import numpy as np
from PIL import Image
import re
import jieba
from wordcloud import WordCloud,ImageColorGenerator,STOPWORDS
import matplotlib.pyplot as plt
# http://www.cnblogs.com/hatemath/
# 打开存放项目名称的txt文件
with open('content.txt','r',encoding='utf-8') as f:
  word= (f.read())
  f.close()

# 图片模板和字体
image=np.array(Image.open('ditu.jpg')) 
font=r'C:\\Windows\\fonts\\msyh.ttf' 

# 去掉英文，保留中文 
resultword=re.sub("[A-Za-z0-9\[\`\~\!\@\#\$\^\&\*\(\)\=\|\{\}\'\:\;\'\,\[\]\.\<\>\/\", "",word) 
wordlist_after_jieba = jieba.cut(resultword) 
wl_space_split = " ".join(wordlist_after_jieba) 

# 设置停用词 
sw = set(STOPWORDS) 
sw.add("研发")
sw.add("系列")
sw.add("这里不多写了，根据自己情况添加")

# 关键一步
my_wordcloud = WordCloud(scale=4,font_path=font,mask=image,stopwords=sw,background_color='white',
             max_words = 100,max_font_size = 60,random_state=20).generate(wl_space_split) 

#显示生成的词云 
plt.imshow(my_wordcloud)
plt.axis("off") 
plt.show() 

#保存生成的图片
my_wordcloud.to_file('result.jpg')

# 关键一步
my_wordcloud = WordCloud(scale=4,font_path=font,mask=image,stopwords=sw,background_color='white',
max_words = 100,max_font_size = 60,random_state=20).generate(wl_space_split)