从表中刮取数据并将其存储在csv文件中

Question

我想废弃此网站上的数据，并以这种方式将其存储在csv文件中。

但是当我尝试废弃数据时，它并没有以精确的格式存储。所有数据都存储在第1列中。我不知道如何处理这个问题。

链接：https://pce.ac.in/students/bachelors-students/

代码：

import csv  # file operations
from bs4 import BeautifulSoup as soup  # lib for pulling data from html/xmlsites
from urllib.request import urlopen as uReq  # lib for sending and rec info over http
Url = 'https://pce.ac.in/students/bachelors-students/'
pageHtml = uReq(Url)
soup = soup(pageHtml,"html.parser") #parse the html
table = soup.find_all("table", { "class" : "tablepress tablepress-id-10 tablepress-responsive-phone" })
f = csv.writer(open('BEPillaiDepart.csv', 'w'))
f.writerow(['Choice Code', 'Course Name', 'Year of Establishment','Sanctioned Strength'])  # headers
for x in table:
    data=""
    table_body = x.find('tbody') #find tbody tag
    rows = table_body.find_all('tr') #find all tr tag
    for tr in rows:
        cols = tr.find_all('td') #find all td tags
        for td in cols:
            data=data+ "\n"+ td.text.strip()
            f.writerow([data])
#print(data)

Answer 1

如果您搜索csv的含义，您会发现它意味着以逗号分隔的值，但是在将文本附加到文件时，我看不到文本中的任何逗号。

Answer 2

在每个tr标签中创建变量数据，您可以这样尝试：

import csv  # file operations
from bs4 import BeautifulSoup as soup  # lib for pulling data from html/xmlsites
from urllib.request import urlopen as uReq  # lib for sending and rec info over http
Url = 'https://pce.ac.in/students/bachelors-students/'
pageHtml = uReq(Url)
soup = soup(pageHtml,"html.parser") #parse the html
table = soup.find_all("table", { "class" : "tablepress tablepress-id-10 tablepress-responsive-phone" })
with open('BEPillaiDepart.csv', 'w',newline='') as csvfile:
    f = csv.writer(csvfile)
    f.writerow(['Choice Code', 'Course Name', 'Year of Establishment','Sanctioned Strength'])  # headers
    for x in table:
        table_body = x.find('tbody') #find tbody tag
        rows = table_body.find_all('tr') #find all tr tag
        for tr in rows:
            data=[]
            cols = tr.find_all('td') #find all td tags
            for td in cols:
                data.append(td.text.strip()) 
            f.writerow(data)
            print(data)