自己设计大学排名

（一）打开我们存为csv文件的数据：

 

（二）运用上次的sqlite学习的知识，把上述csv文件的数据都写进数据库中。

 1 import csv
 2 import sqlite3
 3 import csv
 4 import sqlite3
 5 def writedate(roadpath):
 6     csv_file = csv.reader(open("E:\Spyder\2019中国最好大学排名.csv", "r"))
 7     lst_all = []
 8     for i in csv_file:
 9         lst_all.append(i)
10     con = sqlite3.connect("10张颖慧.db")
11     cur = con.cursor()
12     cur.execute("create table ad(a,b,c,d,e,f,g,h,i,j,k,l,m,n)")                   #创建一个表
13     for j in range(len(lst_all)):
14         cur.execute("insert into ad values(?,?,?,?,?,?,?,?,?,?,?,?,?,?)", (lst_all[j][0], lst_all[j][1], lst_all[j][2], lst_all[j][3], lst_all[j][4], lst_all[j][5], lst_all[j][6], lst_all[j][7], lst_all[j][8], lst_all[j][9], lst_all[j][10], lst_all[j][11], lst_all[j][12], lst_all[j][13]))
15         cur.execute("select * from ad ")
16 #显示写进数据库中的所有内容
17     #print(cur.fetchall())
18     con.commit()
19     con.close()
20 def destroyTable(dbName):
21          # 连接数据库
22     connect = sqlite3.connect(dbName)
23          # 删除表
24     connect.execute("DROP TABLE {}".format("ad"))
25          # 提交事务
26     connect.commit()
27          # 断开连接
28     connect.close()
29 def searchData(roadpath):
30     con = sqlite3.connect("10张颖慧.db")
31     cur = con.cursor()
32     cur.execute("select * from ad where b= '广东技术师范大学'")
33     print(cur.fetchall())
34     con.commit()
35     con.close()
36 def main():
37     writedate("E:\Spyder\2019中国最好大学排名.csv")
38     searchData("E:\Spyder\2019中国最好大学排名.csv")
39     destroyTable("10张颖慧.db")
40 main()

 

（三）查询并显示广东省学校的排名和科技服务得分

 1 import requests
 2 from bs4 import BeautifulSoup
 3 allUniv=[]
 4 def getHTMLText(url):
 5     try:
 6         r=requests.get(url,timeout=30)
 7         r.raise_for_status()
 8         r.encoding = 'utf-8'
 9         return r.text
10     except:
11         return ""
12 def fillUnivList(soup):
13     data = soup.find_all('tr')
14     for tr in data:
15         ltd = tr.find_all('td')
16         if len(ltd)==0:
17             continue
18         singleUniv = []
19         for td in ltd:
20             singleUniv.append(td.string)
21         allUniv.append(singleUniv)
22 def printUnivList(num):
23     a="广东"
24     print("{1:^2}{2:{0}^10}{3:{0}^6}{4:{0}^4}{5:{0}^10}".format(chr(12288),"排名","学校名称","省市","总分","科技服务"))
25     for i in range(num):
26         u=allUniv[i]
27         #print(u[1])
28         if a in u:
29             print("{1:^2}{2:{0}^10}{3:{0}^6}{4:{0}^8.1f}{5:{0}^10}".format(chr(12288),i+1,u[1],u[2],eval(u[3]),u[7]))
30 def main():
31     url='http://www.zuihaodaxue.cn/zuihaodaxuepaiming2019.html'
32     html = getHTMLText(url)
33     soup = BeautifulSoup(html,"html.parser")
34     fillUnivList(soup)
35     num=len(allUniv)
36     printUnivList(num)
37 main()

 

 （四）广东省学校排名和得分

 1 import csv
 2 import os
 3 import requests
 4 import pandas
 5 from bs4 import BeautifulSoup
 6 allUniv = []
 7 def getHTMLText(url):
 8     try:
 9         r = requests.get(url, timeout=30)
10         r.raise_for_status()
11         r.encoding = 'utf-8'
12         return r.text
13     except:
14         return ""
15 def fillUnivList(soup):
16     data = soup.find_all('tr')
17     for tr in data:
18         ltd = tr.find_all('td')
19         if len(ltd)==0:
20             continue
21         singleUniv = []
22         for td in ltd:
23             singleUniv.append(td.string)
24         allUniv.append(singleUniv)
25 def findUnivData(num):
26     a="广东"
27     print("{0:^10}\t{1:{3}^10}\t{2:^10}".format("排名","学校名称","总分",chr(12288)))
28     for i in range(num):
29         u=allUniv[i]
30         if a in u:
31             print("{0:^10}\t{1:{3}^10}\t{2:^10}".format(u[0],u[1],eval(u[4]),chr(12288)))
32 def main():
33     url = 'http://www.zuihaodaxue.com/zuihaodaxuepaiming2019.html'
34     html = getHTMLText(url)
35     soup = BeautifulSoup(html, "html.parser")
36     fillUnivList(soup)
37     num=len(allUniv)
38     findUnivData(num)
39 main()