1 import sys 2 reload(sys) 3 sys.setdefaultencoding(‘utf-8‘) 4  5 from os import path 6 from PIL import Image 7 import numpy as np 8 import matplotlib.pyplot as plt 9 10 from wordcloud import WordCloud11 import jieba12 d = path.dirname(__file__)13 14 stopWordFile = u‘stopwords.txt‘15 stopWordList = []16 for L in open(path.join(d , stopWordFile)).readlines():17     stopWordList.append(L.strip().decode(‘utf-8‘))18 stopWordList = set(stopWordList)19 20 new = ‘words.txt‘21 22 text = open(path.join( d , new )).read().strip(‘\r‘)23 wordDict = {}24 for w in jieba.cut(text):25     if w not in stopWordList:26         wordDict.setdefault(w , 0)27         wordDict[w] += 128     29 maskImg = ‘china.jpeg‘30 alice_mask = np.array( Image.open(path.join(d , maskImg)))31 32 wc = WordCloud(background_color = ‘white‘, max_words = 2000 , mask = alice_mask ,33                font_path = path.join(d , ‘msyh.ttf‘))34 wc.generate_from_frequencies(wordDict)35 36 wc.to_file(path.join(d, "example.png"))37 38 # show39 plt.imshow(wc, interpolation=‘bilinear‘)40 plt.axis("off")41 plt.figure()42 plt.imshow(alice_mask, cmap=plt.cm.gray, interpolation=‘bilinear‘)43 plt.axis("off")44 plt.show()