如何从python中的列表中获取最常见的元素

时间:2015-09-26 11:10:55

标签: python list python-3.x

我有一个如此处所示的列表。 a=[1936,2401,2916,4761,9216,9216,9604,9801] 我想获得更多重复的值。在这里它是' 9216'我怎么能得到这个价值?感谢

4 个答案:

答案 0 :(得分:5)

您可以使用collections.Counter

from collections import Counter

a = [1936, 2401, 2916, 4761, 9216, 9216, 9604, 9801] 

c = Counter(a)

print(c.most_common(1)) # the one most common element... 2 would mean the 2 most common
[(9216, 2)] # a set containing the element, and it's count in 'a'

来自文档:

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答案 1 :(得分:0)

https://docs.python.org/2.7/library/collections.html#counter

来自集合导入计数器 计数器的(a).most_common(1)

答案 2 :(得分:0)

这是另一个不使用计数器

的人
a=[1936,2401,2916,4761,9216,9216,9604,9801]
frequency = {}
for element in a:
    frequency[element] = frequency.get(element, 0) + 1
# create a list of keys and sort the list
# all words are lower case already
keyList = frequency.keys()
keyList.sort()
print "Frequency of each word in the word list (sorted):"
for keyElement in keyList:
    print "%-10s %d" % (keyElement, frequency[keyElement])

答案 3 :(得分:0)

有两种标准的库方式可以做到这一点:

statistics.mode

from statistics import mode
most_common = mode([3, 2, 2, 2, 1])  # 2
most_common = mode([3, 2])  # StatisticsError: no unique mode

collections.Counter.most_common

from collections import Counter
most_common, count = Counter([3, 2, 2, 2, 1]).most_common(1)[0]  # 2, 3
most_common, count = Counter([3, 2]).most_common(1)[0]  # 3, 1

两者在性能上是相同的,但是第一个在没有唯一最常见的元素时引发异常,第二个也返回频率。