Python调用高德地图web服务API实现地址与经纬度批量转换及地图可视化操作

程序员文章站 2022-06-04 16:29:55

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网上在线经纬度批量转换资源（准确度稍微有偏差）：

1、经纬度在线查询,地名(批量)查询经纬度,经纬度(批量)查询地名

2、经纬度查询，坐标拾取工具

Python调用高德地图web服务API实现地址与经纬度批量转换及地图可视化操作

高德API官方文档地址：

地理/逆地理编码：https://lbs.amap.com/api/webservice/guide/api/georegeo

坐标转换：http://lbs.amap.com/api/webservice/guide/api/convert

调用高德地图API前，需先申请高德地图key，https://lbs.amap.com/

申请高德地图key详细步骤：https://www.jianshu.com/p/9129a5f45c99

单条地址转经纬度：

#!/usr/bin/python
# -*- coding: UTF-8 -*-
"""
@author:ZSW
@file:long_lat.py
@time:2020/11/07
Python调用高德地图web服务API实现地理/逆地址编码
"""

import requests
import json


def geocode(address):
    params = {'address':address,
              'key':'你的高德**',
              # 'city':'上海市'
              }
    url = 'https://restapi.amap.com/v3/geocode/geo'
    res = requests.get(url, params)
    # 输出结果为json，将其转为字典格式
    result = json.loads(res.text)
    # 或者直接调用json的方法，返回python下的字典数据
    # result = res.json()
    # print(result)
    res = result['geocodes'][0]['location']
    return res


if __name__=='__main__':
    address = '上海市徐汇区'
    res = geocode(address)
    print(res)

利用高德地图api实现地址到经纬度的批量转换

#!/usr/bin/python
# -*- coding: UTF-8 -*-
"""
@author:ZSW
@file:batch_addr_longlat.py
@time:2020/11/09
利用高德地图api实现 地址 到 经纬度 的批量转换
"""

import requests
import pandas as pd
import json


# 读取csv文件中 organization 的列，并添加在列表中，示例['地址1','地址2',……,'地址n']
def parse_csv_addr():
    datas = []
    totalListData = pd.read_csv('test.csv')
    totalListDict = totalListData.to_dict('index')
    for i in range(0,len(totalListDict)):
        datas.append(str(totalListDict[i]['organization']))
    return datas


# 地址转经纬度 选用的是地理编码的接口
def geocode(address):
    params = {
        'address': address,
        'key': '你的高德**',
        'city': '上海市'
    }
    url = 'https://restapi.amap.com/v3/geocode/geo'
    data = requests.get(url, params)
    result = data.json()
    res = result['geocodes'][0]['location']
    print(res)
    return res


if __name__ == '__main__':
    i = 0
    count = 0
    df = pd.DataFrame(columns=['long_lat'])
    locations = parse_csv_addr()
    for location in locations:
        long_lat = geocode(location)
        df.loc[i] = [long_lat]
        i = i + 1
    df.to_csv('locdetail1.csv', index=False, encoding='utf-8')

利用高德地图api实现经纬度到地址的批量转换

#!/usr/bin/python
# -*- coding: UTF-8 -*-
"""
@author:ZSW
@file:batch_longlat_addr.py
@time:2020/11/09
利用高德地图api实现 经纬度 到 地址 的批量转换
"""

import requests
import pandas as pd

# 读取csv文件，将列longitude 和列latitude 进行拼接 并添加在列表中 示例['123.57293,32.287868',……]
def parse_csv_longlat():
    datas = []
    totalListData = pd.read_csv('test.csv')
    totalListDict = totalListData.to_dict('index')
    for i in range(0, len(totalListDict)):
        datas.append(str(totalListDict[i]['longitude']) + ',' + str(totalListDict[i]['latitude']))
    return datas


# 为了使用高德服务，用户需要将非高德坐标转换为高德坐标。
# 将用户输入的非高德坐标（GPS坐标、mapbar坐标、baidu坐标）转换成高德坐标
def transform(location):
    params = {'coordsys': 'gps', 'locations': location, 'key': '你的高德**'}
    url = 'http://restapi.amap.com/v3/assistant/coordinate/convert'
    result = requests.get(url, params)
    res = result.json()
    return res['locations']


# 纬度转换为地址，选用的是逆地理编码的接口
def regeocode(location):
    params = {'location': location, 'key': '你的高德**'}
    url = 'http://restapi.amap.com/v3/geocode/regeo'
    result = requests.get(url, params)
    res = result.json()
    return res['regeocode']['addressComponent']['district'], res['regeocode'][
        'formatted_address']


if __name__ == '__main__':
    i = 0
    count = 0
    df = pd.DataFrame(columns=['location', 'detail'])
    locations = parse_csv_longlat()
    for location in locations:
        dist, detail = regeocode(transform(location))
        df.loc[i] = [dist, detail]
        i = i + 1
    df.to_csv('locdetail.csv', index=False, encoding='utf-8')