python的文章词频分析

Question

文章的词频分析，看到了好多的人写的代码，很少运行成功，还是要txt文件保存

Answer 1

import jieba
from collections import Counter
with open("词频文档.txt", "r",encoding="utf-8") as f:
    words = jieba.lcut(f.read())
    words = [item for item in words if len(item)>1]
counts = Counter(words)
for word,count in counts.most_common(200):
    print(word,count)
print ('已统计数量排前10的词')