# uniform colors for OS results
os_colors = ['#B63537', '#4E4DA0', '#008200', 'gray']
os_order = ['linux', 'mac', 'win', 'otheros']
+time_order = ['notime', 'little', 'most', 'always']
+time_colors = ['#AA2029', '#D1942B', '#7FB142', '#69A7CE']
+time_categories = {
+ 'notime': "don't use it",
+ 'little': "less than 50%",
+ 'most': "more than 50%",
+ 'always': "always"
+ }
# resources
resource_categories = {
'vendor': 'Vendor/Project website',
os_dict = load_list2dict('oslist.txt')
datamod_dict = load_list2dict('datamodlist.txt')
sw_dict = load_list2dict('swlist.txt')
+ position_dict = load_list2dict('position-dd-list.txt')
+ employer_dict = load_list2dict('employer-dd-list.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, DB.datamod_dict]
+ resource_categories, time_categories,
+ DB.datamod_dict, DB.position_dict, DB.employer_dict]
for src in srcs:
if id in src:
return src[id]
def mkpic_os_per_env(db, destdir):
- envs = ['pers_os', 'man_os', 'virt_host_os', 'virt_guest_os']
+ envs = ['pers', 'man', 'virt', 'virt']
env_names = ['Personal', 'Managed', 'Virt. Host', 'Virt. Guest']
env_stats = {}
- offset = 0
for env in envs:
counts = db.get_counts(env)
stats = dict(zip(os_family.keys(), [0] * len(os_family)))
stats[os_family_rev[os]] += counts[os]
total_count = np.sum(stats.values())
for osf in stats:
- stats[osf] = float(stats[osf]) / total_count
+ if not total_count:
+ stats[osf] = 0
+ else:
+ stats[osf] = float(stats[osf]) / total_count
env_stats[env] = stats
# make stacked barplot
pl.figure(figsize=(6.4, 4.8))
pl.savefig('%s/ospref_by_env.png' % destdir, format='png', dpi=80)
+def mkpic_time_per_env(db, destdir):
+ 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]
+ pl.barh(x, stat, left=bottoms, color=time_colors[i],
+ label=db.get_nice_name(t), height=.6)
+ 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.savefig('%s/ospref_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)
db, destdir, 'bg_employer', title='Submissions per venue', sortby='count')
for pic in [mkpic_os_per_env, mkpic_software,
- mkpic_resources]:
+ mkpic_resources, 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")