中文词频统计及词云制作

Posted 2020-10-08

1.中软国际华南区技术总监曾老师还会来上两次课，同学们希望曾老师讲些什么内容？

讲下Python的主要运用领域以及未来就业的方向

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2.中文分词

1. 下载一中文长篇小说，并转换成UTF-8编码。
2. 使用jieba库，进行中文词频统计，输出TOP20的词及出现次数。

import jieba

book = "武动乾坤.txt"
txt = open(book,"r",encoding=‘utf-8‘).read()

exc = {‘林动‘,‘女子‘,‘男子‘,‘敌人‘}

ls = []
words = jieba.lcut(txt)
counts = {}
for word in words:
    ls.append(word)
    if len(word) == 1:
        continue
    else:
        counts[word] = counts.get(word,0)+1
for word in exc:
    del(counts[word])   
items = list(counts.items())
items.sort(key = lambda x:x[1], reverse = True)
for i in range(20):
    word , count = items[i]
    print ("{:<10}{:>5}".format(word,count))