爬取新冠肺炎疫情地图数据，pyecharts绘制地理分布图 爬取新冠肺炎疫情地图数据， 绘制地理分布图 效果预览 效果预览 爬取最新截止日期各个省累计确诊数据，并绘制地理分布图 代码实现 代码实现 #!/usr/bin/env python # -*- coding: utf-8 -*- import json import requests #装了anaconda的可以pip install pyecharts安装pyecharts from pyecharts.charts import Map,Geo from pyecharts import options as opts from pyecharts.globals import GeoType,RenderType # 绘图包参加网址https://pyecharts.org/#/zh-cn/geography_charts url="https://view.inews.qq.com/g2/getOnsInfo?name=disease_h5" resp=requests.get(url) html=resp.json() data=json.loads(html["data"]) print(data["lastUpdateTime"]) 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) data=[] for i in range(len(china)): data.append([china[i]["name"], china[i]["total"]["confirm"]]) print(data) geo=Geo(init_opts=opts.InitOpts(width="1200px",height="600px",bg_color="#404a59",page_title="全国疫情实时报告",renderer=RenderType.SVG,theme="white")) geo.add_schema(maptype="china",itemstyle_opts=opts.ItemStyleOpts(color="rgb(49,60,72)",border_color="rgb(0,0,0")) geo.add("geo", data_pair=data, type_=GeoType.EFFECT_SCATTER) geo.set_series_opts(label_opts=opts.LabelOpts(is_show=False),effect_opts=opts.EffectOpts(scale=6)) geo.set_global_opts(visualmap_opts=opts.VisualMapOpts(min_=0,max_=349),title_opts=opts.TitleOpts(title="全国疫情地图",subtitle=china_total,pos_left="center",pos_top="10px")) geo.render("render.html")#保存地理分布图 武汉加油！湖北加油！中国加油！ 武汉加油！湖北加油！中国加油！ 作者：FLYING TARDIS