Python:获取中国城市的天气预报json数据（B）

刺骨的言语ヽ痛彻心扉 2022-12-25 01:46 251阅读 0赞

上一篇（[https://zhangphil.blog.csdn.net/article/details/110357488][https_zhangphil.blog.csdn.net_article_details_110357488]）已经知道如何获取某个城市的天气预报城市编码，接下来可以通过天气预报接开获取天气json数据：

import pandas as pd
    import json
    import urllib
    
    
    def get_weather_data(city_code):
        url = f'http://www.weather.com.cn/data/cityinfo/{city_code}.html'
        response = urllib.request.urlopen(url)
        content = response.read().decode('utf-8')
        return content
    
    
    def search_city_code(city_name):
        city_code = '-1'
    
        df = pd.read_json('city_code.json')
        for row in df.values:
            row_data = row[0]
            city_data = row_data['市']
            for cd in city_data:
                # print(cd['市名'], cd['编码'])
                if (city_name == cd['市名'] or cd['市名'] in city_name):
                    city_code = cd['编码']
                    break
    
        return city_code
    
    
    if __name__ == '__main__':
        city_name_list = ['北京', '上海', '广州', '深圳', '成都']  # 获取以上五个城市天气数据
        for cn in city_name_list:
            city_code = search_city_code(cn)
            weather_data = get_weather_data(city_code)
            json_data = json.loads(weather_data)
            print(json_data)
            temp1 = json_data['weatherinfo']['temp1'].strip('℃')  # 清洗数据，保留纯粹的数字
            print(cn, temp1)

[https_zhangphil.blog.csdn.net_article_details_110357488]: https://zhangphil.blog.csdn.net/article/details/110357488