个人作业1

今天对疫情数据进行了爬取

#-*- 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))