from pyquery import PyQuery as pq
import matplotlib as plt
from wordcloud import wordcloud
from PIL import Image
import numpy as np
import jieba

with open(“1.txt”, “r”) as fp:
strsuddle = fp.read().encode(“utf-8”) #读取内容
cut_text = jieba.cut(strsuddle.decode(“utf8”))#使用分词工具进行分词
allword= ’ '.join(cut_text)
wordpic = wordcloud.WordCloud(
background_color=‘white’, # 背景颜色
width=1000,
height=600,
stopwords=[“的”,“第一节”,“第二节”,“第三节”,“第四节”,“第一章”,“第二章”,“第三章”,“等”,“为”,“大”,“新”,“及”,“最”,“区”,“将”],#所要忽略的词
font_path=“msyh.ttf”, #文字库 避免家在出来出现乱码
max_font_size=50, # 字体大小
min_font_size=10,
max_words=1000)

wordpic.generate(allword)
image = wordpic.to_image()#绘图
image.show() # 显示词云