[爬虫学习]制作实时新冠病毒确诊统计程序

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篇首语:本文由小常识网(cha138.com)小编为大家整理,主要介绍了[爬虫学习]制作实时新冠病毒确诊统计程序相关的知识,希望对你有一定的参考价值。

自2020年一月份以来,新冠病毒的爆发与治疗让我们每个人都不太舒服

虽然我们普通人能做的地方并不多,并不能像医护人员一样冲锋陷阵,但是我们只要听从命令与指挥,不给国家添乱,我们就已经为国家贡献出了属于自己的力量。

加油吧中国!

 

好了,言归正传,经过简单的爬虫学习,就想编写一个实时系统来查询确诊数据,这样就能让我在打代码的同时随时都可以查询到地区确诊人数,也让我好安心学习与编程!

我们需要用到两个关于爬虫的库:json库(用于分析json文件),requests库(用于相应网站),pyecharts库,pandas库

首先我们看到我们需要用到的网站(全国疫情实时追踪):

技术图片

 

用开发者工具分析该网站:

技术图片

 

通过分析我们开始构造爬虫代码:

#响应网站与读取信息

1 url = 
2 headers = {
3     User-Agent:Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:73.0) Gecko/20100101 Firefox/73.0
4 }
5 resp = requests.get(url,headers = headers)
6 resp_text = resp.text

#将已编码的 JSON 字符串解码为 Python 对象:

     1 data = json.loads(resp_text) 

#通过打印数据查看我们需要提取的list的序:

