Save the crawling down the rankings:
# -*- coding: utf-8 -*- """ Created on Wed May 29 11:23:44 2019 @author: history """ import requests import pandas 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 "" 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 printUnivList(num): print("{:^4}{:^10}{:^5}{:^8}{:^10}".format("排名","学校名称","省市","总分","培养规模")) for i in range(num): u=allUniv[i] print("{:^4}{:^10}{:^5}{:^8}{:^10}".format(u[0],u[1],u[2],u[3],u[6])) def main(): url = 'http://www.zuihaodaxue.cn/zuihaodaxuepaiming2016.html' html = getHTMLText(url) soup = BeautifulSoup(html, "html.parser") fillUnivList(soup) printUnivList(10) saveAsCsv("D:/Python文件/工作簿1.xlsx", data) main()
将爬取得到的进行修改：
# -*- coding: utf-8 -*- """ Created on Wed May 29 11:30:32 2019 @author: history """ import sqlite3 from pandas import DataFrame import re class SQL_method: ''' function: 可以实现对数据库的基本操作 ''' def __init__(self, dbName, tableName, data, columns, COLUMNS, Read_All=True): ''' function: 初始化参数 dbName: 数据库文件名 tableName: 数据库中表的名称 data: 从csv文件中读取且经过处理的数据 columns: 用于创建数据库，为表的第一行 COLUMNS: 用于数据的格式化输出，为输出的表头 Read_All: 创建表之后是否读取出所有数据 ''' self.dbName = dbName self.tableName = tableName self.data = data self.columns = columns self.COLUMNS = COLUMNS self.Read_All = Read_All def creatTable(self): connect = sqlite3.connect(self.dbName) connect.execute("CREATE TABLE {}({})".format(self.tableName, self.columns)) connect.commit() connect.close() def destroyTable(self): connect = sqlite3.connect(self.dbName) connect.execute("DROP TABLE {}".format(self.tableName)) connect.commit() connect.close() def insertDataS(self): connect = sqlite3.connect(self.dbName) connect.executemany("INSERT INTO {} VALUES(?,?,?,?,?,?,?,?,?,?,?,?,?)".format(self.tableName), self.data) connect.commit() connect.close() def getAllData(self): connect = sqlite3.connect(self.dbName) cursor = connect.cursor() cursor.execute("SELECT * FROM {}".format(self.tableName)) dataList = cursor.fetchall() connect.close() return dataList def searchData(self, conditions, IfPrint=True): connect = sqlite3.connect(self.dbName) cursor = connect.cursor() cursor.execute("SELECT * FROM {} WHERE {}".format(self.tableName, conditions)) data = cursor.fetchall() cursor.close() connect.close() if IfPrint: self.printData(data) return data def deleteData(self, conditions): connect = sqlite3.connect(self.dbName) connect.execute("DELETE FROM {} WHERE {}".format(self.tableName, conditions)) connect.commit() connect.close() def printData(self, data): print("{1:{0}^3}{2:{0}<11}{3:{0}<4}{4:{0}<4}{5:{0}<5}{6:{0}<5}{7:{0}^5}{8:{0}^5}{9:{0}^5}{10:{0}^5}{11:{0}^5}{12:{0}^6}{13:{0}^5}".format(chr(12288), *self.COLUMNS)) for i in range(len(data)): print("{1:{0}<4.0f}{2:{0}<10}{3:{0}<5}{4:{0}<6}{5:{0}<7}{6:{0}<8}{7:{0}<7.0f}{8:{0}<8}{9:{0}<7.0f}{10:{0}<6.0f}{11:{0}<9.0f}{12:{0}<6.0f}{13:{0}<6.0f}".format(chr(12288), *data[i])) def run(self): try: self.creatTable() print(">>> 数据库创建成功") self.insertDataS() print(">>> 表创建、数据插入成功！") except: print(">>> 数据库已创建！") if self.Read_All: self.printData(self.getAllData()) def get_data(fileName): data = [] f = open(fileName, 'r', encoding='utf-8') for line in f.readlines(): line = line.replace('\n', '') line = line.replace('%','') line = line.split(',') for i in range(len(line)): try: if line[i] == '': line[i] = '0' line[i] = eval(line[i]) except: continue data.append(tuple(line)) EN_columns = "Rank real, University text, Province text, Grade real, SourseQuality real, TrainingResult real, ResearchScale real, \ ReserchQuality real, TopResult real, TopTalent real, TechnologyService real, Cooperation real, TransformationResults real" CH_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"] return data[1:], EN_columns, CH_columns if __name__ == "__main__": fileName = "D:/Python文件/工作簿1.xlsx.csv" data, EN_columns, CH_columns = get_data(fileName) dbName = "university.db" tableName = "university" SQL = SQL_method(dbName, tableName, data, EN_columns, CH_columns, False) SQL.run() print(">>> 查找数据项（University = '广东工业大学'） :") SQL.searchData("University = '广东工业大学'", True) print("\n>>> 筛选数据项并按照科研规模排序（Province = '广东省'） :") SQL.searchData("Province = '广东省' ORDER BY ResearchScale", True) Weight = [0.3, 0.15, 0.1, 0.1, 0.1, 0.1, 0.05, 0.05, 0.05] value, sum = [], 0 sample = SQL.searchData("Province = '广东省'", False) for i in range(len(sample)): for j in range(len(Weight)): sum += sample[i][4+j] * Weight[j] value.append(sum) sum = 0 university = [university[1] for university in sample] uv, tmp = [], [] for i in range(len(university)): tmp.append(university[i]) tmp.append(value[i]) uv.append(tmp) tmp = [] df = DataFrame(uv, columns=list(("大学", "总分"))) df = df.sort_values('总分') df.index = [i for i in range(1, len(uv)+1)] print("\n>>> 筛选【广东省】的大学并通过权值运算后重排名的结果：\n", df) SQL.deleteData("Province = '北京市'") SQL.deleteData("Province = '广东省'") SQL.deleteData("Province = '山东省'") SQL.deleteData("Province = '山西省'") SQL.deleteData("Province = '江西省'") SQL.deleteData("Province = '河南省'") print("\n>>> 数据删除成功！") SQL.printData(SQL.getAllData()) SQL.destroyTable() print(">>> 表删除成功！")
