pip install jiebapip install wordcloud

pip install scipypip install matplotlib

#-*-coding:utf-8—-*-import jieba.analysefrom wordcloud import WordCloud,ImageColorGeneratorfrom scipy.misc import imreadimport matplotlib.pyplot as pltclass 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說白了就是返回幾個關鍵詞  self.text = ' '.join(self.tags) #把分詞鏈接起來，加空格因為英文靠空格分詞  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)###直接在這里進行猜####font_path指的是字體文件路徑，因為wordcloud自帶的字體不支持中文所以我們要指定一個字體文件，否者輸出的圖片全是框框#background_color 默認是黑色　我設置成白色#max_words最大顯示的詞數#mask 背景圖片#max_font_size　最大字體字號  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 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()