用python爬取疫情数据
日期 | 开始时间 | 结束时间 | 中断时间 | 净时间 | 活动 | 活动详解 |
3.10 | 3:40 | 5:30 | 30 | 70 | 查看爬取数据的资料 | 查看python |
3.10 | 7:00 | 8:30 | 0 | 90 | 安装软件 | 学习python的基础知识 |
3.11 | 10:00 | 11:10 | 20 | 50 | 学习python爬取数据 | |
3.11 | 2:30 | 5:00 | 25 | 125 | 编写代码 | 连数据库,爬取数据 |
3.12 | 2:30 | 4:00 | 20 | 70 | 改代码 |
爬取数据:
python代码:
#-*- coding=utf-8 -*- import pymysql import re import json from pip._vendor import requests def create(): # 连接数据库 db = pymysql.connect("localhost", "root", "123", "payiqing",charset='utf8') cursor = db.cursor() cursor.execute("DROP TABLE IF EXISTS info") sql = """CREATE TABLE info( Id INT PRIMARY KEY AUTO_INCREMENT, Date varCHAR(255), Province varchar(255), City varchar(255), Confirmed_num varchar(255), Yisi_num varchar(255), Cured_num varchar(255), Dead_num varchar(255), Code varchar(255))""" #创建数据库变量 cursor.execute(sql) db.close() def insert(value): db = pymysql.connect("localhost", "root", "123", "payiqing",charset='utf8') cursor = db.cursor() sql = "INSERT INTO info(Date,Province,City,Confirmed_num,Yisi_num,Cured_num,Dead_num,Code) VALUES ( %s,%s,%s,%s,%s,%s,%s,%s)" try: cursor.execute(sql, value) db.commit() print('插入数据成功') except: db.rollback() print("插入数据失败") db.close() # 创建表 create() # 创建表 url='https://raw.githubusercontent.com/BlankerL/DXY-2019-nCoV-Data/master/json/DXYArea.json' response = requests.get(url) # 将响应信息进行json格式化 versionInfo = response.text # print(versionInfo)#打印爬取到的数据 # print("------------------------")#重要数据分割线↓ #一个从文件加载,一个从内存加载#json.load(filename)#json.loads(string) jsonData = json.loads(versionInfo) #用于存储数据的集合 dataSource = [] provinceShortNameList = [] confirmedCountList = [] curedCount = [] deadCountList = [] #遍历对应的数据存入集合中 for k in range(len(jsonData['results'])): if(jsonData['results'][k]['countryName'] == '中国'): provinceShortName = jsonData['results'][k]['provinceName'] if("待明确地区" == provinceShortName): continue; for i in range(len(jsonData['results'][k]['cities'])): confirmnum=jsonData['results'][k]['cities'][i]['confirmedCount'] yisi_num=jsonData['results'][k]['cities'][i]['suspectedCount'] cured_num=jsonData['results'][k]['cities'][i]['curedCount'] dead_num=jsonData['results'][k]['cities'][i]['deadCount'] code=jsonData['results'][k]['cities'][i]['locationId'] cityname=jsonData['results'][k]['cities'][i]['cityName'] date='2020-3-10' insert((date,provinceShortName,cityname,confirmnum,yisi_num,cured_num,dead_num,code))