187 lines
6.2 KiB
Plaintext
187 lines
6.2 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"id": "initial_id",
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"metadata": {
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"collapsed": true,
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"ExecuteTime": {
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"end_time": "2025-05-12T03:37:52.859828Z",
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"start_time": "2025-05-12T03:37:51.819641Z"
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}
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},
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"source": [
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"import pandas as pd\n",
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"import requests\n",
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"\n",
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"# 读取Excel文件\n",
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"df = pd.read_excel(r\"C:\\Users\\Administrator.DESKTOP-7IC2USJ\\Desktop\\地址.xlsx\",sheet_name=\"Sheet2\")\n",
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"print(df)"
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],
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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" 省 市 区/县 地址 门店店名\n",
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"0 上海市 市辖区 杨浦区 国和路 上海车杰汽车服务\n",
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"1 上海市 市辖区 杨浦区 周家嘴路 SunRise Garage汽美工作室\n",
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"2 上海市 市辖区 闵行区 泰虹路 上海 11区洗美工作室\n",
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"3 上海市 市辖区 闵行区 中春路 上海龙腾汽车用品批发\n",
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"4 上海市 市辖区 闵行区 华友路 膜幻视佳量子膜上海中心店\n",
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"5 天津市 市辖区 河西区 解放南路环渤海汽车城 天津久航汽车装具\n",
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"6 天津市 市辖区 河西区 解放路环渤海汽车城D区 科奇装具\n",
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"7 天津市 市辖区 宝坻区 钰华街道 博士汽车音响改装\n"
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]
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}
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],
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"execution_count": 1
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},
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{
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"metadata": {
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"ExecuteTime": {
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"end_time": "2025-05-12T03:51:38.882104Z",
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"start_time": "2025-05-12T03:51:38.837039Z"
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}
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},
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"cell_type": "code",
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"source": [
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"# 百度地图API的URL和密钥\n",
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"url = \"https://api.map.baidu.com/place/v3/search\"\n",
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"ak = \"jKHRQ8B8LcccdK6qGVWYbvjhMNIhak31\" # 替换为你的百度地图API密钥\n",
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"sn = \"SK iX68jJkgCs5rXkuH9l02I9jwFrqu5IB9\"\n",
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"\n",
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"# 遍历Excel表中的每一行\n",
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"for index, row in df.iterrows():\n",
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" # 构造查询参数\n",
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" params = {\n",
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" \"query\": row['门店店名'], # 使用门店店名作为查询关键词\n",
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" \"region\": row['省'], # 指定查询的城市\n",
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" \"output\": \"json\",\n",
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" \"ak\": ak,\n",
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" \"sn\": sn,\n",
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" \"scope\": 2 # 获取详细信息\n",
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" }\n",
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"\n",
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" # 发送请求\n",
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" response = requests.get(url, params=params)\n",
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" result = response.json()\n",
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" print(result)\n",
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" break\n",
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"# pois = data.get(\"pois\",[])\n",
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"# if len(pois)==0:\n",
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"# print(f\"未找到门店店名：{shop_name}\")\n",
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"# continue\n",
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"# for poi in pois:\n",
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"# poi.update({\"shop_name\":row['门店店名']})\n",
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"# all_data.append(poi)\n",
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"#\n",
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"# df = pd.DataFrame(all_data)\n",
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"# df.to_csv(\"pois1.csv\",index=False)\n",
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"\n",
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"\n"
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],
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"id": "a78d2f1b2810ada0",
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"{'status': 211, 'message': 'APP SN校验失败'}\n"
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]
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}
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],
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"execution_count": 8
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},
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{
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"metadata": {},
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"cell_type": "code",
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"outputs": [],
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"execution_count": null,
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"source": [
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" # 检查是否有结果\n",
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" if result['status'] == 0 and 'results' in result and result['results']:\n",
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" # 获取第一个结果的电话号码\n",
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" telephone = result['results'][0].get('telephone', '')\n",
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" # 将电话号码写入新的列\n",
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" df.at[index, '电话号码'] = telephone\n",
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" else:\n",
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" # 如果没有找到结果，写入空字符串\n",
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" df.at[index, '电话号码'] = ''\n",
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"\n",
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"# 保存修改后的Excel文件\n",
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"df.to_excel('updated_file.xlsx', index=False) # 替换为保存后的文件路径"
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],
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"id": "670eba13d2a1d820"
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},
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{
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"metadata": {
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"ExecuteTime": {
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"end_time": "2025-05-12T03:54:24.013939Z",
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"start_time": "2025-05-12T03:54:23.896204Z"
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}
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},
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"cell_type": "code",
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"source": [
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"# -*- coding: utf-8 -*-\n",
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"import requests\n",
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"import time\n",
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"import json\n",
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"import hashlib\n",
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"from urllib import parse\n",
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"\n",
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"def GetBaiduResponse(addtress):\n",
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" # 以get请求为例http://api.map.baidu.com/geocoder/v2/?address=百度大厦&output=json&ak=你的ak\n",
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" queryStr = '/geocoding/v3/?address=%s&output=json&ak=jKHRQ8B8LcccdK6qGVWYbvjhMNIhak31' % addtress\n",
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" # 对queryStr进行转码，safe内的保留字符不转换\n",
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" encodedStr = parse.quote(queryStr, safe=\"/:=&?#+!$,;'@()*[]\")\n",
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" # 在最后直接追加上yoursk\n",
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" rawStr = encodedStr + 'iX68jJkgCs5rXkuH9l02I9jwFrqu5IB9'\n",
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" #计算sn\n",
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" sn = (hashlib.md5(parse.quote_plus(rawStr).encode(\"utf8\")).hexdigest())\n",
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" #由于URL里面含有中文，所以需要用parse.quote进行处理，然后返回最终可调用的url\n",
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" url = parse.quote(\"http://api.map.baidu.com\"+queryStr+\"&sn=\"+sn, safe=\"/:=&?#+!$,;'@()*[]\")\n",
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" res = requests.get(url, headers={\"content-type\": \"application/json\"})\n",
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"\n",
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" return res.content.decode()\n",
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"\n",
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"if __name__ == '__main__':\n",
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" res = GetBaiduResponse('上海')\n",
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" print(res)\n"
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],
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"id": "8f6b2269366d39ca",
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"{\"status\":0,\"result\":{\"location\":{\"lng\":121.48053886017651,\"lat\":31.235929042252015},\"precise\":0,\"confidence\":20,\"comprehension\":100,\"level\":\"城市\"}}\n"
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]
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}
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],
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"execution_count": 11
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 2
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython2",
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"version": "2.7.6"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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