【Python】【Matplotlib】词云图

关于从网页获取文本

import requests
from bs4 import BeautifulSoup
code = requests.request("post","url").content.decode("utf-8")

soup = BeautifulSoup(code, "lxml")
text = soup.findAll("div",attrs={"class":"RichText"})[0].text
text = str(text).replace("\u3000"," ")
text

关于绘制词云图

import jieba
from wordcloud import WordCloud
import matplotlib.pyplot as plt
plt.rcParams['font.sans-serif']=['SimHei'] #用来正常显示中文标签
plt.rcParams['axes.unicode_minus']=False  # 正常显示负号
# 分词
words = ' '.join(jieba.cut(text))

# 创建词云
wordcloud = WordCloud(font_path="AlimamaFangYuanTiVF-Thin.ttf",width=1000,height=700,background_color="pink").generate(words)

# 显示词云
plt.imshow(wordcloud, interpolation='bilinear')
plt.axis('off')
plt.show()

AlimamaFangYuanTiVF-Thin.ttf是字体文件，和该代码文件是放在同一目录的。你可以选择自己喜欢的字体。