流调溯源 腾讯接口实现批量地址转换

# -*- coding:utf-8 -*-
# author:ck_233 time:2020/3/16
import time
import requests
import pandas as pd
from pandas import DataFrame

developer_key = '6M2BZ-5SOWU-ZF6VH-22KK6-OCT65-62BJU' # 这里为你申请的开发者key

# 通过地址获取经纬度
def address_to_coordinate(address):
    base = "http://apis.map.qq.com/ws/geocoder/v1/?address={}&key={}".format(address, developer_key)  # 地址解析，地址转坐标
    response = requests.get(base)
    answer = response.json()
    if(answer['status'] == 0):
       data = {
            'lng':answer['result']['location']["lng"], # 经度
            'lat':answer['result']['location']["lat"]  # 纬度
        }
    else:
       data = {
            'lng':'error', 
            'lat':'error'  
        }
    print(data)
    return data

# 通过经纬度获取地址
def coordinate_to_address(lat_lng): # 注意入参格式：纬度，经度
    base = "https://apis.map.qq.com/ws/geocoder/v1/?location={}&get_poi={}&key={}".format(lat_lng, 1, developer_key) # 坐标转地址
    response = requests.get(base)
    answer = response.json()
    # print(answer)
    if(answer['status'] == 0):
       data = answer['result']['address']
    else:
       data = 'error'
    print(data)
    return data

# 入参excel文件名，表名
def readExcel(filename, sheetname):
    data = pd.read_excel(filename, sheetname)
    # print(data)
    # 通过地址获取经纬度，并修改
    for index in range(0,len(data)):
        # 开发者并发有限制，根据情况来设置
        time.sleep(0.2)
        print(data.loc[index, '地址'])
        address = data.loc[index, '地址']
        lng_lat = address_to_coordinate(address)
        data.loc[index, '经度'] = lng_lat['lng']
        data.loc[index, '纬度'] = lng_lat['lat']
    # print(data)
    # 保存修改
    DataFrame(data).to_excel(filename, sheet_name=sheetname, index=False, header=True)

if __name__ == '__main__':
     address_to_coordinate("武汉市青山区和平大道809号")
     coordinate_to_address("30.617353,114.360809")
    #readExcel('xxxx.xlsx', 'Sheet1')