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）

在前几篇（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 npdef get_weather_data(city_code):url = f&＃39;http://www.weather.com.cn/data/cityinfo/{city_code}.html&＃39;respOnse= urllib.request.urlopen(url)cOntent= response.read().decode(&＃39;utf-8&＃39;)return contentdef search_city_code(city_name):city_code = &＃39;-1&＃39;df = pd.read_json(&＃39;city_code.json&＃39;)for row in df.values:row_data = row[0]city_data = row_data[&＃39;市&＃39;]for cd in city_data:# print(cd[&＃39;市名&＃39;], cd[&＃39;编码&＃39;])if (city_name == cd[&＃39;市名&＃39;] or cd[&＃39;市名&＃39;] in city_name):city_code = cd[&＃39;编码&＃39;]breakreturn city_codeif __name__ == &＃39;__main__&＃39;:city_name_list = [&＃39;北京&＃39;, &＃39;上海&＃39;, &＃39;广州&＃39;, &＃39;深圳&＃39;, &＃39;成都&＃39;] # 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[&＃39;weatherinfo&＃39;][&＃39;temp2&＃39;].strip(&＃39;℃&＃39;) # 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=&＃39;OpenStreetMap&＃39;, # stamentonerzoom_start=5)HeatMap(data).add_to(map)map.save(&＃39;m.html&＃39;)wb.open(&＃39;m.html&＃39;)


绘制的热力图如下：