scrore_group.py

from collections import defaultdict
def gen_dict(a):
    d = defaultdict(list)
    # the score would be look like this [('image_name', response_time)...]
    # Group the list by image_name and combine the score
    for k,v in a:
        d[k].append(v)
    # Output: defaultdict(<type 'list'>, {'a': [1, 2, 3], 'c': [1, 2, 3], 'b': [1, 2, 3]})
    # >>> d['a']
    # [1, 2, 3]
    # We flatten it into a list of list and later save it as csv
    score_list = []
    for name, score in d.iteritems():
        x = [name]
        x.extend(score)
        score_list.append(x)
    # >>> score_list
    # [['a', 1, 2, 3], ['c', 1, 2, 3], ['b', 1, 2, 3]]
    return score_list

# PoC
import random
images = 'ABCDEFGHIJKLMN'
image_set = list(images) * 12
random.shuffle(image_set)
scores = [random.randint(50,200) + random.random() for x in image_set]
result = zip(image_set, scores)