Python 疫情数据可视化_pyecharts

得意时要看淡,失意时要看开。不论得意失意,切莫大意;不论成功失败,切莫止步。志得意满时,需要的是淡然,给自己留一条退路;失意落魄时,需要的是泰然,给自己觅一条出路Python 疫情数据可视化_pyecharts,希望对大家有帮助,欢迎收藏,转发!站点地址:www.bmabk.com,来源:原文

# !/usr/bin/env python3
# -*- coding: UTF-8 -*-
"""
@des     : 

"""
from pyecharts.charts import Map
import json


with open("./data.json","r",encoding="utf-8")as fp:
    res = fp.read()

response = json.loads(res)
existingDiagnosis_lis = []
area_lis = []
for i in response["component"]:
    for j in i["caseList"]:
        addLocal = j["confirmedRelative"]
        addedNativeAsymptomatic = j["asymptomaticRelative"]
        newlyDiagnosed = j["confirmedRelative"]
        existingDiagnosis = j["curConfirm"]
        cumulativeDiagnosis = j["confirmed"]
        cumulativeCure = j["crued"]
        cumulativeDeath = j["died"]
        area = j["area"]
        print("area=",area)
        existingDiagnosis_lis.append("".join(existingDiagnosis))
        area_lis.append("".join(area))
    show_in_map = area_existingDiagnosis =[list(z) for z in zip(area_lis,existingDiagnosis_lis)]
    print(show_in_map)
    c = (
        Map()
        .add(
            "疫情地图_现有确诊",show_in_map
        )
    )
    c.render("疫情地图_现有确诊.html")




数据在这爬的:https://voice.baidu.com/act/newpneumonia/newpneumonia/?from=osari_aladin_banner&city=%E8%A5%BF%E8%97%8F-%E8%A5%BF%E8%97%8F

v!v](https://img-blog.csdnimg.cn/fa8838163a4240fe8806e1d823713656.png)

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