1、操做數據庫(以SQLite3爲例) html
SQLite3 可以使用 sqlite3 模塊與 Python 進行集成。它提供了一個與 PEP 249 描述的 DB-API 2.0 規範兼容的 SQL 接口。咱們不須要單獨安裝該模塊,由於 Python 2.5.x 以上版本默認自帶了該模塊。 爲了使用 sqlite3 模塊,首先必須建立一個表示數據庫的鏈接對象,而後能夠有選擇地建立光標對象,這將幫助執行全部 的 SQL 語句。python
二.本身設計大學排名-數據庫實踐sql
代碼以下:數據庫
# -*- coding: utf-8 -*- """ Created on Wed May 29 23:13:27 2019 @author: @foldline """ import requests import csv import os from bs4 import BeautifulSoup alluniv = [] def getHTMLText(url): try: r = requests.get(url,timeout = 30) r.raise_for_status() r.encoding = 'utf-8' return r.text except: return "error" def fillunivlist(soup): data=soup.find_all('tr') for tr in data: ltd =tr.find_all('td') if len(ltd)==0: continue singleuniv=[] for td in ltd: singleuniv.append(td.string) alluniv.append(singleuniv) def writercsv(save_road,num,title): if os.path.isfile(save_road): with open(save_road,'a',newline='')as f: csv_write=csv.writer(f,dialect='excel') for i in range(num): u=alluniv[i] csv_write.writerow(u) else: with open('rank.csv','w',newline='')as f: csv_write=csv.writer(f,dialect='excel') csv_write.writerow(title) for i in range(num): u=alluniv[i] csv_write.writerow(u) title=["排名","學校名稱","省市","總分","生源質量","培養結果","科研規模","科研質量","頂尖成果","頂尖人才","科技服務","產學研究合做","成果轉化"] save_road="D:\Anaconda\rank.csv" def main(num): url = "http://www.zuihaodaxue.cn/zuihaodaxuepaiming2019.html" html=getHTMLText(url) soup=BeautifulSoup(html,"html.parser") fillunivlist(soup) writercsv(save_road,10,title) main(10)
結果以下:app