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如何在非独项列表中使用字典理解
原标题:How to Use a Dictionary Comprehension on a List of Non-Unique Items

昨天,我正在研究一个问题, 我想拿一个非独有项目列表, 用它们制作一个字典, 里面有列表中项目的独特版本, 与每个出现的次数相匹配。 这听起来相当直截了当, 我立即开始为它写一本字典理解, 直到我开始意识到自己不知道如何完成, 因为我正在运行的钥匙不是独一无二的, 值应该是添加的。 但它仍然觉得应该有一个优雅的字典理解。 理念?

我想要的是一个理解 做以下事情:

#given
lst = [1,1,1,7,5,8,3,8,5,9,1]
#do
a_dict = defaultdict(int)
for item in lst:
    a_dict[item] +=1
最佳回答

http://docs.python.org/library/countings.html#counter-objects" rel=“nofollow”>收集模块 中的分类似乎可以做你想做的事。

你可以做这样的事情:

from collections import Counter
a_dict = Counter(lst)

Python的版本比2.7年大,没有台词类, 但你也许可以做这样的事情:

a_dict = dict((x, lst.count(x)) for x in set(lst))

不需要 set 转换。 它可能会使代码运行速度更快, 用于包含许多相同项目的大型列表, 但我不确定, 因为我没有设定基准 。

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