How to call Baidu Map API through Python programming to display real-time traffic information on the map?

How to call Baidu Map API through Python programming to display real-time traffic information on the map?

Abstract: This article will introduce how to use the Python programming language to call Baidu Map API to display real-time traffic information on the map. By introducing the open interface of Baidu Maps and combining it with the powerful functions of Python programming, we can easily obtain and display the latest traffic congestion conditions to help users plan travel routes.

1. Preparation work
Before we start, we need to do some preparation work:
1. Register for a Baidu Open Platform account and obtain the key: You need an account for the Baidu Open Platform and obtain the key. The ak (access key) of the application.
2. Install the necessary Python libraries: We need to install the requests and matplotlib libraries. You can use the pip command to install:
pip install requests
pip install matplotlib

2. Call Baidu Map API to obtain real-time traffic information
In Python, we can use the requests library to send HTTP requests , thereby calling Baidu Map API to obtain real-time traffic information. Next, let's write the code to implement this functionality.

import requests

def get_traffic_info(location):
    base_url = "http://api.map.baidu.com/traffic/v1/bound"
    ak = "<your access key>"
    coords = "{},{},{},{}".format(location["left"], location["bottom"], location["right"], location["top"])
    url = "{}?ak={}&bounds={}".format(base_url, ak, coords)
    response = requests.get(url)
    data = response.json()
    return data

# 示例：获取北京市实时交通信息
location = {
    "left": 116.224261,
    "bottom": 39.822673,
    "right": 116.571177,
    "top": 40.095278
}
traffic_info = get_traffic_info(location)
print(traffic_info)

In the above code, we define a function named get_traffic_info, which receives a geographical location parameter and returns real-time traffic information at that location. We set the base_url in the function to the address of Baidu Map API, and splice the geographical location parameters into the URL through coords. Send a GET request using the requests.get method, get the returned JSON data, and parse it into a Python object.

3. Display real-time traffic information on the map
Through the above code, we have successfully obtained real-time traffic information. Next, we can use the matplotlib library to display this information on the map.

First, we need to install the Basemap library, which can be installed through the following command:

pip install basemap

Next, we write the following code to realize the visual display of the map:

from mpl_toolkits.basemap import Basemap
import matplotlib.pyplot as plt

def show_traffic_info(location, traffic_info):
    m = Basemap(projection='merc',
                llcrnrlat=location["bottom"],
                urcrnrlat=location["top"],
                llcrnrlon=location["left"],
                urcrnrlon=location["right"],
                lat_ts=20,
                resolution='i')
    m.drawcoastlines()
    m.fillcontinents(color='coral', lake_color='aqua')

    for road in traffic_info["road_traffic"]:
        start_x, start_y = m(road["start_point"]["x"], road["start_point"]["y"])
        end_x, end_y = m(road["end_point"]["x"], road["end_point"]["y"])
        m.plot([start_x, end_x], [start_y, end_y], linewidth=road["direction"]["congestion"])
    plt.show()

# 示例：展示北京市实时交通信息在地图上的显示
show_traffic_info(location, traffic_info)

In the above code, we define a function named show_traffic_info, which receives geographical location and traffic information as parameters, uses the Basemap library to create a map object, and sets the scope of the map through the incoming geographical location parameters.
Then, we draw the corresponding line segments on the map based on the starting and ending points of each road based on the traffic information, and use the congestion of the road to set the width of the line segments.

4. Summary
By using the Python programming language and combining the functions of Baidu Map API and matplotlib library, we can easily obtain and display real-time traffic information on the map. Displaying this information on the map can not only intuitively understand the on-site traffic conditions, but also help users plan travel routes, avoid congested sections, and improve travel efficiency. I hope this article can help readers better understand and apply the Python programming language.

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