3 from mvpa.misc.plot.base import plot_bars
6 from json import load as jload
10 from json import read as jread
12 return jread(f.read())
18 # uniform colors for OS results
19 os_colors = ['#AA2029', '#D1942B', '#7FB142', '#69A7CE']
20 os_order = ['linux', 'mac', 'win', 'otheros']
21 time_order = ['notime', 'little', 'most', 'always']
22 time_colors = ['#FF0000', '#FF5500', '#FFAC00', '#FFFD08']
24 'notime': "don't use it",
25 'little': "less than 50%",
26 'most': "more than 50%",
30 resource_categories = {
31 'vendor': 'Vendor/Project website',
32 'retailer': 'Retailer',
33 'os': 'Operating system',
38 'freebsdports': 'FreeBSD ports',
40 'macports': 'Macports',
41 'matlabcentral': 'Matlab Central',
42 'neurodebian': 'NeuroDebian',
45 'pythonbundles': 'Python bundles',
46 'sourceforge': 'Sourceforge',
47 'other': 'Other resource'
51 'general': 'General computing',
52 'dc': 'Distributed computing',
53 'img': 'Brain imaging',
54 'datamanage': 'Data management',
55 'neusys': 'Neural systems modeling',
56 'electro': 'Electrophysiology, MEG/EEG',
57 'bci': 'Brain-computer interface',
58 'acq': 'Hardware interface/Data acquisition',
59 'rt': 'Real-time solutions',
60 'psychophys': 'Psychophysics/Experiment control'
63 # some meaningful groups of OSes
64 redhat_family = ["rhel", "centos", "fedora", "scilinux"]
65 debian_family = ["debian", "ubuntu", "biolinux"]
66 suse_family = ["suse", "slel"]
67 other_linux_family = ["gentoo", "mandriva", "arch", "slackware", "otherlinux"]
68 other_family = ["starbsd", "unix", "qnx", "beos", "solaris", "other"]
80 'linux': redhat_family + debian_family + suse_family + other_linux_family,
81 'otheros': other_family
83 # end the reverse mapping
86 for os_ in os_family[ost]:
87 os_family_rev[os_] = ost
90 def load_list2dict(name):
94 if line.strip() == "":
99 "Got a line %s with a duplicate key %s whenever value for it "
100 "is known already to be %r" % (line, kv[0], d[kv[0]]))
101 d[kv[0]] = kv[1].strip().strip('"')
107 os_dict = load_list2dict('oslist.txt')
108 datamod_dict = load_list2dict('datamodlist.txt')
109 sw_dict = load_list2dict('swlist.txt')
110 position_dict = load_list2dict('position-dd-list.txt')
111 employer_dict = load_list2dict('employer-dd-list.txt')
112 ratings_dict = load_list2dict('ratingslist.txt')
114 def __init__(self, srcdir):
115 # eats the whole directory
118 datafilenames = glob('%s/*.json' % srcdir)
119 for dfn in datafilenames:
120 rawdata = jsonload(open(dfn))
121 self[rawdata['timestamp']] = rawdata
123 def get_unique(self, key):
124 # return a set of all (unique) values for a field id
126 for d in self.values():
129 if isinstance(el, list):
130 uniq = uniq.union(el)
132 uniq = uniq.union((el,))
135 def get_not_none(self, key):
136 # return a list of all values of a specific field id
137 # the second return value is count of submission that did not have data
141 for d in self.values():
144 if isinstance(el, list):
155 def get_counts(self, key):
156 # return a dict with field values as keys and respective submission
158 vals = self.get_not_none(key)[0]
159 uniq = np.unique(vals)
160 counts = dict(zip(uniq, [vals.count(u) for u in uniq]))
163 def select_match(self, key, values):
