Python爬虫——疫情地图

import requests
import  json
from pyecharts import Map
from lxml import etree
class S:
    def __init__(self):
        self.headers={
            "User-Agent" :"Mozilla / 5.0(iPhone;CPUiPhoneOS11_0likeMacOSX) AppleWebKit / 604.1.38(KHTML, likeGecko) Version / 11.0Mobile / 15A372Safari / 604.1"
        }
        self.url = "https://ncov.dxy.cn/ncovh5/view/pneumonia_peopleapp"
    def parse_url(self):
        r = requests.get(url=self.url,headers=self.headers)
        assert r.status_code==200
        html = etree.HTML(r.content.decode( ))
        results=html.xpath('//*[@id="getListByCountryTypeService1"]//text()')[0].split('}')[:-3]
        return results
    def getDaraList(self,results):
        data_list = []
        for result in results:

            data_dict={}
            if results.index(result)==0:
                result = result.replace('try { window.getListByCountryTypeService1 = [','')
            result =json.loads(result.lstrip(',')+'}')
            data_dict["provinceShortName"]=result["provinceShortName"]
            data_dict["confirmedCount"]=result["confirmedCount"]
            data_dict["deadCount"]=result["deadCount"]
            data_dict["curedCount"]=result["curedCount"]
            data_list.append(data_dict)
        return data_list

        return data_list
    def main(self):
        results = self.parse_url()
        data_list = self.getDaraList(results)
        return data_list



S=S()
data_list = S.main()


provinceShortName_list=[]
confirmedCount_list=[]
deadCount_list=[]
curedCount_list=[]
for i in data_list:
    provinceShortName_list.append(i['provinceShortName'])
    confirmedCount_list.append(i['confirmedCount'])
    deadCount_list.append(i["deadCount"])
    curedCount_list.append(i["curedCount"])

map = Map("中国疫情分布图",'',width=1980,height=1024,title_pos="center")
map.add("",provinceShortName_list,confirmedCount_list,visual_range=[0, 1000],maptype="china",is_visualmap=True,
        visual_text_color="#000" , is_label_show=True)
map.show_config()
map.render(path="./中国疫情图.html")
Python爬虫——疫情地图Python爬虫——疫情地图 (๑• . •๑)框 发布了35 篇原创文章 · 获赞 2 · 访问量 311 私信 关注
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