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gpt-3.5-turbo-0301· OpenAI WildChat-4.8M (AI2)

我需要上海各地铁站的经纬度,以dataframe形式返回,并保存到本地

  1. User

    我需要上海各地铁站的经纬度,以dataframe形式返回,并保存到本地

  2. Assistant

    以下是获取上海各地铁站经纬度的代码,需要使用 requests 和 pandas 库:

    import requests
    import pandas as pd
    
    url = 'https://shanghaicity.openservice.kankanews.com/public/bus/metroStationInfo.json'
    
    response = requests.get(url).json()
    
    stations = response['data']
    
    data = []
    
    for station in stations:
        name = station['name']
        lon = float(station['longitude'])
        lat = float(station['latitude'])
        data.append([name, lon, lat])
    
    df = pd.DataFrame(data, columns=['name', 'longitude', 'latitude'])
    
    df.to_csv('shanghai_metro_stations.csv', index=False)
    

    上述代码将对上海所有地铁站的经纬度数据获取后保存为 CSV 文件。

  3. User

    我需要上海各地铁站的经纬度,以dataframe形式返回,并保存到本地

  4. Assistant

    以下是获取上海各地铁站经纬度的Python代码,需要使用requests和pandas库:

    import requests
    import pandas as pd
    
    url = 'https://shanghaicity.openservice.kankanews.com/public/bus/metroStationInfo.json'
    
    response = requests.get(url).json()
    
    stations = response['data']
    
    data = []
    
    for station in stations:
        name = station['name']
        lon = float(station['longitude'])
        lat = float(station['latitude'])
        data.append([name, lon, lat])
    
    df = pd.DataFrame(data, columns=['name', 'longitude', 'latitude'])
    
    df.to_csv('shanghai_metro_stations.csv', index=False) 
    

    上述代码将对上海所有地铁站的经纬度数据获取后保存为CSV文件。

Responses were produced in different, uncontrolled contexts (system prompts, settings, prior turns). This is not a benchmark.