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
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Download- 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
- 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。
- 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
- 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。
Other models, same or similar prompt
Responses were produced in different, uncontrolled contexts (system prompts, settings, prior turns). This is not a benchmark.