def init_g2c_stats(self):
if self._stats:
return
curves = g2c_db_curves()
counts = self._counts
total = counts["ncurves"]
stats = {}
dists = []
# TODO use aggregate $group to speed this up and/or just store these counts in the database
for attr in stats_attribute_list:
counts = attribute_value_counts(curves, attr['name'])
vcounts = []
rows = []
avg = 0
for value,n in counts:
prop = format_percentage(n,total)
if 'avg' in attr and attr['avg']:
avg += n*value
value_string = attr['format'](value) if 'format' in attr else value
vcounts.append({'value': value_string, 'curves': n, 'query':url_for(".index_Q")+'?'+attr['name']+'='+str(value),'proportion': prop})
if len(vcounts) == 10:
rows.append(vcounts)
vcounts = []
if len(vcounts):
rows.append(vcounts)
if 'avg' in attr and attr['avg']:
vcounts.append({'value':'\(\\mathrm{avg}\\ %.2f\)'%(float(avg)/total), 'curves':total, 'query':url_for(".index_Q") +'?'+attr['name'],'proportion':format_percentage(1,1)})
dists.append({'attribute':attr,'rows':rows})
stats["distributions"] = dists
self._stats = stats
def init_g2c_stats(self):
if self._stats:
return
curves = g2c_db_curves()
counts = self._counts
total = counts["ncurves"]
stats = {}
dists = []
# TODO use aggregate $group to speed this up and/or just store these counts in the database
for attr in stats_attribute_list:
counts = attribute_value_counts(curves, attr['name'])
vcounts = []
rows = []
avg = 0
for value,n in counts:
prop = format_percentage(n,total)
if 'avg' in attr and attr['avg']:
avg += n*value
value_string = attr['format'](value) if 'format' in attr else value
vcounts.append({'value': value_string, 'curves': n, 'query':url_for(".index_Q")+'?'+attr['name']+'='+str(value),'proportion': prop})
if len(vcounts) == 10:
rows.append(vcounts)
vcounts = []
if len(vcounts):
rows.append(vcounts)
if 'avg' in attr and attr['avg']:
vcounts.append({'value':'\(\\mathrm{avg}\\ %.2f\)'%(float(avg)/total), 'curves':total, 'query':url_for(".index_Q") +'?'+attr['name'],'proportion':format_percentage(1,1)})
dists.append({'attribute':attr,'rows':rows})
stats["distributions"] = dists
self._stats = stats
def init_belyi_stats(self):
if self._stats:
return
galmaps = belyi_db_galmaps()
counts = self._counts
total = counts["ngalmaps"]
stats = {}
dists = []
# TODO use aggregate $group to speed this up and/or just store these counts in the database
for attr in stats_attribute_list:
counts = attribute_value_counts(galmaps, attr['name'])
counts = [c for c in counts if c[0] != None]
if len(counts) == 0:
continue
vcounts = []
rows = []
avg = 0
total = sum([c[1] for c in counts])
for value, n in counts:
prop = format_percentage(n, total)
if 'avg' in attr and attr['avg'] and (type(value) == int
or type(value) == float):
avg += n * value
value_string = attr['format'](
value) if 'format' in attr else value
vcounts.append({
'value':
value_string,
'curves':
n,
'query':
url_for(".index") + '?' + attr['name'] + '=' + str(value),
'proportion':
prop
})
if len(vcounts) == 10:
rows.append(vcounts)
vcounts = []
if len(vcounts):
rows.append(vcounts)
if 'avg' in attr and attr['avg']:
vcounts.append({
'value':
'\(\\mathrm{avg}\\ %.2f\)' % (float(avg) / total),
'galmaps':
total,
'query':
url_for(".index") + '?' + attr['name'],
'proportion':
format_percentage(1, 1)
})
dists.append({'attribute': attr, 'rows': rows})
stats["distributions"] = dists
self._stats = stats