, 4)], destdir,
- ## "Ratings: Virtual environment (by host OS)")
# submission stats: this is RST
statsfile = open('%s/stats.txt' % destdir, 'w')
statsfile.write('::\n\n Number of submissions: %i\n' % len(db))