7

可能重复:
如何计算列表中元素的频率?

我希望计算列表中相同值元素的数量并返回一个字典:

> a = map(int,[x**0.5 for x in range(20)])
> a
> [0, 1, 1, 1, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4] 

> number_of_elements_by_value(a)
> {0:1, 1:3, 2:5, 3:7, 4:4}

我想这是一种直方图?

4

4 回答 4

8

如果您没有collections.Counter可用的,这是一个好方法

from collections import defaultdict
d = defaultdict(int)
a = map(int, [x**0.5 for x in range(20)])
for i in a:
    d[i] += 1

print d
于 2010-11-09T09:39:47.143 回答
7

使用计数器

>>> from collections import Counter

>>> a = map(int,[x**0.5 for x in range(20)])
>>> a
[0, 1, 1, 1, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4] 
>>> c = Counter(a)
>>> c[2]
5
于 2010-11-09T09:10:44.380 回答
4

使用 count 获取列表中元素的计数并设置唯一元素:

>>> l = [0, 1, 1, 1, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4]
>>> k = [(x, l.count(x)) for x in set(l)]
>>> k
[(0, 1), (1, 3), (2, 5), (3, 7), (4, 4)]
>>> 
>>> 
>>> dict(k)
{0: 1, 1: 3, 2: 5, 3: 7, 4: 4}
>>> 
于 2010-11-09T09:12:58.453 回答
0

在有 Counter 之前,有 groupby:

>>> a = map(int,[x**0.5 for x in range(20)])
>>> from itertools import groupby
>>> a_hist= dict((g[0],len(list(g[1]))) for g in groupby(a))
>>> a_hist
{0: 1, 1: 3, 2: 5, 3: 7, 4: 4}

(要使 groupby 用于此目的,输入列表a必须按排序顺序。在这种情况下,a已经排序。)

于 2010-11-09T14:14:25.963 回答