Lines Matching refs:row
46 for row in row_dict:
48 self._GetRank(row['url']) > options.rank_limit):
51 load_time = float(row['load_time (ms)'])
53 print 'Skipping %s due to negative load time' % row['url']
55 for key, value in row.iteritems():
64 self.avgs[key].append((value, row['url']))
66 self.maxes[key].append((value, row['url']))
68 self.totals[key].append((value, row['url']))
70 self.load_times.append((load_time, row['url']))
71 self.cpu_times.append((cpu_time, row['url']))
74 self.totals['Network (ms)'].append((network_time, row['url']))
75 self.network_percents.append((network_time / load_time, row['url']))
82 for row in csv.reader(csvfile):
83 assert len(row) == 2
84 self.ranks[row[1]] = int(row[0])