164 # return a db with all submissions were a field id has one of the
167 for k, v in self.items():
171 if isinstance(el, list):
172 if len(set(values).intersection(el)):
178 def get_nice_name(self, id):
179 srcs = [DB.os_dict, os_cat_names, DB.sw_dict, sw_categories,
180 resource_categories, time_categories,
181 DB.datamod_dict, DB.position_dict, DB.employer_dict]
185 # not found, nothing nicer
189 def mkpic_os_per_env(db, destdir):
190 envs = ['pers_os', 'man_os', 'virt_host_os', 'virt_guest_os']
191 env_names = ['Personal', 'Managed', 'Virt. Host', 'Virt. Guest']
194 counts = db.get_counts(env)
195 stats = dict(zip(os_family.keys(), [0] * len(os_family)))
197 stats[os_family_rev[os]] += counts[os]
198 total_count = np.sum(stats.values())
203 stats[osf] = float(stats[osf]) / total_count
204 env_stats[env] = stats
205 # make stacked barplot
206 pl.figure(figsize=(6.4, 4.8))
207 x = np.arange(len(envs))
208 bottoms = np.zeros(len(envs))
209 for i, os in enumerate(os_order):
210 stat = [env_stats[e][os] for e in envs]
211 pl.bar(x, stat, bottom=bottoms, color=os_colors[i],
212 label=db.get_nice_name(os), width=0.8)
214 pl.legend(loc='lower right')
215 pl.xticks(x + 0.4, [db.get_nice_name(e) for e in env_names])
216 pl.xlim(-0.25, len(envs))
217 pl.title("Operating system preference by environment")
218 pl.ylabel("Fraction of submissions")
219 pl.savefig('%s/ospref_by_env.png' % destdir, format='png', dpi=80)
222 def mkpic_time_per_env(db, destdir):
223 envs = ['pers_time', 'man_time', 'virt_time']
224 env_names = ['Personal', 'Managed', 'Virtual']
227 counts = dict(zip(time_order, [0] * len(time_order)))
228 counts.update(db.get_counts(env))
229 total_count = np.sum(counts.values())
231 counts[c] = float(counts[c]) / total_count
232 env_stats[env] = counts
233 # make stacked barplot
234 pl.figure(figsize=(7.5, 4))
235 x = np.arange(len(envs))
236 bottoms = np.zeros(len(envs))
237 for i, t in enumerate(time_order):
238 stat = [env_stats[e][t] for e in envs]
239 pl.barh(x, stat, left=bottoms, color=time_colors[i],
240 label=db.get_nice_name(t), height=.6)
242 pl.legend(loc='center left')
243 pl.yticks(x + 0.2, env_names)
244 pl.ylim(-0.4, len(envs))
245 pl.title("Research activity time by environment")
246 pl.xlabel("Fraction of submissions")
247 pl.subplots_adjust(right=0.97)
248 pl.savefig('%s/time_by_env.png' % destdir, format='png', dpi=80)
251 def mkpic_submissions_per_key(db, destdir, key, title, sortby='name',
253 counts = db.get_counts(key)
254 pl.figure(figsize=(6.4, (len(counts)-2) * 0.4 + 2))
255 tmargin = .8/len(counts)
256 if tmargin > 0.3: tmargin = 0.3
257 pl.subplots_adjust(left=0.03, right=0.97, top=1-tmargin, bottom=tmargin)
260 pl.text(.5, .5, "[Insufficient data for this figure]",
261 horizontalalignment='center')
266 stats = sorted(counts.items(), cmp=lambda x, y: cmp(x[0], y[0]))
267 elif sortby == 'count':
268 stats = sorted(counts.items(), cmp=lambda x, y: cmp(x[1], y[1]))[::-1]
270 raise ValueError("Specify either name or count for sortby")
271 x = np.arange(len(stats))
272 pl.barh(x + (1./8), [s[1] for s in stats], height=0.75, color = '#008200')
273 pl.yticks(x + 0.5, ['' for s in stats])
274 text_offset = pl.gca().get_xlim()[1] / 30.
