import jieba

 from matplotlib import pyplot as plt

 from wordcloud import WordCloud

 from PIL import Image

 import numpy as np

 txt = (open("红楼梦.txt", "r", encoding='utf-8')).read()

 file1 = open("stopwords_cn.txt")

 file2 = open("stopwords_cn(more).txt")

 ls1 = []

 while 1:

     line = file1.readline()

     new_word = line.strip()

     if not line:

         break

     ls1.append(new_word)

 ls2 = []

 while 1:

     line = file2.readline()

     new_word = line.strip()

     if not line:

         break

     ls2.append(new_word)

 ls = ls1+ls2

 words = jieba.lcut(txt)

 counts = {}

 for word in words:

     for i in ls:

         if word == i:

             continue

     if (len(word)) == 1:

         continue

     else:

         counts[word] = counts.get(word, 0) + 1

 items = list(counts.items())

 items.sort(key=lambda x: x[1], reverse=True)

 for i in range(15):

     word, count = items[i]

     print("{0:<10}{1:>5}".format(word, count))

 string = ' '.join(words)

 print(len(string))

 img = Image.open('22.png') #打开图片

 img_array = np.array(img) #将图片装换为数组

 stopword=['什么', '一个', '我们', '那里', '你们', '如今', '起来', '知道', '这里', '众人', '他们', '出来', '自己', '说道', '听见', '两个', '姑娘', '不好',

           '不知', '只见', '东西', '告诉']  #设置停止词，也就是你不想显示的词，这里这个词是我前期处理没处理好，你可以删掉他看看他的作用

 stopword=stopword+ls

 print(stopword)

 wc = WordCloud(

     background_color='white',

     width=1000,

     height=800,

     mask=img_array,

     font_path='./fonts/simhei.ttf',

     stopwords=stopword

 )

 wc.generate_from_text(string)#绘制图片

 plt.imshow(wc)

 plt.axis('off')

 plt.figure()

 plt.show()  #显示图片

 wc.to_file('new.png')  #保存图片