对《孔乙已》文章的分析及生成词云

import jieba as j
import wordcloud as wc

txt = open("孔乙已.txt", "r", encoding='utf-8').read()
words = jieba.lcut(txt)     # 使用精确模式对文本进行分词
counts = {}     # 通过键值对的形式存储词语及其出现的次数

for word in words:
    if  len(word) == 1:    # 单个词语不计算在内
        continue
    else:
        counts[word] = counts.get(word, 0) + 1    # 遍历所有词语，每出现一次其对应的值加 1
        
items = list(counts.items())#将键值对转换成列表
items.sort(key=lambda x: x[1], reverse=True)    # 根据词语出现的次数进行从大到小排序

for i in range(15):
    word, count = items[i]
    print("{0:<5}{1:>5}".format(word, count))
    
    
#分词
f = open("孔乙已.txt","r",encoding='utf-8')
txt = f.read()
f.close()
ls = j.lcut(txt)
txt = " ".join(ls)
w = wc.WordCloud(font_path="msyh.ttc",\
    width=1000,height=700,background_color="white",\
    )
w.generate(txt)
w.to_file("孔乙已.png")