srcs = [DB.os_dict, os_cat_names, DB.sw_dict, sw_categories,
resource_categories, time_categories,
DB.datamod_dict, DB.position_dict, DB.employer_dict,
- DB.vm_dict]
+ DB.vm_dict, DB.ratings_dict]
for src in srcs:
if id in src:
return src[id]
pl.legend(loc='lower right')
pl.savefig('%s/ratings_%s.png' % (destdir, env), format='png', dpi=80)
-def mkpic_rating_by_os_hor(db, env, items, destdir, title):
- envs = ['pers_time', 'man_time', 'virt_time']
- env_names = ['Personal', 'Managed', 'Virtual']
- env_stats = {}
- for env in envs:
- counts = dict(zip(time_order, [0] * len(time_order)))
- counts.update(db.get_counts(env))
- total_count = np.sum(counts.values())
- for c in counts:
- counts[c] = float(counts[c]) / total_count
- env_stats[env] = counts
- # make stacked barplot
- pl.figure(figsize=(7.5, 4))
- x = np.arange(len(envs))
- bottoms = np.zeros(len(envs))
- for i, t in enumerate(time_order):
- stat = [env_stats[e][t] for e in envs]
+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
+ #pl.figure(figsize=(6.4, 4.8))
+ nos = len(os_order)
+ rst = open('figures/ratings_%s.rst' % env, 'w')
+ rst.write("""
+
+%s
+%s
+
+%s
+
+.. raw:: html
+
+ <table>
+ """ % (title, '=' * len(title), intro_sentence))
+ for k, it in enumerate(items):
+ 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):
+ 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)
+ 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)],
+ [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.barh(x, stat, left=bottoms, color=time_colors[i],
- label=db.get_nice_name(t), height=.6, alpha=0.25 + i/4.0)
- bottoms += stat
- pl.legend(loc='center left')
- pl.yticks(x + 0.2, env_names)
- pl.ylim(-0.4, len(envs))
- pl.title("Research activity time by environment")
- pl.xlabel("Fraction of submissions")
- pl.subplots_adjust(right=0.97)
- pl.savefig('%s/time_by_env.png' % destdir, format='png', dpi=80)
+ #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))
+ pl.axis('off')
+ pl.subplots_adjust(left=0.01, right=0.99, 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)
+ pl.close()
+ 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>"""
+ % (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>
+
+ """)
+ rst.close()
+ return
def main(srcdir, destdir):
for pic in [mkpic_os_per_env, mkpic_software, mkpic_time_per_env]:
pic(db, destdir)
- 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)")
+ mkpic_rating_by_os_hor_joined(db, 'pers_os', ['pers_r%i' % i for i in range(1, 9)], destdir,
+ "Personal environment", "I prefer this particular scientific software environment because ...")
+ mkpic_rating_by_os_hor_joined(db, 'man_os', ['man_r%i' % i for i in range(1, 5)], destdir,
+ "Managed environment")
+ 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))
projects / neurodebian.git / commitdiff