python获取全国最新省市区数据并存入表实例代码

时间:2022-06-04 03:02:22

本文通过调取高德行政区划查询接口,获取最新的数据信息(省、市、区、经纬度、行政级别、城市编码、行政编码等),并通过mysql.connector存入mysql数据库

表结构设计如下:

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create table `districts` (
  `districtid` int(11) not null auto_increment,
  `districtpid` int(11) default null comment '上级id',
  `name` varchar(32) default null comment '行政区名称',
  `citycode` varchar(6) default null comment '城市编码',
  `adcode` varchar(6) default null comment '城市区域编码',
  `lng` float(13,10) default null comment '经度',
  `lat` float(13,10) default null comment '纬度',
  `level` varchar(10) default null comment '行政区划级别',
  `createtime` timestamp null default current_timestamp,
  `updatetime` timestamp null default null on update current_timestamp,
  primary key (`districtid`)
) engine=innodb auto_increment=1 default charset=utf8mb4

python代码如下:(需替换成自己的数据库地址帐号密码、及换入自己的高德key值)

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# coding = utf-8
"""
@autor: linuxdba
"""
import json
import mysql.connector
import requests
 
header = {
    'user-agent': 'mozilla/5.0 (linux; android 6.0; nexus 5 build/mra58n) applewebkit/537.36 (khtml, like gecko) chrome/92.0.4515.107 mobile safari/537.36'
}
 
mydb = mysql.connector.connect(host='ip.....', user='username.....', password='pwd.....', port=3306,
                               database='test')
mycursor = mydb.cursor()
 
insert_sql = "insert into `districts` ( `districtpid`,`name`, `adcode`, `lng`, `lat`, `level`) values (%s,%s, %s, %s, %s, %s);"
insert_city_sql = "insert into `districts` ( `districtpid`,`name`, `citycode`,`adcode`, `lng`, `lat`, `level`) values (%s, %s, %s, %s, %s, %s, %s);"
 
select_sql = 'select districtid from districts where adcode = %s'
 
 
def updatedb(sql, *args):
    try:
        mycursor.execute(sql, args)
        mydb.commit()
    except exception as e:
        print(e)
 
 
def selectdb(sql, *args):
    mycursor.execute(sql, args)
    return mycursor
 
 
updatedb(insert_sql, 0, '*', '100000', '116.3683244', '39.915085', 'country')
provinces = ['北京市', '天津市', '河北省', '山西省', '内蒙古自治区', '辽宁省', '吉林省', '黑龙江省', '上海市', '江苏省', '浙江省', '安徽省', '福建省', '江西省',
             '山东省', '河南省', '湖北省', '湖南省', '广东省', '广西壮族自治区', '海南省', '重庆市', '四川省', '贵州省', '云南省', '*自治区', '陕西省', '甘肃省',
             '青海省', '宁夏回族自治区', '**自治区', '*省', '香港特别行政区', '澳门特别行政区']
for i in provinces:
    code_url = 'https://restapi.amap.com/v3/config/district?key=d6efa016ea883e15a0782f939d6a805e&keywords={}&subdistrict=2'.format(
        i)
    res = requests.get(code_url, headers=header)
    print(code_url)
    print(res.text)
    province = json.loads(res.text)['districts']
    adcode = province[0]['adcode']
    pname = province[0]['name']
    center = province[0]['center']
    pcitycode = province[0]['citycode']
    level = province[0]['level']
    lng = province[0]['center'].split(',')[0]
    lat = province[0]['center'].split(',')[1]
    city_list = province[0]['districts']
 
    # print(pname, pcitycode, adcode, lng, lat, level)
    updatedb(insert_sql, 1, pname, adcode, lng, lat, level)
    districtpid = selectdb(select_sql, adcode).fetchone()[0]
    # print(city_list)
    for city in city_list:
        citycode = city['citycode']
        adcode = city['adcode']
        name = city['name']
        level = city['level']
        lng = city['center'].split(',')[0]
        lat = city['center'].split(',')[1]
        district_list = city['districts']
        # print(name, citycode, adcode, lng, lat, level)
        updatedb(insert_city_sql, districtpid, name, citycode, adcode, lng, lat, level)
        citypid = selectdb(select_sql, adcode).fetchone()[0]
        for district in district_list:
            citycode = district['citycode']
            adcode = district['adcode']
            name = district['name']
            level = district['level']
            lng = district['center'].split(',')[0]
            lat = district['center'].split(',')[1]
            district_list = district['districts']
            if level in ['district']:
                updatedb(insert_city_sql, citypid, name, citycode, adcode, lng, lat, level)
            print(name, citycode, adcode, lng, lat, level)

结果如下:

python获取全国最新省市区数据并存入表实例代码

表数据文件链接:

http://linuxdba.ltd/files/districts.sql

总结

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原文链接:https://blog.csdn.net/liuy5277/article/details/119522843