d = {}
lfile = open(name)
for line in lfile:
+ if line.strip() == "":
+ continue
kv = line.split(':')
+ if kv[0] in d:
+ raise RuntimeError(
+ "Got a line %s with a duplicate key %s whenever value for it "
+ "is known already to be %r" % (line, kv[0], d[kv[0]]))
d[kv[0]] = kv[1].strip().strip('"')
return d
sw_dict = load_list2dict('swlist.txt')
position_dict = load_list2dict('position-dd-list.txt')
employer_dict = load_list2dict('employer-dd-list.txt')
+ ratings_dict = load_list2dict('ratingslist.txt')
+ vm_dict = load_list2dict('vmlist.txt')
def __init__(self, srcdir):
# eats the whole directory
def get_nice_name(self, id):
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.datamod_dict, DB.position_dict, DB.employer_dict,
+ DB.vm_dict, DB.ratings_dict]
for src in srcs:
if id in src:
return src[id]
stats[osf] = float(stats[osf]) / total_count
env_stats[env] = stats
# make stacked barplot
- pl.figure(figsize=(6.4, 4.8))
+ pl.figure(figsize=(7.5, 4))
x = np.arange(len(envs))
bottoms = np.zeros(len(envs))
for i, os in enumerate(os_order):
- stat = [env_stats[e][os] for e in envs]
- pl.bar(x, stat, bottom=bottoms, color=os_colors[i],
- label=db.get_nice_name(os), width=0.8)
+ stat = [env_stats[e][os] for e in envs[::-1]]
+ pl.barh(x, stat, left=bottoms, color=os_colors[i],
+ label=db.get_nice_name(os), height=0.8)
bottoms += stat
- pl.legend(loc='lower right')
- pl.xticks(x + 0.4, [db.get_nice_name(e) for e in env_names])
- pl.xlim(-0.25, len(envs))
+ pl.legend(loc='lower left')
+ pl.yticks(x + 0.4, env_names[::-1])
+ pl.ylim(-0.25, len(envs))
pl.title("Operating system preference by environment")
- pl.ylabel("Fraction of submissions")
+ pl.xlabel("Fraction of submissions")
+ pl.subplots_adjust(left=0.15, right=0.97)
pl.savefig('%s/ospref_by_env.png' % destdir, format='png', dpi=80)
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)
def mkpic_submissions_per_key(db, destdir, key, title, sortby='name',
multiple=False):
counts = db.get_counts(key)
- pl.figure(figsize=(6.4, 4.8))
+ pl.figure(figsize=(6.4, (len(counts)-2) * 0.4 + 2))
+ tmargin = .8/len(counts)
+ if tmargin > 0.3: tmargin = 0.3
+ pl.subplots_adjust(left=0.03, right=0.97, top=1-tmargin, bottom=tmargin)
pl.title(title)
if not len(counts):
pl.text(.5, .5, "[Insufficient data for this figure]",
else:
raise ValueError("Specify either name or count for sortby")
x = np.arange(len(stats))
- pl.bar(x + (1./8), [s[1] for s in stats], width=0.75, color = '#008200')
- pl.xticks(x + 0.5, ['' for s in stats])
- for i, s in enumerate(stats):
- pl.text(i+.5, 0.1, db.get_nice_name(s[0]), rotation=90,
- horizontalalignment='center',
- verticalalignment='bottom',
+ pl.barh(x + (1./8), [s[1] for s in stats[::-1]], height=0.75, color = '#008200')
+ pl.yticks(x + 0.5, ['' for s in stats])
+ text_offset = pl.gca().get_xlim()[1] / 30.
+ for i, s in enumerate(stats[::-1]):
+ pl.text(text_offset, i+.5, db.get_nice_name(s[0]),
+ horizontalalignment='left',
+ verticalalignment='center',
bbox=dict(facecolor='white', alpha=0.8, edgecolor='white'))
- pl.xlim(0, len(stats))
+ pl.ylim(0, len(stats))
yl = "Number of submissions"
if multiple:
yl += "\n(multiple choices per submission possible)"
- pl.ylabel(yl)
+ pl.xlabel(yl)
pl.savefig('%s/submissions_per_%s.png' % (destdir, key), format='png', dpi=80)
-def mkpic_resources(db, destdir):
- res = db.get_counts('software_resource')
- res = res.items()
- x = np.arange(len(res))
- pl.figure(figsize=(6.4, 4.8))
- pl.title('Software resources')
- pl.bar(x + (1./8), [s[1] for s in res], width=0.75, color = '#008200')
- pl.xticks(x + 0.5, ['' for s in res])
- for i, s in enumerate(res):
- pl.text(i+.5, 0.1, db.get_nice_name(s[0]), rotation=90,
- horizontalalignment='center',
- verticalalignment='bottom',
- bbox=dict(facecolor='white', alpha=0.8, edgecolor='white'))
- pl.ylabel('Number of submissions')
- pl.savefig('%s/software_resources.png' % destdir, format='png', dpi=80)
-
def mkpic_software(db, destdir):
for typ in sw_categories.keys():
mkpic_submissions_per_key(
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
+ #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.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):
db = DB(srcdir)
if not os.path.exists(destdir):
os.makedirs(destdir)
+ mkpic_submissions_per_key(
+ db, destdir, 'virt_prod', sortby='name',
+ title='Virtualization product popularity\n(multiple choices per submission possible)')
+
mkpic_submissions_per_key(
db, destdir, 'bg_datamod', sortby='count',
title='Submissions per data modality\n(multiple choices per submission possible)')
mkpic_submissions_per_key(
db, destdir, 'bg_employer', title='Submissions per venue', sortby='count')
- for pic in [mkpic_os_per_env, mkpic_software,
- mkpic_resources, mkpic_time_per_env]:
+ mkpic_submissions_per_key(
+ db, destdir, 'software_resource', title='Software resource popularity', sortby='count')
+
+ 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 / blobdiff