技术图片
{‘stat‘: ‘1‘, ‘msg‘: ‘请求成功‘, ‘data‘: {‘last_update_time‘: ‘1582299777‘, ‘ncov_national_map‘: [{‘name‘: ‘湖北‘, ‘value‘: ‘63088‘}, {‘name‘: ‘广东‘, ‘value‘: ‘1333‘}, {‘name‘: ‘河南‘, ‘value‘: ‘1267‘}, {‘name‘: ‘浙江‘, ‘value‘: ‘1203‘}, {‘name‘: ‘湖南‘, ‘value‘: ‘1011‘}, {‘name‘: ‘安徽‘, ‘value‘: ‘988‘}, {‘name‘: ‘江西‘, ‘value‘: ‘934‘}, {‘name‘: ‘山东‘, ‘value‘: ‘749‘}, {‘name‘: ‘江苏‘, ‘value‘: ‘631‘}, {‘name‘: ‘重庆‘, ‘value‘: ‘567‘}, {‘name‘: ‘四川‘, ‘value‘: ‘525‘}, {‘name‘: ‘黑龙江‘, ‘value‘: ‘479‘}, {‘name‘: ‘北京‘, ‘value‘: ‘396‘}, {‘name‘: ‘上海‘, ‘value‘: ‘334‘}, {‘name‘: ‘河北‘, ‘value‘: ‘308‘}, {‘name‘: ‘福建‘, ‘value‘: ‘293‘}, {‘name‘: ‘广西‘, ‘value‘: ‘246‘}, {‘name‘: ‘陕西‘, ‘value‘: ‘245‘}, {‘name‘: ‘云南‘, ‘value‘: ‘174‘}, {‘name‘: ‘海南‘, ‘value‘: ‘168‘}, {‘name‘: ‘贵州‘, ‘value‘: ‘146‘}, {‘name‘: ‘天津‘, ‘value‘: ‘132‘}, {‘name‘: ‘山西‘, ‘value‘: ‘132‘}, {‘name‘: ‘辽宁‘, ‘value‘: ‘121‘}, {‘name‘: ‘吉林‘, ‘value‘: ‘91‘}, {‘name‘: ‘甘肃‘, ‘value‘: ‘91‘}, {‘name‘: ‘新疆‘, ‘value‘: ‘76‘}, {‘name‘: ‘内蒙古‘, ‘value‘: ‘75‘}, {‘name‘: ‘宁夏‘, ‘value‘: ‘71‘}, {‘name‘: ‘香港‘, ‘value‘: ‘68‘}, {‘name‘: ‘台湾‘, ‘value‘: ‘26‘}, {‘name‘: ‘青海‘, ‘value‘: ‘18‘}, {‘name‘: ‘澳门‘, ‘value‘: ‘10‘}, {‘name‘: ‘西藏‘, ‘value‘: ‘1‘}], ‘ncov_top_info‘: {‘total_case_arr‘: {‘suspectcase‘: ‘5206‘, ‘totalcase‘: ‘75997‘, ‘curecase‘: ‘18411‘, ‘deathcase‘: ‘2239‘}, ‘total_case_add_arr‘: {‘suspectcase‘: ‘+1614‘, ‘totalcase‘: ‘+1322‘, ‘ortotalcase‘: ‘1322‘, ‘curecase‘: ‘+2243‘, ‘deathcase‘: ‘+118‘}}, ‘sup_and_total_trend‘: [{‘date‘: ‘01.13‘, ‘totalcase‘: ‘41‘, ‘suspectcase‘: ‘0‘}, {‘date‘: ‘01.14‘, ‘totalcase‘: ‘41‘, ‘suspectcase‘: ‘0‘}, {‘date‘: ‘01.15‘, ‘totalcase‘: ‘41‘, ‘suspectcase‘: ‘0‘}, {‘date‘: ‘01.16‘, ‘totalcase‘: ‘45‘, ‘suspectcase‘: ‘0‘}, {‘date‘: ‘01.17‘, ‘totalcase‘: ‘62‘, ‘suspectcase‘: ‘0‘}, {‘date‘: ‘01.18‘, ‘totalcase‘: ‘198‘, ‘suspectcase‘: ‘0‘}, {‘date‘: ‘01.19‘, ‘totalcase‘: ‘275‘, ‘suspectcase‘: ‘0‘}, {‘date‘: ‘01.20‘, ‘totalcase‘: ‘291‘, ‘suspectcase‘: ‘54‘}, {‘date‘: ‘01.21‘, ‘totalcase‘: ‘440‘, ‘suspectcase‘: ‘37‘}, {‘date‘: ‘01.22‘, ‘totalcase‘: ‘574‘, ‘suspectcase‘: ‘393‘}, {‘date‘: ‘01.23‘, ‘totalcase‘: ‘835‘, ‘suspectcase‘: ‘1072‘}, {‘date‘: ‘01.24‘, ‘totalcase‘: ‘1297‘, ‘suspectcase‘: ‘1965‘}, {‘date‘: ‘01.25‘, ‘totalcase‘: ‘1985‘, ‘suspectcase‘: ‘2684‘}, {‘date‘: ‘01.26‘, ‘totalcase‘: ‘2761‘, ‘suspectcase‘: ‘5794‘}, {‘date‘: ‘01.27‘, ‘totalcase‘: ‘4535‘, ‘suspectcase‘: ‘6973‘}, {‘date‘: ‘01.28‘, ‘totalcase‘: ‘5997‘, ‘suspectcase‘: ‘9239‘}, {‘date‘: ‘01.29‘, ‘totalcase‘: ‘7736‘, ‘suspectcase‘: ‘12167‘}, {‘date‘: ‘01.30‘, ‘totalcase‘: ‘9720‘, ‘suspectcase‘: ‘15238‘}, {‘date‘: ‘01.31‘, ‘totalcase‘: ‘11821‘, ‘suspectcase‘: ‘17988‘}, {‘date‘: ‘02.01‘, ‘totalcase‘: ‘14411‘, ‘suspectcase‘: ‘19544‘}, {‘date‘: ‘02.02‘, ‘totalcase‘: ‘17238‘, ‘suspectcase‘: ‘21558‘}, {‘date‘: ‘02.03‘, ‘totalcase‘: ‘20471‘, ‘suspectcase‘: ‘23214‘}, {‘date‘: ‘02.04‘, ‘totalcase‘: ‘24363‘, ‘suspectcase‘: ‘23260‘}, {‘date‘: ‘02.05‘, ‘totalcase‘: ‘28060‘, ‘suspectcase‘: ‘24702‘}, {‘date‘: ‘02.06‘, ‘totalcase‘: ‘31211‘, ‘suspectcase‘: ‘26359‘}, {‘date‘: ‘02.07‘, ‘totalcase‘: ‘34598‘, ‘suspectcase‘: ‘27657‘}, {‘date‘: ‘02.08‘, ‘totalcase‘: ‘37251‘, ‘suspectcase‘: ‘28942‘}, {‘date‘: ‘02.09‘, ‘totalcase‘: ‘40235‘, ‘suspectcase‘: ‘23589‘}, {‘date‘: ‘02.10‘, ‘totalcase‘: ‘42708‘, ‘suspectcase‘: ‘21675‘}, {‘date‘: ‘02.11‘, ‘totalcase‘: ‘44730‘, ‘suspectcase‘: ‘16067‘}, {‘date‘: ‘02.12‘, ‘totalcase‘: ‘59882‘, ‘suspectcase‘: ‘13435‘}, {‘date‘: ‘02.13‘, ‘totalcase‘: ‘63932‘, ‘suspectcase‘: ‘10109‘}, {‘date‘: ‘02.14‘, ‘totalcase‘: ‘66576‘, ‘suspectcase‘: ‘8969‘}, {‘date‘: ‘02.15‘, ‘totalcase‘: ‘68584‘, ‘suspectcase‘: ‘8228‘}, {‘date‘: ‘02.16‘, ‘totalcase‘: ‘70635‘, ‘suspectcase‘: ‘7264‘}, {‘date‘: ‘02.17‘, ‘totalcase‘: ‘72528‘, ‘suspectcase‘: ‘6242‘}, {‘date‘: ‘02.18‘, ‘totalcase‘: ‘74279‘, ‘suspectcase‘: ‘5248‘}, {‘date‘: ‘02.19‘, ‘totalcase‘: ‘74675‘, ‘suspectcase‘: ‘4922‘}, {‘date‘: ‘02.20‘, ‘totalcase‘: ‘75141‘, ‘suspectcase‘: ‘5206‘}], ‘cure_and_death_trend‘: [{‘date‘: ‘01.13‘, ‘curecase‘: ‘0‘, ‘deathcase‘: ‘1‘}, {‘date‘: ‘01.14‘, ‘curecase‘: ‘0‘, ‘deathcase‘: ‘1‘}, {‘date‘: ‘01.15‘, ‘curecase‘: ‘5‘, ‘deathcase‘: ‘2‘}, {‘date‘: ‘01.16‘, ‘curecase‘: ‘8‘, ‘deathcase‘: ‘2‘}, {‘date‘: ‘01.17‘, ‘curecase‘: ‘12‘, ‘deathcase‘: ‘2‘}, {‘date‘: ‘01.18‘, ‘curecase‘: ‘17‘, ‘deathcase‘: ‘3‘}, {‘date‘: ‘01.19‘, ‘curecase‘: ‘18‘, ‘deathcase‘: ‘4‘}, {‘date‘: ‘01.20‘, ‘curecase‘: ‘25‘, ‘deathcase‘: ‘6‘}, {‘date‘: ‘01.21‘, ‘curecase‘: ‘25‘, ‘deathcase‘: ‘9‘}, {‘date‘: ‘01.22‘, ‘curecase‘: ‘25‘, ‘deathcase‘: ‘17‘}, {‘date‘: ‘01.23‘, ‘curecase‘: ‘34‘, ‘deathcase‘: ‘25‘}, {‘date‘: ‘01.24‘, ‘curecase‘: ‘38‘, ‘deathcase‘: ‘41‘}, {‘date‘: ‘01.25‘, ‘curecase‘: ‘49‘, ‘deathcase‘: ‘56‘}, {‘date‘: ‘01.26‘, ‘curecase‘: ‘51‘, ‘deathcase‘: ‘80‘}, {‘date‘: ‘01.27‘, ‘curecase‘: ‘60‘, ‘deathcase‘: ‘106‘}, {‘date‘: ‘01.28‘, ‘curecase‘: ‘103‘, ‘deathcase‘: ‘132‘}, {‘date‘: ‘01.29‘, ‘curecase‘: ‘124‘, ‘deathcase‘: ‘170‘}, {‘date‘: ‘01.30‘, ‘curecase‘: ‘171‘, ‘deathcase‘: ‘213‘}, {‘date‘: ‘01.31‘, ‘curecase‘: ‘243‘, ‘deathcase‘: ‘259‘}, {‘date‘: ‘02.01‘, ‘curecase‘: ‘328‘, ‘deathcase‘: ‘304‘}, {‘date‘: ‘02.02‘, ‘curecase‘: ‘475‘, ‘deathcase‘: ‘361‘}, {‘date‘: ‘02.03‘, ‘curecase‘: ‘632‘, ‘deathcase‘: ‘425‘}, {‘date‘: ‘02.04‘, ‘curecase‘: ‘892‘, ‘deathcase‘: ‘491‘}, {‘date‘: ‘02.05‘, ‘curecase‘: ‘1153‘, ‘deathcase‘: ‘564‘}, {‘date‘: ‘02.06‘, ‘curecase‘: ‘1542‘, ‘deathcase‘: ‘637‘}, {‘date‘: ‘02.07‘, ‘curecase‘: ‘2052‘, ‘deathcase‘: ‘723‘}, {‘date‘: ‘02.08‘, ‘curecase‘: ‘2651‘, ‘deathcase‘: ‘812‘}, {‘date‘: ‘02.09‘, ‘curecase‘: ‘3283‘, ‘deathcase‘: ‘909‘}, {‘date‘: ‘02.10‘, ‘curecase‘: ‘3998‘, ‘deathcase‘: ‘1017‘}, {‘date‘: ‘02.11‘, ‘curecase‘: ‘4742‘, ‘deathcase‘: ‘1114‘}, {‘date‘: ‘02.12‘, ‘curecase‘: ‘5915‘, ‘deathcase‘: ‘1368‘}, {‘date‘: ‘02.13‘, ‘curecase‘: ‘6728‘, ‘deathcase‘: ‘1381‘}, {‘date‘: ‘02.14‘, ‘curecase‘: ‘8101‘, ‘deathcase‘: ‘1524‘}, {‘date‘: ‘02.15‘, ‘curecase‘: ‘9425‘, ‘deathcase‘: ‘1666‘}, {‘date‘: ‘02.16‘, ‘curecase‘: ‘10853‘, ‘deathcase‘: ‘1772‘}, {‘date‘: ‘02.17‘, ‘curecase‘: ‘12561‘, ‘deathcase‘: ‘1870‘}, {‘date‘: ‘02.18‘, ‘curecase‘: ‘14387‘, ‘deathcase‘: ‘2006‘}, {‘date‘: ‘02.19‘, ‘curecase‘: ‘16168‘, ‘deathcase‘: ‘2121‘}, {‘date‘: ‘02.20‘, ‘curecase‘: ‘18277‘, ‘deathcase‘: ‘2239‘}], ‘new_sup_and_toa_trend‘: [{‘date‘: ‘01.20‘, ‘totalcase‘: ‘77‘, ‘suspectcase‘: ‘27‘}, {‘date‘: ‘01.21‘, ‘totalcase‘: ‘149‘, ‘suspectcase‘: ‘53‘}, {‘date‘: ‘01.22‘, ‘totalcase‘: ‘131‘, ‘suspectcase‘: ‘257‘}, {‘date‘: ‘01.23‘, ‘totalcase‘: ‘259‘, ‘suspectcase‘: ‘680‘}, {‘date‘: ‘01.24‘, ‘totalcase‘: ‘444‘, ‘suspectcase‘: ‘1118‘}, {‘date‘: ‘01.25‘, ‘totalcase‘: ‘688‘, ‘suspectcase‘: ‘1309‘}, {‘date‘: ‘01.26‘, ‘totalcase‘: ‘769‘, ‘suspectcase‘: ‘3806‘}, {‘date‘: ‘01.27‘, ‘totalcase‘: ‘1771‘, ‘suspectcase‘: ‘2077‘}, {‘date‘: ‘01.28‘, ‘totalcase‘: ‘1459‘, ‘suspectcase‘: ‘3248‘}, {‘date‘: ‘01.29‘, ‘totalcase‘: ‘1737‘, ‘suspectcase‘: ‘4148‘}, {‘date‘: ‘01.30‘, ‘totalcase‘: ‘1982‘, ‘suspectcase‘: ‘4812‘}, {‘date‘: ‘01.31‘, ‘totalcase‘: ‘2102‘, ‘suspectcase‘: ‘5019‘}, {‘date‘: ‘02.01‘, ‘totalcase‘: ‘2590‘, ‘suspectcase‘: ‘4562‘}, {‘date‘: ‘02.02‘, ‘totalcase‘: ‘2829‘, ‘suspectcase‘: ‘5173‘}, {‘date‘: ‘02.03‘, ‘totalcase‘: ‘3235‘, ‘suspectcase‘: ‘5072‘}, {‘date‘: ‘02.04‘, ‘totalcase‘: ‘3893‘, ‘suspectcase‘: ‘3971‘}, {‘date‘: ‘02.05‘, ‘totalcase‘: ‘3697‘, ‘suspectcase‘: ‘5328‘}, {‘date‘: ‘02.06‘, ‘totalcase‘: ‘3143‘, ‘suspectcase‘: ‘4833‘}, {‘date‘: ‘02.07‘, ‘totalcase‘: ‘3401‘, ‘suspectcase‘: ‘4214‘}, {‘date‘: ‘02.08‘, ‘totalcase‘: ‘2656‘, ‘suspectcase‘: ‘3916‘}, {‘date‘: ‘02.09‘, ‘totalcase‘: ‘3062‘, ‘suspectcase‘: ‘4008‘}, {‘date‘: ‘02.10‘, ‘totalcase‘: ‘2484‘, ‘suspectcase‘: ‘3536‘}, {‘date‘: ‘02.11‘, ‘totalcase‘: ‘2022‘, ‘suspectcase‘: ‘3342‘}, {‘date‘: ‘02.12‘, ‘totalcase‘: ‘15153‘, ‘suspectcase‘: ‘2807‘}, {‘date‘: ‘02.13‘, ‘totalcase‘: ‘5093‘, ‘suspectcase‘: ‘2450‘}, {‘date‘: ‘02.14‘, ‘totalcase‘: ‘2644‘, ‘suspectcase‘: ‘2277‘}, {‘date‘: ‘02.15‘, ‘totalcase‘: ‘2009‘, ‘suspectcase‘: ‘1918‘}, {‘date‘: ‘02.16‘, ‘totalcase‘: ‘2051‘, ‘suspectcase‘: ‘1563‘}, {‘date‘: ‘02.17‘, ‘totalcase‘: ‘1891‘, ‘suspectcase‘: ‘1432‘}, {‘date‘: ‘02.18‘, ‘totalcase‘: ‘1751‘, ‘suspectcase‘: ‘1185‘}, {‘date‘: ‘02.19‘, ‘totalcase‘: ‘399‘, ‘suspectcase‘: ‘1277‘}, {‘date‘: ‘02.20‘, ‘totalcase‘: ‘892‘, ‘suspectcase‘: ‘1614‘}], ‘abroad_nocv_list‘: [{‘name‘: ‘钻石号邮轮‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘634‘, ‘curecase‘: ‘0‘, ‘deathcase‘: ‘2‘}}, {‘name‘: ‘韩国‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘208‘, ‘curecase‘: ‘12‘, ‘deathcase‘: ‘2‘}}, {‘name‘: ‘日本本土‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘103‘, ‘curecase‘: ‘1‘, ‘deathcase‘: ‘1‘}}, {‘name‘: ‘新加坡‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘85‘, ‘curecase‘: ‘37‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘泰国‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘35‘, ‘curecase‘: ‘17‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘马来西亚‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘22‘, ‘curecase‘: ‘15‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘伊朗‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘18‘, ‘curecase‘: ‘0‘, ‘deathcase‘: ‘4‘}}, {‘name‘: ‘澳大利亚‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘17‘, ‘curecase‘: ‘5‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘越南‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘16‘, ‘curecase‘: ‘15‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘德国‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘16‘, ‘curecase‘: ‘7‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘美国‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘15‘, ‘curecase‘: ‘3‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘法国‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘12‘, ‘curecase‘: ‘4‘, ‘deathcase‘: ‘1‘}}, {‘name‘: ‘英国‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘9‘, ‘curecase‘: ‘8‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘阿联酋‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘9‘, ‘curecase‘: ‘4‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘加拿大‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘8‘, ‘curecase‘: ‘3‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘意大利‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘6‘, ‘curecase‘: ‘0‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘菲律宾‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘3‘, ‘curecase‘: ‘1‘, ‘deathcase‘: ‘1‘}}, {‘name‘: ‘印度‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘3‘, ‘curecase‘: ‘3‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘俄罗斯‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘2‘, ‘curecase‘: ‘2‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘西班牙‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘2‘, ‘curecase‘: ‘0‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘比利时‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘1‘, ‘curecase‘: ‘1‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘柬埔寨‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘1‘, ‘curecase‘: ‘1‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘尼泊尔‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘1‘, ‘curecase‘: ‘1‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘芬兰‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘1‘, ‘curecase‘: ‘1‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘斯里兰卡‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘1‘, ‘curecase‘: ‘1‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘以色列‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘1‘, ‘curecase‘: ‘0‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘瑞典‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘1‘, ‘curecase‘: ‘0‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘黎巴嫩‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘1‘, ‘curecase‘: ‘0‘, ‘deathcase‘: ‘0‘}}], ‘domestic_nocv_list‘: [{‘name‘: ‘中国‘, ‘children‘: [{‘name‘: ‘湖北‘, ‘children‘: [{‘name‘: ‘武汉‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘45346‘, ‘curecase‘: ‘6214‘, ‘deathcase‘: ‘1684‘}}, {‘name‘: ‘孝感‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘3427‘, ‘curecase‘: ‘771‘, ‘deathcase‘: ‘94‘}}, {‘name‘: ‘黄冈‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘2883‘, ‘curecase‘: ‘1274‘, ‘deathcase‘: ‘90‘}}, {‘name‘: ‘荆州‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘1560‘, ‘curecase‘: ‘531‘, ‘deathcase‘: ‘40‘}}, {‘name‘: ‘鄂州‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘1373‘, ‘curecase‘: ‘375‘, ‘deathcase‘: ‘39‘}}, {‘name‘: ‘随州‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘1292‘, ‘curecase‘: ‘386‘, ‘deathcase‘: ‘28‘}}, {‘name‘: ‘襄阳‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘1171‘, ‘curecase‘: ‘343‘, ‘deathcase‘: ‘24‘}}, {‘name‘: ‘黄石‘, ‘total‘: 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‘totalcase‘: ‘3‘, ‘curecase‘: ‘1‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘红桥区‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘2‘, ‘curecase‘: ‘2‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘武清区‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘2‘, ‘curecase‘: ‘1‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘津南区‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘1‘, ‘curecase‘: ‘1‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘地区待确认‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘0‘, ‘curecase‘: ‘3‘, ‘deathcase‘: ‘3‘}}], ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘132‘, ‘curecase‘: ‘62‘, ‘deathcase‘: ‘3‘}}, {‘name‘: ‘山西‘, ‘children‘: [{‘name‘: ‘晋中‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘36‘, ‘curecase‘: ‘21‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘太原‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘20‘, ‘curecase‘: ‘12‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘运城‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘19‘, ‘curecase‘: ‘16‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘大同‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘12‘, ‘curecase‘: ‘6‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘晋城‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘10‘, ‘curecase‘: ‘3‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘长治‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘8‘, ‘curecase‘: ‘2‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘朔州‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘8‘, ‘curecase‘: ‘3‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘忻州‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘7‘, ‘curecase‘: ‘4‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘吕梁‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘6‘, ‘curecase‘: ‘6‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘阳泉‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘4‘, ‘curecase‘: ‘2‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘临汾‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘2‘, ‘curecase‘: ‘1‘, ‘deathcase‘: ‘0‘}}], ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘132‘, ‘curecase‘: ‘76‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘辽宁‘, ‘children‘: [{‘name‘: ‘沈阳‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘28‘, ‘curecase‘: ‘11‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘大连‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘19‘, ‘curecase‘: ‘9‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘葫芦岛‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘12‘, ‘curecase‘: ‘5‘, ‘deathcase‘: ‘1‘}}, {‘name‘: ‘锦州‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘12‘, ‘curecase‘: ‘8‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘盘锦‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘11‘, ‘curecase‘: ‘5‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘阜新‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘8‘, ‘curecase‘: ‘6‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘铁岭‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘7‘, ‘curecase‘: ‘2‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘丹东‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘7‘, ‘curecase‘: ‘5‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘朝阳市‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘6‘, ‘curecase‘: ‘3‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘鞍山‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘4‘, ‘curecase‘: ‘0‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘辽阳‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘3‘, ‘curecase‘: ‘3‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘本溪‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘3‘, ‘curecase‘: ‘3‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘营口‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘1‘, ‘curecase‘: ‘1‘, ‘deathcase‘: ‘0‘}}], ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘121‘, ‘curecase‘: ‘61‘, ‘deathcase‘: ‘1‘}}, {‘name‘: ‘吉林‘, ‘children‘: [{‘name‘: ‘长春‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘45‘, ‘curecase‘: ‘21‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘四平‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘15‘, ‘curecase‘: ‘8‘, ‘deathcase‘: ‘1‘}}, {‘name‘: ‘辽源‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘7‘, ‘curecase‘: ‘1‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘公主岭‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘6‘, ‘curecase‘: ‘2‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘吉林‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘5‘, ‘curecase‘: ‘4‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘延边‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘5‘, ‘curecase‘: ‘4‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘通化‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘4‘, ‘curecase‘: ‘1‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘松原‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘2‘, ‘curecase‘: ‘2‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘梅河口市‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘1‘, ‘curecase‘: ‘1‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘白城‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘1‘, ‘curecase‘: ‘0‘, ‘deathcase‘: ‘0‘}}], ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘91‘, ‘curecase‘: ‘44‘, ‘deathcase‘: ‘1‘}}, {‘name‘: ‘甘肃‘, ‘children‘: [{‘name‘: ‘兰州‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘36‘, ‘curecase‘: ‘29‘, ‘deathcase‘: ‘2‘}}, {‘name‘: ‘天水‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘12‘, ‘curecase‘: ‘12‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘平凉‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘9‘, ‘curecase‘: ‘6‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘定西‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘9‘, ‘curecase‘: ‘8‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘甘南州‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘8‘, ‘curecase‘: ‘6‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘陇南‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘4‘, ‘curecase‘: ‘4‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘白银‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘4‘, ‘curecase‘: ‘3‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘庆阳‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘3‘, ‘curecase‘: ‘2‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘临夏‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘3‘, ‘curecase‘: ‘3‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘张掖‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘2‘, ‘curecase‘: ‘2‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘金昌‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘1‘, ‘curecase‘: ‘1‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘地区待确认‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘0‘, ‘curecase‘: ‘0‘, ‘deathcase‘: ‘0‘}}], ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘91‘, ‘curecase‘: ‘76‘, ‘deathcase‘: ‘2‘}}, {‘name‘: ‘新疆‘, ‘children‘: [{‘name‘: ‘乌鲁木齐‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘23‘, ‘curecase‘: ‘10‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘伊犁州‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘18‘, ‘curecase‘: ‘6‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘兵团第四师‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘10‘, ‘curecase‘: ‘0‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘昌吉州‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘4‘, ‘curecase‘: ‘2‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘兵团第九师‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘4‘, ‘curecase‘: ‘0‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘第八师石河子‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘4‘, ‘curecase‘: ‘1‘, ‘deathcase‘: ‘1‘}}, {‘name‘: ‘兵团第十二师‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘3‘, ‘curecase‘: ‘0‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘巴州‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘3‘, ‘curecase‘: ‘0‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘吐鲁番‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘3‘, ‘curecase‘: ‘1‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘六师五家渠‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘2‘, ‘curecase‘: ‘0‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘第七师‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘1‘, ‘curecase‘: ‘1‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘阿克苏‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘1‘, ‘curecase‘: ‘1‘, ‘deathcase‘: ‘0‘}}], ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘76‘, ‘curecase‘: ‘22‘, ‘deathcase‘: ‘1‘}}, {‘name‘: ‘内蒙古‘, ‘children‘: [{‘name‘: ‘包头‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘11‘, ‘curecase‘: ‘2‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘鄂尔多斯‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘11‘, ‘curecase‘: ‘5‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘赤峰‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘9‘, ‘curecase‘: ‘3‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘锡林郭勒‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘9‘, ‘curecase‘: ‘1‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘巴彦淖尔‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘8‘, ‘curecase‘: ‘0‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘呼伦贝尔‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘7‘, ‘curecase‘: ‘2‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘呼和浩特‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘7‘, ‘curecase‘: ‘2‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘通辽‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘7‘, ‘curecase‘: ‘0‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘乌兰察布‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘3‘, ‘curecase‘: ‘1‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘乌海‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘2‘, ‘curecase‘: ‘0‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘兴安盟乌兰浩特‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘1‘, ‘curecase‘: ‘0‘, ‘deathcase‘: ‘0‘}}], ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘75‘, ‘curecase‘: ‘16‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘宁夏‘, ‘children‘: [{‘name‘: ‘银川‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘33‘, ‘curecase‘: ‘27‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘吴忠‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘28‘, ‘curecase‘: ‘9‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘固原‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘5‘, ‘curecase‘: ‘3‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘中卫‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘3‘, ‘curecase‘: ‘3‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘石嘴山‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘1‘, ‘curecase‘: ‘1‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘宁东管委会‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘1‘, ‘curecase‘: ‘1‘, ‘deathcase‘: ‘0‘}}], ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘71‘, ‘curecase‘: ‘44‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘香港‘, ‘children‘: [{‘name‘: ‘地区待确认‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘68‘, ‘curecase‘: ‘5‘, ‘deathcase‘: ‘2‘}}], ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘68‘, ‘curecase‘: ‘5‘, ‘deathcase‘: ‘2‘}}, {‘name‘: ‘台湾‘, ‘children‘: [{‘name‘: ‘地区待确认‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘26‘, ‘curecase‘: ‘2‘, ‘deathcase‘: ‘1‘}}], ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘26‘, ‘curecase‘: ‘2‘, ‘deathcase‘: ‘1‘}}, {‘name‘: ‘青海‘, ‘children‘: [{‘name‘: ‘西宁‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘15‘, ‘curecase‘: ‘15‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘海北州‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘3‘, ‘curecase‘: ‘3‘, ‘deathcase‘: ‘0‘}}], ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘18‘, ‘curecase‘: ‘18‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘澳门‘, ‘children‘: [{‘name‘: ‘地区待确认‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘10‘, ‘curecase‘: ‘6‘, ‘deathcase‘: ‘0‘}}], ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘10‘, ‘curecase‘: ‘6‘, ‘deathcase‘: ‘0‘}}, {‘name‘: ‘西藏‘, ‘children‘: [{‘name‘: ‘地区待确认‘, ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘1‘, ‘curecase‘: ‘1‘, ‘deathcase‘: ‘0‘}}], ‘total‘: {‘suspectcase‘: ‘0‘, ‘totalcase‘: ‘1‘, ‘curecase‘: ‘1‘, ‘deathcase‘: ‘0‘}}], ‘total‘: {‘suspectcase‘: ‘5206‘, ‘totalcase‘: ‘75997‘, ‘curecase‘: ‘18411‘, ‘deathcase‘: ‘2239‘}}], ‘share_url_info‘: {‘outside_url‘: ‘https://event.myzaker.com/h/2019ncov/share.php?&province=-1&city=-1&isChina=1‘, ‘inside_url‘: ‘zkopenthirdapp://?_zkcmd=open_type&iphone_cmd_arg=%7B%22open_type%22%3A%22web%22%2C%22web_url%22%3A%22https%3A%5C%2F%5C%2Fevent.myzaker.com%5C%2Fh%5C%2F2019ncov%5C%2Fshare.php%3Fneed_user_info%3DY%26isCapture%3DY%26province%3D-1%26city%3D-1%26isChina%3D1%22%2C%22need_user_info%22%3A%22Y%22%7D&androidphone_cmd_arg=%7B%22open_type%22%3A%22web%22%2C%22web_url%22%3A%22https%3A%5C%2F%5C%2Fevent.myzaker.com%5C%2Fh%5C%2F2019ncov%5C%2Fshare.php%3Fneed_user_info%3DY%26isCapture%3DY%26province%3D-1%26city%3D-1%26isChina%3D1%22%2C%22need_user_info%22%3A%22Y%22%7D‘}}}
View Code

