pip install jieba
pip install wordcloud

pip install scipy
pip install matplotlib

#-*-coding:utf-8—-*-
import jieba.analyse
from wordcloud import WordCloud,ImageColorGenerator
from scipy.misc import imread
import matplotlib.pyplot as plt

class wc:
  def __init__(self,txt_file,img_file,font_file):
   self.f = open(txt_file,'r')
  self.txt = self.f.read()
   self.f.close()
  self.tags = jieba.analyse.extract_tags(self.txt,topK=100)
  #topK說(shuō)白了就是返回幾個(gè)關(guān)鍵詞
  self.text = ' '.join(self.tags) #把分詞鏈接起來(lái)，加空格因?yàn)橛⑽目靠崭穹衷~
  self.img = imread(img_file)
  self.wc = WordCloud(font_path=font_file,background_color='white',max_words=100,mask=self.img,max_font_size=80)
###直接在這里進(jìn)行猜###
#font_path指的是字體文件路徑，因?yàn)閣ordcloud自帶的字體不支持中文所以我們要指定一個(gè)字體文件，否者輸出的圖片全是框框
#background_color 默認(rèn)是黑色　我設(shè)置成白色
#max_words最大顯示的詞數(shù)
#mask 背景圖片
#max_font_size　最大字體字號(hào)
  self.word_cloud = self.wc.generate(self.text)

  def show_wc(self):
  #img_color = ImageColorGenerator(self.img)
    plt.imshow(self.word_cloud)
#可以通過(guò) plt.imshow(self.wc.recolor(color_func=img_color))使圖片顏色跟字體顏色一樣
    plt.axis("off")
    plt.show()


if __name__=='__main__':
  mywc = wc('sanwen.txt','out.png','font.ttc')
  mywc.show_wc()