词云分析之英文

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from pyecharts import WordCloud import jieba import re import nltk     with open(r'F:\算法\others\merry.txt', 'r', encoding='utf-8') as f:     text = f.readlines()     word_list = []     word_dic = {}     for line in text:         if re.findall('([a-zA-Z])', line.strip()):             result = "".join(i for i in line.strip() if ord(i) < 256)             from nltk.tokenize import WordPunctTokenizer             words = WordPunctTokenizer().tokenize(result)             for w in words:                 if 97 <= ord(w.lower()[0]) <= 122:                     word_list.append(w)     # print(word_list)     set_word_list = list(set(word_list))     for set_word in set_word_list:         word_dic[set_word] = word_list.count(set_word)     # print(word_dic) name = [] value = [] for k,v in word_dic.items():     name.append(k)     value.append(int(v)*100) wordcloud = WordCloud(width=1300, height=620) wordcloud.add("", name, value, word_size_range=[20, 100],shape='pentagon') wordcloud.render('test.html')