#将数据导出到新创建的字典当中以便提取地区:

1 python_datas = data[data][ncov_national_map]
2 #print(python_datas)
3 dic_data = {}
4 for data in python_datas:
5     dic_data[data[name]]=data[value]

提取数据的工作就做完了,剩下的是封装与调整程序的工作

#创建关于全部数据提取的函数

1 def all_city():
2     n = 0
3     for k,v in dic_data.items():
4         n = n + int(v)
5         print(地区:,k.center(6),人数,v.center(6))
6     print(全国患者共{}人.format(n))

#创建单个地区数据提取的函数

1 def city_data():
2     city = input(请输入你想查询的省份:)
3     print(你所查询的地区为:{0:}确诊人数位:{1}.format(city.center(6),dic_data[city].center(6)))

#创建退出程序函数

1 def out_data():
2     print(我们一定能成功!加油!)
3     print(I Love You! Fighting! )

 

然后进行数据分析:

#利用pandas库创建csv文件便于数据加载

1 city = []
2 numb = []
3 for citydata in python_datas:
4     city.append(citydata[name])
5     numb.append(citydata[value])
6 china_info = pd.DataFrame({city: city, number:numb})

#再将生成的china_info创建为数据可视化地图,并创建函数方便调用

#生成可视化地图
def map():
    china_map = (
        Map()
            .add(‘‘, [list(z) for z in zip(china_info.city, china_info.number)], china)
            .set_series_opts(label_opts=opts.LabelOpts(is_show=False))
            .set_global_opts(
            # 标题
            title_opts=opts.TitleOpts(title="中国地图疫情分布图"),
            tooltip_opts=opts.TooltipOpts(formatter={b}: {c}),
            # 视觉效果
            visualmap_opts=opts.VisualMapOpts(is_piecewise=True,
                                              pieces=[
                                                  {min: 20001, label: >20000, "color": "#893448"},
                                                  {min: 1000, max: 20000, label: 1000-20000,
                                                   "color": "#ff585e"},
                                                  {min: 500, max: 999, label: 500-999, "color": "#ffb248"},
                                                  {min: 100, max: 499, label: 100-499, "color": "#ffb248"},
                                                  {min: 1, max: 99, label: 1-99, "color": "#fff2d1"}
                                              ]),
        )
    )
    china_map.render(map.html)

生成效果图为:

技术图片

 

 

最后对创建的函数进行汇总整合,让数据整体更加可观:

while True:
    print(= * 19, 实时疫情查询系统, = * 20)
    print({} {:15} {:13} .format( , 1. 显示全部数据, 2. 单独查询地区))
    print({:1} {:15} {:13}.format( , 3. 生成疫情地图, 4. 退出系统))
    num = int(input(请选择你所需要的序号(1,2,3,4):))
    if num == 1:
        all_city()
    elif num == 2:
        city_data()
    elif num == 3:
        map()
        print("成功生成HTML地图文件")
    elif num == 4 :
        out_data()
        break
    else:
        print(请输入正确的序号)

 

 

效果图:

技术图片

 

 

 

大功告成!万事大吉!

 

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