


Python programming skills: How to obtain POI classification information based on Baidu Map API
Python programming skills: How to obtain POI classification information based on Baidu Map API
Introduction:
When developing geographical information-related applications, it is often necessary to obtain POIs (points of interest) in specific areas Classified information. Baidu Map API provides rich functions to obtain this information. This article will introduce how to use the Python programming language and Baidu Map API to obtain point of interest classification information, and provide practical code examples.
-
Preparation
Before using the Baidu Map API, you need to first apply for a Baidu developer account and create an application. Then, get your application key (AK) so you can access the API. Before starting to write code, please make sure you have installed Python's requests library. You can use the following command to install it:pip install requests
- Send API request
Baidu Map API provides a POI classification information query Interface: http://api.map.baidu.com/place/v2/search, we will use this interface to query. The following are the basic steps for sending an API request:
2.1 Build the request URL
First, we need to build a URL that contains the parameters to be queried. The following is a sample code to build a URL:
import requests def build_url(query, region): base_url = "http://api.map.baidu.com/place/v2/search?" ak = "your_api_key" # 替换成你自己的API密钥 output = "json" url = f"{base_url}query={query}®ion={region}&output={output}&ak={ak}" return url
In the above code, we use f-string to build the URL, where query and region are the parameters to be queried. You need to replace "your_api_key" with your own API key.
2.2 Send a request
Next, we use the requests library to send an HTTP GET request and get the response result. The following is a sample code for sending a request:
def send_request(url): response = requests.get(url) data = response.json() return data
For the obtained response result, we can use the .json() method to convert it into a Python dictionary object.
-
Analysis of response results
The API response result obtained will contain the POI classification information in the queried area. The following is a sample code for parsing the response result:def parse_response(data): if data.get("status") == 0: for result in data.get("results"): name = result.get("name") address = result.get("address") print(f"名称:{name},地址:{address}") else: print(f"请求失败,错误信息:{data.get('message')}")
In the above code, we first determine whether the status code of the response result is 0. If so, then traverse the result list to obtain the name and address of each POI information and print it out. If the status code is not 0, an error message is printed.
-
Complete code example
The following is a complete code example using the above method to obtain POI classification information:import requests def build_url(query, region): base_url = "http://api.map.baidu.com/place/v2/search?" ak = "your_api_key" # 替换成你自己的API密钥 output = "json" url = f"{base_url}query={query}®ion={region}&output={output}&ak={ak}" return url def send_request(url): response = requests.get(url) data = response.json() return data def parse_response(data): if data.get("status") == 0: for result in data.get("results"): name = result.get("name") address = result.get("address") print(f"名称:{name},地址:{address}") else: print(f"请求失败,错误信息:{data.get('message')}") def main(): query = "餐厅" # 要查询的POI分类 region = "北京市" # 区域名称 url = build_url(query, region) data = send_request(url) parse_response(data) if __name__ == "__main__": main()
In the code, we define a main() The function serves as the entry point of the program, and the query and region parameters can be modified as needed. Running the code will print out the restaurant name and address information in the query area.
Summary:
Using the Python programming language and Baidu Map API can easily obtain POI classification information. This article introduces how to use Baidu Map API to send requests, parse response results, and provides complete code examples. Readers can adjust and extend it according to their own needs to achieve more functions.
The above is the detailed content of Python programming skills: How to obtain POI classification information based on Baidu Map API. For more information, please follow other related articles on the PHP Chinese website!

Pythonlistsareimplementedasdynamicarrays,notlinkedlists.1)Theyarestoredincontiguousmemoryblocks,whichmayrequirereallocationwhenappendingitems,impactingperformance.2)Linkedlistswouldofferefficientinsertions/deletionsbutslowerindexedaccess,leadingPytho

Pythonoffersfourmainmethodstoremoveelementsfromalist:1)remove(value)removesthefirstoccurrenceofavalue,2)pop(index)removesandreturnsanelementataspecifiedindex,3)delstatementremoveselementsbyindexorslice,and4)clear()removesallitemsfromthelist.Eachmetho

Toresolvea"Permissiondenied"errorwhenrunningascript,followthesesteps:1)Checkandadjustthescript'spermissionsusingchmod xmyscript.shtomakeitexecutable.2)Ensurethescriptislocatedinadirectorywhereyouhavewritepermissions,suchasyourhomedirectory.

ArraysarecrucialinPythonimageprocessingastheyenableefficientmanipulationandanalysisofimagedata.1)ImagesareconvertedtoNumPyarrays,withgrayscaleimagesas2Darraysandcolorimagesas3Darrays.2)Arraysallowforvectorizedoperations,enablingfastadjustmentslikebri

Arraysaresignificantlyfasterthanlistsforoperationsbenefitingfromdirectmemoryaccessandfixed-sizestructures.1)Accessingelements:Arraysprovideconstant-timeaccessduetocontiguousmemorystorage.2)Iteration:Arraysleveragecachelocalityforfasteriteration.3)Mem

Arraysarebetterforelement-wiseoperationsduetofasteraccessandoptimizedimplementations.1)Arrayshavecontiguousmemoryfordirectaccess,enhancingperformance.2)Listsareflexiblebutslowerduetopotentialdynamicresizing.3)Forlargedatasets,arrays,especiallywithlib

Mathematical operations of the entire array in NumPy can be efficiently implemented through vectorized operations. 1) Use simple operators such as addition (arr 2) to perform operations on arrays. 2) NumPy uses the underlying C language library, which improves the computing speed. 3) You can perform complex operations such as multiplication, division, and exponents. 4) Pay attention to broadcast operations to ensure that the array shape is compatible. 5) Using NumPy functions such as np.sum() can significantly improve performance.

In Python, there are two main methods for inserting elements into a list: 1) Using the insert(index, value) method, you can insert elements at the specified index, but inserting at the beginning of a large list is inefficient; 2) Using the append(value) method, add elements at the end of the list, which is highly efficient. For large lists, it is recommended to use append() or consider using deque or NumPy arrays to optimize performance.


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

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

PhpStorm Mac version
The latest (2018.2.1) professional PHP integrated development tool

Atom editor mac version download
The most popular open source editor

WebStorm Mac version
Useful JavaScript development tools

Dreamweaver Mac version
Visual web development tools

SublimeText3 Linux new version
SublimeText3 Linux latest version
