利用pandas 中的read_html 获取页面表格

#利用pandas 中的read_html   获取页面表格
import pandas as pd
import requests
# 爬取网址
headers = {
            "User-Agent": "Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/67.0.3396.99 Safari/537.36",
            'Connection': "close",
        }
url ='http://guj.315i.com/assess/detial?industry=001&classId=001002'
page = requests.get(url=url, headers=headers).text
# 找到所需爬取的表格  [0]代表取第一个表格
tb = pd.read_html(page)[0]
#保存为csv或txt 等文件
tb.to_csv('aaa.txt', mode='w', encoding='utf-8', header=0, index=0)

with open ('aaa.txt','r',encoding='utf-8') as f:
    lis_new=f.readlines()   #返会的是列表   
print(lis_new)