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