疫情這么嚴重，想著說做個世界地圖實時顯示下疫情信息，結果做著做著發現有人已經做好了（可惜因為沒有國內的相關資質不能隨意發布數據，所以不能貼網址）： COVID-19 Dashboard by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University (JHU) 好吧，那就當學習吧：
# -*- coding: UTF-8 -*-# Ver 0.1# Author:advancedanimalimport numpy as np
import folium
import os
import pandas as pd
from folium.plugins import HeatMap
import json
import urllib.request# GPS of current location
latitude =31.19
longitude =121.32
map_data = folium.Map(location=[latitude, longitude], zoom_start=4,tiles=('http://www.google.cn/maps/vt?lyrs=m@189&gl=cn&x={x}&y={y}&z={z}'),attr='default')# Read Dataset
resp = urllib.request.urlopen('https://coronavirus-tracker-api.herokuapp.com/v2/locations')
org_data =(json.loads(resp.read()))['locations']
json_data = pd.json_normalize(org_data)# Instantiate a feature group for the incidents in the dataframe
incidents = folium.map.FeatureGroup()# Add circle on the mapfor country_no in json_data.id:incidents.add_child(folium.CircleMarker([json_data["coordinates.latitude"][country_no],json_data["coordinates.longitude"][country_no]],radius=7,color='yellow',fill=True,fill_color='red',fill_opacity=0.4))
map_data.add_child(incidents)# Add pop-up text to circlesfor country_no in json_data.id:if json_data.province[country_no]!='':label_tooltip ="{}{}{}{}{}".format(str(json_data.province[country_no]),' CONFIRM:',str(json_data["latest.confirmed"][country_no]),' DEATH:',str(json_data["latest.deaths"][country_no]))else:label_tooltip ="{}{}{}{}{}".format(str(json_data.country[country_no]),' CONFIRM:',str(json_data["latest.confirmed"][country_no]),' DEATH:',str(json_data["latest.deaths"][country_no]))folium.RegularPolygonMarker([json_data["coordinates.latitude"][country_no],json_data["coordinates.longitude"][country_no]],tooltip=label_tooltip,number_of_sides=10,radius=5).add_to(map_data)# Convert data format
lat = np.array(json_data["coordinates.latitude"][0:255], dtype=float)
lon = np.array(json_data["coordinates.longitude"][0:255], dtype=float)
confirm = np.array(json_data["latest.confirmed"][0:255], dtype=float)
heatdata =[[lat[i], lon[i], confirm[i]]for i inrange(255)]# add incidents to map
HeatMap(heatdata, radius=40).add_to(map_data)
