Use of pandas in read_html get the page table

# Use of pandas in read_html get the page table 
Import pandas AS pd 
Import Requests 
# crawling URLs 
headers = { 
            "the User-Agent": "Mozilla / 5.0 (Windows NT 10.0; WOW64) AppleWebKit / 537.36 (KHTML, like Gecko) Chrome / Safari 67.0.3396.99 / 537.36 ", 
            'Connection':" use Close ", 
        } 
url = 'HTTP:? = 001 & Industry //guj.315i.com/assess/detial classId = 001002' 
Page = requests.get (url = url, = headers headers) .text 
# table to find the desired crawling [0] represents a table taking the first 
TB = pd.read_html (Page) [0] 
# saved as a csv file, or the like txt 
tb.to_csv ( 'aaa.txt ', MODE =' W ', encoding =' UTF-. 8 ', header = 0, index = 0) 

with Open (' aaa.txt ',' R & lt ', encoding =' UTF-. 8 ') AS F: 
    lis_new = f.   readlines () # will return a list of 
print (lis_new)