old_contents: # - * - coding: utf - 8 -*-
  """
  create wordcloud with chinese
  =======================
  
  Wordcloud is a very good tools, but if you want to create
  Chinese wordcloud only wordcloud is not enough. The file
  shows how to use wordcloud with Chinese. First, you need a
  Chinese word segmentation library jieba, jieba is now the
  most elegant the most popular Chinese word segmentation tool in python.
  You can use 'PIP install jieba'. To install it. As you can see,
  at the same time using wordcloud with jieba very convenient
  """
  
  import jieba
  from os import path
  from scipy.misc import imread
  import matplotlib.pyplot as plt
  # jieba.load_userdict("txt\userdict.txt")
  # add userdict by load_userdict()
  from wordcloud import WordCloud, ImageColorGenerator,STOPWORDS
  
  d = path.dirname(__file__)
  
  stopwords_path = d + '/CNENstopwords.txt'
  font_path = d + '/simkai.ttf'
  
  # the path to save worldcloud
  imgname1 = d + '/WordCloudDefautColors.png'
  imgname2 = d + '/WordCloudColorsByImg.png'
  # read the mask / color image taken from
  back_coloring = imread(path.join(d, d + '/DragonRaja.jpg'))
  
  # Read the whole text.
  text = open(path.join(d, d + '/DragonRaja.txt')).read()
  
  # if you want use wordCloud,you need it
  # add userdict by add_word()
  userdict_list = ['路明非']
  for word in userdict_list:
      jieba.add_word(word)
  
  f_stop = open(stopwords_path,encoding='utf8')
  try:
      f_stop_text = f_stop.read()
      f_stop_seg_list = f_stop_text.split('\n')
  finally:
      f_stop.close()
  
  stopwords = set(STOPWORDS)
  for stopword in f_stop_seg_list:
      stopwords.add(stopword)
  
  wc = WordCloud(font_path=font_path,background_color="white",max_words=2000,mask=back_coloring,
                 max_font_size=100,random_state=42,width=1000, height=860, margin=2,)
  
  
  wc.generate(' '.join(jieba.cut(text)))
  
  # create coloring from image
  image_colors_default = ImageColorGenerator(back_coloring)
  
  plt.figure()
  # recolor wordcloud and show
  plt.imshow(wc, interpolation="bilinear")
  plt.axis("off")
  plt.show()
  
  # save wordcloud
  wc.to_file(path.join(d, imgname1))
  
  # create coloring from image
  image_colors_byImg = ImageColorGenerator(back_coloring)
  
  # show
  # we could also give color_func=image_colors directly in the constructor
  plt.imshow(wc.recolor(color_func=image_colors_byImg), interpolation="bilinear")
  plt.axis("off")
  plt.figure()
  plt.imshow(back_coloring, interpolation="bilinear")
  plt.axis("off")
  plt.show()
  
  # save wordcloud
  wc.to_file(path.join(d, imgname2))
  
new_contents: # - * - coding: utf - 8 -*-
  """
  create wordcloud with chinese
  =======================
  
  Wordcloud is a very good tools, but if you want to create
  Chinese wordcloud only wordcloud is not enough. The file
  shows how to use wordcloud with Chinese. First, you need a
  Chinese word segmentation library jieba, jieba is now the
  most elegant the most popular Chinese word segmentation tool in python.
  You can use 'PIP install jieba'. To install it. As you can see,
  at the same time using wordcloud with jieba very convenient
  """
  
  import jieba
  from os import path
  from scipy.misc import imread
  import matplotlib.pyplot as plt
  # jieba.load_userdict("txt\userdict.txt")
  # add userdict by load_userdict()
  from wordcloud import WordCloud, ImageColorGenerator,STOPWORDS
  
  d = path.dirname(__file__)
  
  stopwords_path = d + '/CNENstopwords.txt'
  # Chinese fonts must be set
  font_path = d + '/fonts/simkai.ttf'
  
  # the path to save worldcloud
  imgname1 = d + '/WordCloudDefautColors.png'
  imgname2 = d + '/WordCloudColorsByImg.png'
  # read the mask / color image taken from
  back_coloring = imread(path.join(d, d + '/DragonRaja.jpg'))
  
  # Read the whole text.
  text = open(path.join(d, d + '/DragonRaja.txt')).read()
  
  # if you want use wordCloud,you need it
  # add userdict by add_word()
  userdict_list = ['路明非']
  for word in userdict_list:
      jieba.add_word(word)
  
  f_stop = open(stopwords_path,encoding='utf8')
  try:
      f_stop_text = f_stop.read()
      f_stop_seg_list = f_stop_text.split('\n')
  finally:
      f_stop.close()
  
  stopwords = set(STOPWORDS)
  for stopword in f_stop_seg_list:
      stopwords.add(stopword)
  
  wc = WordCloud(font_path=font_path,background_color="white",max_words=2000,mask=back_coloring,
                 max_font_size=100,random_state=42,width=1000, height=860, margin=2,)
  
  
  wc.generate(' '.join(jieba.cut(text)))
  
  # create coloring from image
  image_colors_default = ImageColorGenerator(back_coloring)
  
  plt.figure()
  # recolor wordcloud and show
  plt.imshow(wc, interpolation="bilinear")
  plt.axis("off")
  plt.show()
  
  # save wordcloud
  wc.to_file(path.join(d, imgname1))
  
  # create coloring from image
  image_colors_byImg = ImageColorGenerator(back_coloring)
  
  # show
  # we could also give color_func=image_colors directly in the constructor
  plt.imshow(wc.recolor(color_func=image_colors_byImg), interpolation="bilinear")
  plt.axis("off")
  plt.figure()
  plt.imshow(back_coloring, interpolation="bilinear")
  plt.axis("off")
  plt.show()
  
  # save wordcloud
  wc.to_file(path.join(d, imgname2))
  
subject: change pathof fonts file