jieba分词词云

import jieba
excludes = {"将军","却说","荆州","二人","不可","不能","如此"}
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 = "孔明"
    elif word == "关公" or word == "云长":
        rword = "关羽"
    elif word == "玄德" or word == "玄德曰":
        rword = "刘备"
    elif word == "孟德" or word == "丞相":
        rword = "曹操"
    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')