（２）请用requests库的get()函数访问如下一个网站２０次，打印返回状态，text()内容，计算text()属性和content属性所返回网页内容的长度。（不同学号选做如下网页，必做及格）
import requests
url='https://www.bing.com'
for i in range(20):
r=requests.get(url)
print("第{}次访问".format(i+1))
print("状态：{}".format(r.status_code))
print("test长度：{}".format(len(r.text)))
print("content长度：{}".format(len(r.content)))
print(r.text)
（３）这是一个简单的html页面,请保持为字符串，完成后面的计算要求。（良好）
要求：
a 打印head标签内容和你的学号后两位
b 获取body标签的内容
c 获取id 为first的标签对象
d 获取并打印html页面中的中文字符
from bs4 import BeautifulSoup
import re
html = """
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<title>菜鸟教程(runoob.com)</title>
</head>
<body>
<h1>我的第一个标题</h1>
<p id="first">我的第一个段落。</p>
</body>
<table border="1">
<tr>
<td>row 1, cell 1</td>
<td>row 1, cell 2</td>
</tr>
<tr>
<td>row 2, cell 1</td>
<td>row 2, cell 2</td>
</tr>
</table>
</html>
"""
soup = BeautifulSoup(html, 'html')
print(soup.head.prettify())
print("学号: 20\n")
print(soup.body.prettify())
print(soup.find(id="first"))
print("\n")
s= re.compile(u'[\u4e00-\u9fff]+')
chinese=s.findall(html)
print(chinese)
(4) 爬中国大学排名网站内容
https://www.shanghairanking.cn/rankings/bcur/201811
要求：
（一）爬取大学排名(学号尾号9,0，爬取年费2019
（二）把爬取得数据，存为csv文件
import requests
from bs4 import BeautifulSoup
import bs4
def getHTMLText(url) :
try:
r = requests.get(url,timeout = 30)
r.raise_for_status()
r.encoding = r.apparent_encoding
return r.text
except:
print("获取失败")
return ''
def fillUnivlist(ulist,html):
soup = BeautifulSoup(html,"html.parser")
for tr in soup.find('tbody').children:
if isinstance(tr,bs4.element.Tag):
tds = tr('td')
ulist.append([tds[0].string,tds[1].string,tds[2].string,tds[3].string])
pass
def printUnivlist(ulist,num):
print("{:^4}\t{:<15}\t{:<8}\t{:<8}".format("排名","学校名称","省市","总分"))
for i in range(num):
u = ulist[i]
print("{:^4}\t{:<15}\t{:<8}\t{:<8}".format(u[0],u[1],u[2],u[3]))
def main(num):
allUniv=[]
url="https://www.shanghairanking.cn/rankings/bcur/201911.html"
html = getHTMLText(url)
fillUnivlist(allUniv,html)
printUnivlist(allUniv,num)
main(20)
import csv
with open('example.csv', 'w', newline='') as file:
writer = csv.writer(file)
writer.writerow(["排名","学校名称","省市","总分"])
writer.writerows(data.values())