python统计序列中元素的方法

#!/usr/bin/python3
 
from random import randint
 
 
def count_seq(data):
 
 # 初始化统计结果字典,data中的key作为结果字典的key，0作为每个key的初始值
 result_c = dict.fromkeys(data, 0)
 
 # 循环data，对字典中中碰到的值进行 +1 ，循环完成后就是结果
 for x in data:
 result_c[x] += 1
 return result_c
 
if __name__ == '__main__':
 # 生成２０个随机数
 data = [randint(0, 20) for _ in range(20)]
 print(data)
 
 # 结果
 result_c = count_seq(data)
 for i in result_c:
 print(i, result_c[i])

#!/usr/bin/python3
 
from random import randint
from collections import Counter
 
 
def count_seq(data):
 
 # 创建Counter对象，并把打他传递进去
 median_c = Counter(data)
 
 # 返回统计最大的3个数
 return median_c.most_common(3)
 
if __name__ == '__main__':
 # 生成２０个随机数
 data = [randint(0, 20) for _ in range(20)]
 print(data)
 
 # 结果
 result_c = count_seq(data)
 print(result_c, dict(result_c))

import re
from collections import Counter
 
 
def count_words():
 # 读取文件
 with open('english_article', 'r', encoding='utf-8') as data:
 print()
 # 文件单词分割
 data_list = re.split('W+', data.read())
 # 单词统计
 words = Counter(data_list)
 # 取单词统计最大的10个值
 return words.most_common(10)
 
if __name__ == '__main__':
 result = count_words()
 print(result)