275 for i, s in enumerate(stats):
276 pl.text(text_offset, i+.5, db.get_nice_name(s[0]),
277 horizontalalignment='left',
278 verticalalignment='center',
279 bbox=dict(facecolor='white', alpha=0.8, edgecolor='white'))
280 pl.ylim(0, len(stats))
281 yl = "Number of submissions"
283 yl += "\n(multiple choices per submission possible)"
285 pl.savefig('%s/submissions_per_%s.png' % (destdir, key), format='png', dpi=80)
288 def mkpic_resources(db, destdir):
289 res = db.get_counts('software_resource')
291 x = np.arange(len(res))
292 pl.figure(figsize=(6.4, 4.8))
293 pl.title('Software resources')
294 pl.bar(x + (1./8), [s[1] for s in res], width=0.75, color = '#008200')
295 pl.xticks(x + 0.5, ['' for s in res])
296 for i, s in enumerate(res):
297 pl.text(i+.5, 0.1, db.get_nice_name(s[0]), rotation=90,
298 horizontalalignment='center',
299 verticalalignment='bottom',
300 bbox=dict(facecolor='white', alpha=0.8, edgecolor='white'))
301 pl.ylabel('Number of submissions')
302 pl.savefig('%s/software_resources.png' % destdir, format='png', dpi=80)
304 def mkpic_software(db, destdir):
305 for typ in sw_categories.keys():
306 mkpic_submissions_per_key(
307 db, destdir, 'sw_%s' % typ,
308 title="Software popularity: %s" % db.get_nice_name(typ),
311 def mkpic_rating_by_os(db, env, items, destdir, title):
312 pl.figure(figsize=(6.4, 4.8))
313 for i, os in enumerate(os_order):
314 ratings = [db.select_match(env,
315 os_family[os]).get_not_none('%s' % (it,))[0]
317 plot_bars(ratings, offset=((i+1)*0.2)-0.1, color=os_colors[i],
318 title=title, ylabel="Mean rating", label=db.get_nice_name(os))
320 pl.xlim((0,len(items)))
321 pl.yticks((0, 3), ['Disagree', 'Agree'], rotation=90)
322 pl.xticks(np.arange(len(items))+0.5, [i[-2:] for i in items],
323 horizontalalignment='center')
324 pl.legend(loc='lower right')
325 pl.savefig('%s/ratings_%s.png' % (destdir, env), format='png', dpi=80)
328 def main(srcdir, destdir):
330 if not os.path.exists(destdir):
333 mkpic_submissions_per_key(
334 db, destdir, 'bg_datamod', sortby='count',
335 title='Submissions per data modality\n(multiple choices per submission possible)')
337 mkpic_submissions_per_key(
338 db, destdir, 'bg_position', title='Submissions per position', sortby='count')
340 mkpic_submissions_per_key(
341 db, destdir, 'bg_country', title='Submissions per country', sortby='count')
343 mkpic_submissions_per_key(
344 db, destdir, 'bg_employer', title='Submissions per venue', sortby='count')
346 for pic in [mkpic_os_per_env, mkpic_software,
347 mkpic_resources, mkpic_time_per_env]:
349 mkpic_rating_by_os(db, 'pers_os', ['pers_r%i' % i for i in range(1, 9)], destdir,
350 "Ratings: Personal environment")
351 mkpic_rating_by_os(db, 'man_os', ['man_r%i' % i for i in range(1, 5)], destdir,
352 "Ratings: Managed environment")
353 mkpic_rating_by_os(db, 'virt_host_os', ['virt_r%i' % i for i in range(1, 4)], destdir,
354 "Ratings: Virtual environment (by host OS)")
355 # submission stats: this is RST
356 statsfile = open('%s/stats.txt' % destdir, 'w')
357 statsfile.write('::\n\n Number of submissions: %i\n' % len(db))
358 statsfile.write(' Statistics last updated: %s\n\n' \
359 % time.strftime('%A, %B %d %Y, %H:%M:%S UTC', time.gmtime()))
362 if __name__ == '__main__':
363 main(sys.argv[1], sys.argv[2])