中国疫情地图 (pyecharts绘制)

数据源：https://view.inews.qq.com/g2/getOnsInfo?name=disease_h5&callback=jQuery3410045725017118113165_1584794261784&_=1584794261785

import requests
import json
import pandas as pd

def getData():
    url='https://view.inews.qq.com/g2/getOnsInfo?name=disease_h5'
    headers={
        'user-agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/80.0.3987.149 Safari/537.36'
          
    }
    r=requests.get(url,headers)
    res=json.loads(r.text)
    data=res['data']
  

    data_res=json.loads(data)
    return data_res
data_dict=getData()

pip install pyecharts
pip install echarts-china-provinces-pypkg

data_dict.keys()

dict_keys(['lastUpdateTime', 'chinaTotal', 'chinaAdd', 'isShowAdd', 'showAddSwitch', 'areaTree', 'chinaDayList', 'chinaDayAddList', 'dailyNewAddHistory', 'dailyHistory', 'wuhanDayList', 'articleList'])

province_list=data_dict['areaTree'][0]['children']
proList=list()
for province in province_list:
    pro_dict=dict()
    pro_dict['name']=province['name']
    pro_dict['confirm']=province['total']['confirm']
    pro_dict['heal']=province['total']['heal']
    pro_dict['dead']=province['total']['dead']
    pro_dict['nowConfirm']=pro_dict['confirm']-pro_dict['heal']-pro_dict['dead']
    proList.append(pro_dict)

province_df=pd.DataFrame(proList)
province_df

	name	confirm	heal	dead	nowConfirm
0	湖北	67800	58942	3139	5719
1	广东	1399	1325	8	66
2	河南	1273	1250	22	1
3	浙江	1236	1219	1	16
4	湖南	1018	1014	4	0
5	安徽	990	984	6	0
6	江西	935	934	1	0
7	山东	764	749	7	8
8	江苏	631	631	0	0
9	重庆	576	570	6	0
10	四川	542	536	3	3
11	北京	504	396	8	100
12	黑龙江	484	463	13	8
13	上海	380	327	3	50
14	河北	318	310	6	2
15	福建	303	295	1	7
16	香港	273	98	4	171
17	广西	254	250	2	2
18	陕西	248	239	3	6
19	云南	176	172	2	2
20	海南	168	161	6	1
21	台湾	153	28	2	123
22	贵州	146	144	2	0
23	天津	137	133	3	1
24	甘肃	134	113	2	19
25	山西	133	133	0	0
26	辽宁	126	122	2	2
27	吉林	93	92	1	0
28	新疆	76	73	3	0
29	宁夏	75	75	0	0
30	内蒙古	75	74	1	0
31	青海	18	18	0	0
32	澳门	17	10	0	7
33	西藏	1	1	0	0

from pyecharts.charts import Map
from pyecharts import options as opts #共用插件，控制图片大小，标题颜色等
from IPython.display import HTML

c=Map(opts.InitOpts(width='1000px',height='800px'))
province_name=[str(x) for x in province_df.name]
province_confirm=[int(x) for x in province_df.confirm]
province_heal=[int(x) for x in province_df.heal]
province_dead=[int(x) for x in province_df.dead]
province_nowConfirm=[int(x) for x in province_df.nowConfirm]
gen=[list(z) for z in zip(province_name,province_confirm)]
gen2=[list(z) for z in zip(province_name,province_heal)]
gen3=[list(z) for z in zip(province_name,province_dead)]
gen4=[list(z) for z in zip(province_name,province_nowConfirm)]
#颜色配置
pieces=[
    {'max':1,'color':'#FFFFF0'},
    {'min':1,'max':9,'color':'#FFE0E0'},
    {'min':10,'max':99,'color':'#FEC0C0'},
    {'min':100,'max':499,'color':'#FD9090'},
    {'min':500,'max':999,'color':'#FC6060'},
    {'min':1000,'max':9999,'color':'#FB3030'},
    {'min':10000,'color':'#DD0000'},
    

]
c.add('全国累计确诊',gen,'china')
c.add('全国累计治愈',gen2,'china',is_selected=False)
c.add('全国累计死亡',gen3,'china',is_selected=False)
c.add('全国现有确诊',gen4,'china',is_selected=False)


c.set_global_opts(title_opts=opts.TitleOpts(title='中国加油'),
                 visualmap_opts=opts.VisualMapOpts(is_piecewise=True,pieces=pieces))
c.render_notebook()

    <div id="00f38a6f79af4244b937e020140f8c98" style="width:1000px; height:800px;"></div>