中国大学排名

1 # -*- coding: utf-8 -*-
 2 '''
 3 获取中国大学的排名
 4 @author: bpf
 5 '''
 6 import requests
 7 from bs4 import BeautifulSoup
 8 import pandas
 9 # 1. 获取网页内容
10 def getHTMLText(url):
11     try:
12         r = requests.get(url, timeout = 30)
13         r.raise_for_status()
14         r.encoding = 'utf-8'
15         return r.text
16     except Exception as e:
17         print("Error:", e)
18         return ""
19 
20 # 2. 分析网页内容并提取有用数据
21 def fillTabelList(soup): # 获取表格的数据
22     tabel_list = []      # 存储整个表格数据
23     Tr = soup.find_all('tr')
24     for tr in Tr:
25         Td = tr.find_all('td')
26         if len(Td) == 0:
27             continue
28         tr_list = [] # 存储一行的数据
29         for td in Td:
30             tr_list.append(td.string)
31         tabel_list.append(tr_list)
32     return tabel_list
33 
34 # 3. 可视化展示数据
35 def PrintTableList(tabel_list, num):
36     # 输出前num行数据
37     print("{1:^2}{2:{0}^10}{3:{0}^5}{4:{0}^5}{5:{0}^8}".format(chr(12288), "排名", "学校名称", "省市", "总分", "生涯质量"))
38     for i in range(num):
39         text = tabel_list[i]
40         print("{1:{0}^2}{2:{0}^10}{3:{0}^5}{4:{0}^8}{5:{0}^10}".format(chr(12288), *text))
41 
42 # 4. 将数据存储为csv文件
43 def saveAsCsv(filename, tabel_list):
44     FormData = pandas.DataFrame(tabel_list)
45     FormData.columns = ["排名", "学校名称", "省市", "总分", "生涯质量", "培养结果", "科研规模", "科研质量", "顶尖成果", "顶尖人才", "科技服务", "产学研合作", "成果转化"]
46     FormData.to_csv(filename, encoding='utf-8', index=False)
47 
48 if __name__ == "__main__":
49     url = "http://www.zuihaodaxue.cn/zuihaodaxuepaiming2016.html"
50     html = getHTMLText(url)
51     soup = BeautifulSoup(html, features="html.parser")
52     data = fillTabelList(soup)
53     #print(data)
54     PrintTableList(data, 10)   # 输出前10行数据
55     saveAsCsv("D:\\University_Rank.csv", data)

 运行结果：