这有点令人费解,所以如果我错过了一个简单的构造,请告诉我:)
我正在分析一些匹配实验的结果。在最后的游戏中,我希望能够查询诸如experiments[0]["cat"]["cat"]
之类的内容,这会产生“cat”与“cat”匹配的次数。相反,我可以experiments[0]["cat"]["dog"]
,当第一个查询是一只猫并且匹配尝试是一只狗时。
以下是填充此结构的代码:
# initializing the first layer, a list of dictionaries.
experiments = []
for assignment in assignments:
match_sums = {}
experiments.append(match_sums)
for i in xrange(len(classes)):
for experiment in xrange(len(experiments)):
# experiments[experiment][classes[i]] should hold a dictionary,
# where the keys are the things that were matched against classes[i],
# and the value is the number of times this occurred.
experiments[experiment][classes[i]] = collections.defaultdict(dict)
# matches[experiment][i] is an integer for what the i'th match was in an experiment.
# classes[j] for some integer j is the string name of the i'th match. could be "dog" or "cat".
experiments[experiment][classes[i]][classes[matches[experiment][i]]] += 1
total_class_sums[classes[i]] = total_class_sums.get(classes[i], 0) + 1
print experiments[0]["cat"]["cat"]
exit()
很明显,这有点令人费解。我在最后一场比赛中获得的值为“1”,而不是experiments[0]["cat"]
的完整字典。我接近这个错了吗?这里的错误是什么?对不起,感谢疯狂,感谢任何可能的帮助!
答案 0 :(得分:2)
两点:
collections.Counter
。 (您可以使用defaultdict(int)
,但Counter
更有用。)所以,而不是
experiments[experiment][classes[i]][classes[matches[experiment][i]]] += 1
写
experiments = Counter()
...
experiments[experiment, classes[i], classes[matches[experiment][i]]] += 1
答案 1 :(得分:0)
我只是想猜测你的需求,所以我试图改变你的尺寸顺序。
for className, classIdx in enumerate(classes):
experiment = collections.defaultdict(list)
experiments[className] = experiment
for assignment,assignmentIdx in enumerate(assignments):
counterpart = classes[matches[assignmentIdx][classIdx]]
experiment[counterpart].append((assignment,assignmentIdx))
print(len(experiments["cat"]["cat"]), len(experiments["cat"]))