# -*- coding: utf-8 -*-from os import pathfrom wordcloud import WordCloudd = path.dirname(__file__)# Read the whole text.text = open(path.join(d, 'hua.txt')).read()#frequencies = [(u'知乎',5),(u'小段同學',4),(u'曲小花',3),(u'中文分詞',2),(u'樣例',1)]# Generate a word cloud image 此處原為 text 方法，我們改用 frequencies wordcloud = WordCloud().generate(text)#wordcloud = WordCloud().fit_words(frequencies)# Display the generated image:# the matplotlib way:import matplotlib.pyplot as pltplt.imshow(wordcloud)plt.axis("off")# take relative word frequencies into account, lower max_font_sizewordcloud = WordCloud(max_font_size=40, relative_scaling=.5).generate(text)#wordcloud = WordCloud(max_font_size=40, relative_scaling=.5).fit_words(frequencies)plt.figure()plt.imshow(wordcloud)plt.axis("off")plt.show()# The pil way (if you don't have matplotlib)#image = wordcloud.to_image()#image.show()