一、球赛结果预测代码部分函数测试。
二、用requests库函数访问搜狗网页20次。
1 import requests 2 from bs4 import BeautifulSoup 3 def getHTMLText(self): 4 try: 5 r=requests.get(url,timeout=30)#如果状态不是200,引发异常 6 r.raise_for_status() #无论原来用什么编码，都改成utf-8 7 r.encoding ='utf-8' 8 soup=BeautifulSoup(r.text) 9 return r.text,r.status_code,len(r.text),r.encoding,len(soup.text) 10 except: 11 return "" 12 url="https://www.sogou.com" 13 print(getHTMLText(url)) 14 for i in range(20): 15 print("第{}次访问".format(i+1)) 16 print(getHTMLText(url))
三、HTML按要求打印网页。
1 <!DOCTYPE html> 2 <html> 3 <head> 4 <meta charset="utf-8"> 5 <font size="10" color="purple"> 6 <title>我的第一个网页</title> 7 <xuehao>我的学号：2019310143143</xuehao> 8 </font> 9 </head> 10 <body> 11 <p style="background-color:rgb(255,0,255)"> 12 </p> 13 <font size="5" color="blue"> 14 <h1>欢迎来到你的三连我的心</h1> 15 <h2>好懒人就是我，我就是好懒人</h2> 16 <h3>此人很懒，无精彩内容可示</h3> 17 <h4>仅有鄙人陋见或许对你有用</h4> 18 <a href="https://home.cnblogs.com/u/LSH1628340121/">QAQ打开看看嘛QAQ</a> 19 <p id="first">我的观众老爷们，给个三连。</p> 20 </font> 21 <img src="F:荷花.jpg" alt="荷花" width="900" height="800"> 22 </body> 23 24 <table border="1"> 25 <tr> 26 27 <td>点赞, 收藏，关注</td> 28 </tr> 29 <tr> 30 <td>投币1, 投币2</td> 31 </tr> 32 </table> 33 </html>
四、爬取2016大学排名并存为CSV文件
1 import requests 2 from bs4 import BeautifulSoup 3 import csv 4 allUniv=[] 5 def getHTMLText (url): 6 try: 7 r = requests.get(url,timeout=30) 8 r.raise_for_status() 9 r.encoding = 'utf-8' 10 return r.text 11 except: 12 return "" 13 def fillUnivList (soup): 14 data = soup.find_all('tr') 15 for tr in data: 16 ltd = tr.find_all('td') 17 if len(ltd)==0: 18 continue 19 singleUniv=[] 20 for td in ltd: 21 singleUniv.append(td.string) 22 allUniv.append(singleUniv) 23 write_csv(allUniv) 24 def printUnivList (num): 25 print("{:^4}{:^10}{:^5}{:^8}{:^10}". format("排名", 26 "学校名称", "省市","总分","培养规模")) 27 for i in range (num): 28 u=allUniv[i] 29 print("{:^4}{:^10}{:^5}{:^8}{:^10}".format(u[0], 30 u[1],u[2],u[3],u[6])) 31 return u 32 def write_csv(list): 33 name = ['排名', '学校名称', '省份', '总分', '生源质量（新生高考成绩得分）', '培养结果（毕业生就业率）', '社会声誉（社会捐赠收入·千元）', '科研规模（论文数量·篇）', 34 '科研质量（论文质量·FWCI）', '顶尖成果（高被引论文·篇）', '顶尖人才（高被引学者·人）', '科技服务（企业科研经费·千元）', '成果转化（技术转让收入·千元）'] 35 with open('C:/Users/86188/Desktop/新建文件夹/最好大学排名.csv', 'w') as f: 36 writer = csv.writer(f) 37 writer.writerow(name) 38 for row in list: 39 writer.writerow(row) 40 def main (num) : 41 url = 'http://www.zuihaodaxue.cn/zuihaodaxuepaiming2016.html' 42 html = getHTMLText (url) 43 soup = BeautifulSoup(html, "html.parser") 44 fillUnivList(soup) 45 printUnivList(num) 46 print("排名情况如上所示") 47 main(310)
