Python笔记：爬虫制作“我国疫情累计确诊人数分布图”

代码：

import requests
from pyecharts.charts import *
from pyecharts import options as opts

url = "https://lab.isaaclin.cn/nCoV/api/area"
data = requests.get(url).json()
province_data = []
for item in data["results"]:
    if item["countryName"] == "中国":
        province_data.append((item["provinceShortName"], item["confirmedCount"]))
china_map = (
        Map(init_opts=opts.InitOpts(theme = "dark"))
        .add("确诊人数", province_data, "china",is_map_symbol_show=False,  is_roam=False)
        .set_series_opts(label_opts=opts.LabelOpts(is_show = True, color = "#ffffff"))
        .set_global_opts(
            title_opts=opts.TitleOpts(title="我国疫情累计确诊人数分布图nnttttt作者：哈佛在等我呢~"),
            legend_opts=opts.LegendOpts(is_show = False),
            visualmap_opts=opts.VisualMapOpts(max_ = 2000,
                                              is_piecewise = True,
                                              pieces=[
                                                  {"max": 99999, "min": 10000, "label": "10000-99999人", "color": "#0085c3"},
                                                  {"max": 9999, "min": 1000, "label": "1000-9999人", "color": "#B40404"},
                                                  {"max": 999, "min": 500, "label": "500-999人", "color": "#DF0101"},
                                                  {"max": 499, "min": 100, "label": "100-499人", "color": "#F78181"},
                                                  {"max": 99, "min": 10, "label": "10-99人", "color": "#F5A9A9"},
                                                  {"max": 9, "min": 0, "label": "1-9人", "color": "#FFFFCC"},
                                              ])
        )
)
# china_map.render(path='中国疫情地图.html')
china_map.render_notebook()

运行结果：

来源：oschina

链接：https://my.oschina.net/u/3750423/blog/4293068