# coding:utf-8
from urllib.request import quote
import requests
import pandas as pd
pd.set_option('display.width', 1000)
pd.set_option('display.max_columns', None)
import json
# 通过百度地图地理查询和逆地址查询
def get_location(address):
try:
url = 'http://api.map.baidu.com/place/v2/search?query={}®ion=标注范围&output=json&ak=你的ak&scope=2'.format(quote(address))
response = requests.get(url)
result = response.json()
if result['status'] == 0 and result['results']:
lng = result['results'][0]['location']['lng']
lat = result['results'][0]['location']['lat']
return lng, lat
except Exception as e:
print(f"Failed to get location for {address}: {e}")
return '', ''
def get_address(lng, lat):
try:
url = 'http://api.map.baidu.com/reverse_geocoding/v3/?'
output = 'json'
ak = 'BXottO3XSK3SKXn99fHquBoPo620cExI'
uri = url + '&output=' + output + '&ak=' + ak + '&location=' + str(lat) + ',' + str(lng)
response = requests.get(uri)
answer = response.json()
if answer['status'] == 0:
address = answer['result']['formatted_address']
return address
except Exception as e:
print(f"Failed to get address for coordinates ({lng}, {lat}): {e}")
return 'Nan'
# 导入Excel文件
df = pd.read_excel('getAdress.xlsx')
# 新增两列用于存储查询结果
df['经度'] = ''
df['纬度'] = ''
df['详细地址'] = ''
print('选择通过百度地图查询经纬度(输入1)或查询地址(输入2):')
i = int(input())
if i == 1:
# 批量查询经纬度
for index, row in df.iterrows():
if pd.isna(row['地址']):
continue
lng, lat = get_location(row['地址'])
df.at[index, '经度'] = lng
df.at[index, '纬度'] = lat
# 保存结果到新的xlsx文件
df[['经度', '纬度']].to_excel('经纬度.xlsx', index=False)
print('经纬度查询结果已保存到经纬度.xlsx')
elif i == 2:
# 加载保存了经纬度的xlsx文件
df_lnglat = pd.read_excel('经纬度.xlsx')
# 批量查询详细地址
for index, row in df_lnglat.iterrows():
lng = row['经度']
lat = row['纬度']
address = get_address(lng, lat)
df.at[index, '详细地址'] = address
# 输出结果并保存到新的xlsx文件
df.to_excel('详细地址.xlsx', index=False)
print('详细地址查询结果已保存到详细地址.xlsx')