#!/usr/bin/python
+from mvpa.misc.plot.base import plot_bars
from glob import glob
-import json
+try:
+ from json import load as jload
+ def jsonload(f):
+ return jload(f)
+except ImportError:
+ from json import read as jread
+ def jsonload(f):
+ return jread(f.read())
import sys
import pylab as pl
import numpy as np
+import time
+# uniform colors for OS results
+os_colors = ['#B63537', '#4E4DA0', '#008200', 'gray']
+os_order = ['linux', 'mac', 'win', 'otheros']
# resources
resource_categories = {
'vendor': 'Vendor/Project website',
'bci': 'Brain-computer interface',
'acq': 'Hardware interface/Data acquisition',
'rt': 'Real-time solutions',
- 'psychphys': 'Psychophysics/Experiment control'
+ 'psychophys': 'Psychophysics/Experiment control'
}
# some meaningful groups of OSes
os_family_rev[os] = ost
+def load_list2dict(name):
+ d = {}
+ lfile = open(name)
+ for line in lfile:
+ kv = line.split(':')
+ d[kv[0]] = kv[1].strip().strip('"')
+ return d
+
+
+
class DB(dict):
+ os_dict = load_list2dict('oslist.txt')
+ datamod_dict = load_list2dict('datamodlist.txt')
+ sw_dict = load_list2dict('swlist.txt')
+
def __init__(self, srcdir):
# eats the whole directory
+ if srcdir is None:
+ return
datafilenames = glob('%s/*.json' % srcdir)
for dfn in datafilenames:
- rawdata = json.load(open(dfn))
+ rawdata = jsonload(open(dfn))
self[rawdata['timestamp']] = rawdata
- self.os_dict = load_list2dict('oslist.txt')
- self.datamod_dict = load_list2dict('datamodlist.txt')
- self.sw_dict = load_list2dict('swlist.txt')
-
-
def get_unique(self, key):
# return a set of all (unique) values for a field id
uniq = set()
def select_match(self, key, values):
# return a db with all submissions were a field id has one of the
# supplied values
- match = {}
+ match = DB(None)
for k, v in self.items():
if not key in v:
continue
return match
def get_nice_name(self, id):
- srcs = [self.os_dict, os_cat_names, self.sw_dict, sw_categories,
+ srcs = [DB.os_dict, os_cat_names, DB.sw_dict, sw_categories,
resource_categories]
for src in srcs:
if id in src:
return id
-def load_list2dict(name):
- d = {}
- lfile = open(name)
- for line in lfile:
- kv = line.split(':')
- d[kv[0]] = kv[1].strip().strip('"')
- return d
-
def mkpic_os_per_env(db, destdir):
envs = ['pers_os', 'man_os', 'virt_host_os', 'virt_guest_os']
env_names = ['Personal', 'Managed', 'Virt. Host', 'Virt. Guest']
stats[osf] = float(stats[osf]) / total_count
env_stats[env] = stats
# make stacked barplot
- pl.figure(figsize=(6.4, 4.8), facecolor='w', edgecolor='k')
+ pl.figure(figsize=(6.4, 4.8))
x = np.arange(len(envs))
bottoms = np.zeros(len(envs))
- os_order = ['linux', 'mac', 'win', 'otheros']
- colors = ['#B63537', '#4E4DA0', '#008200', 'gray']
for i, os in enumerate(os_order):
stat = [env_stats[e][os] for e in envs]
- pl.bar(x, stat, bottom=bottoms, color=colors[i],
+ pl.bar(x, stat, bottom=bottoms, color=os_colors[i],
label=db.get_nice_name(os), width=0.8)
bottoms += stat
pl.legend(loc='lower right')
pl.xlim(-0.25, len(envs))
pl.title("Operating system preference by environment")
pl.ylabel("Fraction of submissions")
- pl.savefig('%s/ospref_by_env.png' % destdir, format='png')
+ pl.savefig('%s/ospref_by_env.png' % destdir, format='png', dpi=80)
def mkpic_submissions_per_datamod(db, destdir):
# simple demo
spd = db.get_counts('bg_datamod')
spd = sorted(spd.items(), cmp=lambda x, y: cmp(x[1], y[1]))[::-1]
x = np.arange(len(spd))
- pl.figure(figsize=(6.4, 4.8), facecolor='w', edgecolor='k')
+ pl.figure(figsize=(6.4, 4.8))
pl.title('Submissions per data modality')
pl.bar(x, [s[1] for s in spd])
pl.xticks(x + 0.5, [db.datamod_dict[k[0]] for k in spd], rotation=-10)
pl.ylabel('Survey submissions per data modality\n(multiple choices per submission possible)')
- pl.savefig('%s/submissions_per_datamod.png' % destdir, format='png')
+ pl.savefig('%s/submissions_per_datamod.png' % destdir, 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), facecolor='w', edgecolor='k')
+ 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])
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',
- color='white'))
+ bbox=dict(facecolor='white', alpha=0.8, edgecolor='white'))
pl.ylabel('Number of submissions')
- pl.savefig('%s/software_resources' % destdir, format='png')
+ pl.savefig('%s/software_resources.png' % destdir, format='png', dpi=80)
def mkpic_software(db, destdir):
for typ in sw_categories.keys():
counts = db.get_counts('sw_%s' % typ)
- pl.figure(figsize=(6.4, 4.8), facecolor='w', edgecolor='k')
+ pl.figure(figsize=(6.4, 4.8))
+ pl.title("Software popularity: %s" % db.get_nice_name(typ))
if not len(counts):
- pl.text(.5, .5, "Insufficient data for this figure.",
+ pl.text(.5, .5, "[Insufficient data for this figure]",
horizontalalignment='center')
pl.axis('off')
else:
stats = sorted(counts.items(), cmp=lambda x, y: cmp(x[0], y[0]))
x = np.arange(len(stats))
pl.bar(x + (1./8), [s[1] for s in stats], width=0.75, color = '#008200')
- pl.title("Software popularity: %s" % db.get_nice_name(typ))
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',
- bbox=dict(facecolor='white', alpha=0.8, edgecolor='white',
- color='white'))
+ bbox=dict(facecolor='white', alpha=0.8, edgecolor='white'))
pl.xlim(0, len(stats))
pl.ylabel("Number of submissions")
- pl.savefig('%s/sw_%s.png' % (destdir, typ), format='png')
+ pl.savefig('%s/sw_%s.png' % (destdir, typ), format='png', dpi=80)
+
+def mkpic_rating_by_os(db, env, items, destdir, title):
+ pl.figure(figsize=(6.4, 4.8))
+ for i, os in enumerate(os_order):
+ ratings = [db.select_match(env,
+ os_family[os]).get_not_none('%s' % (it,))[0]
+ for it in items]
+ 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))
+ pl.ylim((0,3))
+ pl.xlim((0,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.savefig('%s/ratings_%s.png' % (destdir, env), format='png', dpi=80)
def main(srcdir, destdir):
for pic in [mkpic_submissions_per_datamod, mkpic_os_per_env, mkpic_software,
mkpic_resources]:
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)")
+ # submission stats: this is RST
+ statsfile = open('%s/stats.txt' % destdir, 'w')
+ statsfile.write('::\n\n Number of submissions: %i\n' % len(db))
+ statsfile.write(' Statistics last updated: %s\n\n' \
+ % time.strftime('%A, %B %d %Y, %H:%M:%S UTC', time.gmtime()))
+ statsfile.close()
if __name__ == '__main__':
main(sys.argv[1], sys.argv[2])
projects / neurodebian.git / blobdiff