Home Backend Development Python Tutorial How to write a program in Python to use Baidu Map API to display real-time traffic conditions on the map?

How to write a program in Python to use Baidu Map API to display real-time traffic conditions on the map?

Aug 02, 2023 pm 02:33 PM
written in python Baidu map api Map real-time traffic conditions

How to write a program in Python and use Baidu Map API to display real-time traffic conditions on the map?

In modern society, maps have become an indispensable part of our lives. Whether it is travel navigation or finding surrounding places, maps provide important help. In map applications, real-time traffic information is a very important function. This article will introduce how to use Python to write a program to use Baidu Map API to display real-time traffic information on the map.

First, we need to prepare some necessary materials. First, you need to install a Python development environment. You can choose to download and install the latest Python version from the official website. Secondly, you need to register an account on Baidu Map Open Platform and obtain the corresponding key in order to use Baidu Map API.

Next, we need to install some third-party libraries for Python to facilitate subsequent development. You can use the pip command to install it. Open a terminal or command prompt and enter the following command to install the required libraries:

pip install requests
pip install folium
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Next, we can start writing Python programs. The following is a sample program that can obtain real-time traffic information through Baidu Map API and display it on the map:

import requests
import folium

# 获取百度地图API的密钥
api_key = 'your_api_key'

# 获取实时路况信息
def get_traffic_info(api_key):
    url = f'http://api.map.baidu.com/traffic/v1/road?ak={api_key}&city=北京市'
    response = requests.get(url)
    traffic_info = response.json()
    return traffic_info

# 在地图上显示实时路况
def show_traffic_on_map(traffic_info):
    # 创建地图对象
    map = folium.Map(location=[39.9075, 116.39723], control_scale=True, zoom_start=11)
    
    # 遍历实时路况信息
    for road in traffic_info['roads']:
        polyline = road['polyline']
        status = road['status']
        
        # 根据路况状态选择不同的颜色
        if status == 1:
            color = 'green'
        elif status == 2:
            color = 'yellow'
        elif status == 3:
            color = 'red'
        else:
            color = 'gray'
        
        # 在地图上添加路线
        folium.PolyLine(locations=polyline, color=color, weight=5).add_to(map)
    
    # 保存地图为HTML文件,可在浏览器中打开查看
    map.save('traffic_map.html')
    print('地图已保存为 traffic_map.html')

# 主函数
def main(api_key):
    traffic_info = get_traffic_info(api_key)
    show_traffic_on_map(traffic_info)

if __name__ == '__main__':
    main(api_key)
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In the above sample code, we first define a get_traffic_info function, using Yu obtains real-time traffic information through Baidu Map API. Next, we defined a show_traffic_on_map function to display real-time traffic information on the map. Finally, in the main function, we call these two functions to complete the generation of real-time traffic map.

It should be noted that in this sample program, we only display real-time traffic information in Beijing. If you want to display real-time traffic conditions in other cities, you can modify the city parameter in url and pass in the name of the corresponding city.

After running the program, an HTML file named traffic_map.html will be generated. You can open it through a browser to view the map. Routes of different colors will be displayed on the map, representing different traffic conditions.

By writing the above code, you can use Python to write programs to display real-time traffic information on the map, helping you better understand local traffic conditions and facilitate travel and route planning. I believe this feature can bring you a better map experience.

The above is the detailed content of How to write a program in Python to use Baidu Map API to display real-time traffic conditions on the map?. For more information, please follow other related articles on the PHP Chinese website!

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