一、获得疫情数据

1.从网站查找相关信息

打开网页，找到地图
https://news.qq.com//zt2020/page/feiyan.htm
从右上角： 工具—开发人员工具

找到代码所在URL

打开PyCharm，编写代码，获取全国各地确诊数

import json
import requests

#1.目标网址
url = 'https://view.inews.qq.com/g2/getOnsInfo?name=disease_h5'
#2.模拟浏览器实现访问url
data = json.loads(requests.get(url).json()['data'])
#3.从网页源代码提取数据
china = data['areaTree'][0]['children']
#print(china)
china_total = "确诊:" + str(data['chinaTotal']['confirm']) + \
              "疑似:" + str(data['chinaTotal']['suspect']) + \
              "死亡:" + str(data['chinaTotal']['dead']) + \
              "治愈:" + str(data['chinaTotal']['heal']) + \
              "更新日期:" + data['lastUpdateTime']
#print(china_total)
info = []
for i in range(len(china)):
    info.append([china[i]['name'],china[i]['total']['confirm']])
print(info)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20

代码结果：

[['湖北', 64084], ['广东', 1342], ['河南', 1271], ['浙江', 1205], ['湖南', 1016], ['安徽', 989], ['江西', 934], ['山东', 754], ['江苏', 631], ['重庆', 573], ['四川', 526], ['黑龙江', 480], ['北京', 399], ['上海', 335], ['河北', 311], ['福建', 293], ['广西', 249], ['陕西', 245], ['云南', 174], ['海南', 168], ['贵州', 146], ['天津', 135], ['山西', 132], ['辽宁', 121], ['甘肃', 91], ['吉林', 91], ['新疆', 76], ['内蒙古', 75], ['香港', 74], ['宁夏', 71], ['台湾', 28], ['青海', 18], ['澳门', 10], ['西藏', 1]]
1

二、绘制疫情曲线

导入地理图表绘制的包

from pyecharts.charts import Map,Geo
from pyecharts import options as opts
from pyecharts.globals import GeoType,RenderType
1
2
3

关于包的详细信息可查询官网：
https://pyecharts.org/#/zh-cn/intro

参考包中相应代码，绘制疫情地图

geo = Geo(init_opts=opts.InitOpts(width="1200px",height="600px",bg_color="#404a59",page_title="全国疫情实时报告"))
geo.add_schema(maptype="china",itemstyle_opts=opts.ItemStyleOpts(color="rgb(49,69,72)",border_color="rgb(0,0,0)"))
geo.add( series_name = "geo", data_pair = info,type_=GeoType.EFFECT_SCATTER)
geo.set_series_opts(label_opts=opts.LabelOpts(is_show=False))
geo.set_global_opts(visualmap_opts=opts.VisualMapOpts(min_=0,max_=349),title_opts=opts.TitleOpts(title="全国疫情地图"))
geo.render("render.html")
1
2
3
4
5
6

地图绘制如下：