


How to use Python and Baidu Map API to obtain POI points in a specific administrative area?
How to use Python and Baidu Map API to obtain POI points in a specific administrative area?
Geographic information and location data play an increasingly important role in modern society. Obtaining POI (points of interest) information in a specific administrative area can provide a lot of help for various application scenarios. This article will introduce how to use the Python programming language and Baidu Map API to obtain POI points within a specific administrative area.
Before we start, we need to prepare some tools and resources. First, we need a Baidu Maps developer account and create an application to obtain the keys needed to access the API. Secondly, we need to install Python's requests library, which is used to send HTTP requests to obtain API data. Finally, we also need boundary data for an administrative region, which can be obtained from various map data providers, such as Baidu Maps, Amap, etc.
First, we need to obtain the boundary data of a specific administrative region, which can be used to construct the polygon of a region. Here, we assume that we already have polygon coordinate data containing a specific administrative area, and we can use these coordinates to construct a polygon object. The following is a sample code that uses Python's Shapely library to create a polygon object:
from shapely.geometry import Polygon # 行政区域的边界坐标 region_boundary = [(116.327158, 39.990912), (116.327510, 39.987176), (116.322296, 39.985177), (116.319754, 39.987376), (116.321070, 39.989070), (116.327158, 39.990912)] # 创建行政区域多边形对象 region_polygon = Polygon(region_boundary)
Next, we need to use the Baidu Map API to obtain POI points within a specific administrative area. Baidu Map API provides a Place API, which can obtain POI data based on specified keyword searches and specific location searches. The following is a sample code using Baidu Map API:
import requests def search_poi(keyword, region): # 百度地图Place API的请求网址 url = "http://api.map.baidu.com/place/v2/search" # 请求参数 params = { "query": keyword, "region": region, "output": "json", "ak": "your_api_key" # 替换为你的API密钥 } # 发送HTTP GET请求 response = requests.get(url, params=params) result = response.json() # 处理返回结果 if result["status"] == 0: # 返回POI点结果列表 return result["results"] else: # 返回空列表 return [] # 搜索包含“餐厅”的POI点 keyword = "餐厅" region = "北京市" poi_list = search_poi(keyword, region) # 打印POI点信息 for poi in poi_list: print("名称:", poi["name"]) print("地址:", poi["address"]) print("经度:", poi["location"]["lng"]) print("纬度:", poi["location"]["lat"])
In the above code, we define a search_poi
function that receives keywords and administrative regions as parameters and returns a List of eligible POI points. We can call this function to search for POI points within a specific administrative area. In the sample code, we search for POI points containing the keyword "restaurant" and print out the relevant information.
In summary, by using the Python programming language and Baidu Map API, we can easily obtain POI point information in a specific administrative area. This provides great convenience for developing location-related applications and services. I hope this article can help you understand how to use Python and Baidu Map API to obtain POI points in a specific administrative area.
The above is the detailed content of How to use Python and Baidu Map API to obtain POI points in a specific administrative area?. For more information, please follow other related articles on the PHP Chinese website!

Is it enough to learn Python for two hours a day? It depends on your goals and learning methods. 1) Develop a clear learning plan, 2) Select appropriate learning resources and methods, 3) Practice and review and consolidate hands-on practice and review and consolidate, and you can gradually master the basic knowledge and advanced functions of Python during this period.

Key applications of Python in web development include the use of Django and Flask frameworks, API development, data analysis and visualization, machine learning and AI, and performance optimization. 1. Django and Flask framework: Django is suitable for rapid development of complex applications, and Flask is suitable for small or highly customized projects. 2. API development: Use Flask or DjangoRESTFramework to build RESTfulAPI. 3. Data analysis and visualization: Use Python to process data and display it through the web interface. 4. Machine Learning and AI: Python is used to build intelligent web applications. 5. Performance optimization: optimized through asynchronous programming, caching and code

Python is better than C in development efficiency, but C is higher in execution performance. 1. Python's concise syntax and rich libraries improve development efficiency. 2.C's compilation-type characteristics and hardware control improve execution performance. When making a choice, you need to weigh the development speed and execution efficiency based on project needs.

Python's real-world applications include data analytics, web development, artificial intelligence and automation. 1) In data analysis, Python uses Pandas and Matplotlib to process and visualize data. 2) In web development, Django and Flask frameworks simplify the creation of web applications. 3) In the field of artificial intelligence, TensorFlow and PyTorch are used to build and train models. 4) In terms of automation, Python scripts can be used for tasks such as copying files.

Python is widely used in data science, web development and automation scripting fields. 1) In data science, Python simplifies data processing and analysis through libraries such as NumPy and Pandas. 2) In web development, the Django and Flask frameworks enable developers to quickly build applications. 3) In automated scripts, Python's simplicity and standard library make it ideal.

Python's flexibility is reflected in multi-paradigm support and dynamic type systems, while ease of use comes from a simple syntax and rich standard library. 1. Flexibility: Supports object-oriented, functional and procedural programming, and dynamic type systems improve development efficiency. 2. Ease of use: The grammar is close to natural language, the standard library covers a wide range of functions, and simplifies the development process.

Python is highly favored for its simplicity and power, suitable for all needs from beginners to advanced developers. Its versatility is reflected in: 1) Easy to learn and use, simple syntax; 2) Rich libraries and frameworks, such as NumPy, Pandas, etc.; 3) Cross-platform support, which can be run on a variety of operating systems; 4) Suitable for scripting and automation tasks to improve work efficiency.

Yes, learn Python in two hours a day. 1. Develop a reasonable study plan, 2. Select the right learning resources, 3. Consolidate the knowledge learned through practice. These steps can help you master Python in a short time.


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

MinGW - Minimalist GNU for Windows
This project is in the process of being migrated to osdn.net/projects/mingw, you can continue to follow us there. MinGW: A native Windows port of the GNU Compiler Collection (GCC), freely distributable import libraries and header files for building native Windows applications; includes extensions to the MSVC runtime to support C99 functionality. All MinGW software can run on 64-bit Windows platforms.

Notepad++7.3.1
Easy-to-use and free code editor

WebStorm Mac version
Useful JavaScript development tools

Dreamweaver Mac version
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)