Python:天气预报接口获取json数据并结合温度值与城市经纬度通过folium绘制热力图（C）

分手后的思念是犯贱 2022-12-25 01:48 98阅读 0赞

在前几篇（[https://zhangphil.blog.csdn.net/article/details/110358440][https_zhangphil.blog.csdn.net_article_details_110358440]）的基础上，通过天气预报接口读取json天气预报数据，然后取出温度值，结合城市经纬度，最终通过folium绘制热力图。python代码如下：

import json
    import webbrowser as wb
    import pandas as pd
    import urllib
    import folium
    from folium.plugins import HeatMap
    import numpy as np
    
    
    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
        temp2 = []
        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)
            t = json_data['weatherinfo']['temp2'].strip('℃')  # 清洗数据，保留纯粹的数字
            temp2.append(float(t))
    
        print(temp2)
    
        latlngs = [[39.929986, 116.395645],  # 北京中心点经纬度
                   [31.249162, 121.487899],  # 上海中心点经纬度
                   [23.120049, 113.30765],  # 广州中心点经纬度
                   [22.546054, 114.025974],  # 深圳中心点经纬度
                   [30.679943, 104.067923]]  # 成都中心点经纬度
    
        temp1_ = np.expand_dims(np.array(temp2), axis=0)
        temp1_np = temp1_.reshape((5, 1))
        data = np.concatenate((latlngs, temp1_np), axis=1)
    
        map = folium.Map([33., 113.],  # 地图中心
                         tiles='OpenStreetMap',  # stamentoner
                         zoom_start=5)
    
        HeatMap(data).add_to(map)
        map.save('m.html')
        wb.open('m.html')

绘制的热力图如下：

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3poYW5ncGhpbA_size_16_color_FFFFFF_t_70][]

[https_zhangphil.blog.csdn.net_article_details_110358440]: https://zhangphil.blog.csdn.net/article/details/110358440
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3poYW5ncGhpbA_size_16_color_FFFFFF_t_70]: /images/20221120/947ce50cdcbe4c7d912b9640aeacdbcd.png