方法一、统计列表中每个元素出现的次数

def  calculate_count():
    from random import randint
    data = [randint(0,3) for _ in xrange(6)]
    print data  # [1, 3, 3, 2, 2, 1]

    c = dict.fromkeys(data,0)   # {0: 0, 1: 0, 2: 0, 3: 0}

    for x in data:
        c[x]+=1
    print c   # {1: 2, 2: 2, 3: 2}

思考：找出来出现频度最高的元素及次数？

方法二、统计列表中每个元素出现的次数

def  calculate_count2():
    from collections import Counter

    data = [1,2,2,2,3,3,5,6,6,6,6]
    c = Counter(data)
    print c   # Counter({6: 4, 2: 3, 3: 2, 1: 1, 5: 1}),得到一个字典
    print c[6]  # 4
    print c.most_common(2)  # [(6, 4), (2, 3)],查找出现频度为前两个的

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实战：找出一篇文章中出现次数最高的单词

def  calculate_count3():
    from collections import Counter
    content = open('2.txt','r').read()
    print content,type(content)  # i love python , and you? if you love it too? <type 'str'>
    import re
    c = Counter(re.split('\W+',content))
    print c  # Counter({'love': 2, 'you': 2, 'and': 1, '': 1, 'i': 1, 'it': 1, 'python': 1, 'too': 1, 'if': 1})
    num = c.most_common(1)
    print num  # [('love', 2)]