import jieba excludes = { " General " , " say " , " Jingzhou " , " two " , " not " , " can " , " case " } txt = open("sg.txt", "r", encoding='utf-8').read() words = jieba.lcut(txt) counts = {} for word in words: if len(word) == 1: continue if word == "诸葛亮" or word == "孔明曰": rword = " Kong Ming " elif word == " Guan Gong " or word == " Yun Chang " : rword = " Guan Yu " elif Word == " Supreme " or Word == " Xuande said " : rword = " Liu Bei " elif Word == " Mendelssohn " or Word == " prime minister " : rword = " Cao Cao " else : rword = word counts[rword] = counts.get(rword,0) + 1 for word in excludes: del(counts[word]) items = list(counts.items()) items.sort(key=lambda x:x[1], reverse=True) for i in range(5): word, count = items[i] print ("{0:<10}{1:>5}".format(word, count)) from wordcloud import WordCloud import matplotlib.pyplot as plt import numpy as np from PIL import Image def create_word_cloud(filename): text = open("{}.txt".format(filename)).read() wordlist = jieba.cut(text, cut_all=True) wl = " ".join(wordlist) cloud_mask = np.array(Image.open("bg.png")) wc = WordCloud( background_color="black", mask=cloud_mask, max_words=2000, font_path='simsun.ttf', height=1200, width=1600, max_font_size=100, random_state=100, ) myword = wc.generate(wl) plt.imshow (myword) plt.axis("off") plt.show() wc.to_file('py_book.png') if __name__ == '__main__': create_word_cloud('sg')