用pyEcharts进行可视化

导入相应的包

from pyecharts import options as opts
from pyecharts.charts import Map
import requests, json

获取相应的疫情信息

如何爬取信息以及相应信息的含义的讲解可以参看我的另一篇文章《肺炎疫情数据爬取》，变量的定义也保持了一致，这里不再赘述。

url = 'https://view.inews.qq.com/g2/getOnsInfo?name=disease_h5'
area = requests.get(url).json()
data = json.loads(area['data'])

# 全球的疫情数量
all_counties = data['areaTree']

数据分组

list = []
all_provinces = all_counties[0]['children']
for i in range(len(all_provinces)):
    city_name = all_provinces[i]
    list.append((city_name['name'],city_name['total']['confirm']))

可视化

pyecharts 是一个用于生成 Echarts 图表的类库。Echarts 是百度开源的一个数据可视化 JS 库。个人非常推荐使用pyechats进行可视化。

pyecharts快速入门可以参考这个网站

c = (
    Map()
    .add(" ",list,"china")
    .set_global_opts(title_opts = opts.TitleOpts(title = "中国肺炎确诊分布图"),
    visualmap_opts=opts.VisualMapOpts(  
        is_piecewise=True,  # 设置为分段
        pieces=[
        {"max":9, "min":1, "label": "1-9人"},
        {"max":99, "min":10, "label": "10-99人"},
        {"max":499, "min":100, "label": "100-499人"},
        {"max":999, "min":500, "label": "500-999人"},
        {"max":9999, "min":1000, "label": "1000-9999人"},
        {"max":99999, "min":10000, "label": "10000人以上"},
        ])
        )
    )

# c.render('map.html')
c.render_notebook() # 随时随地渲染图表

结果展示

完整代码

from pyecharts import options as opts
from pyecharts.charts import Map
import requests, json


def get_data():
    url = 'https://view.inews.qq.com/g2/getOnsInfo?name=disease_h5'
    area = requests.get(url).json()
    data = json.loads(area['data'])
    all_counties = data['areaTree']
    list = []
    all_provinces = all_counties[0]['children']
    for i in range(len(all_provinces)):
        city_name = all_provinces[i]
        list.append((city_name['name'],city_name['total']['confirm']))
    

def visualize():    
    c = (
        Map()
        .add(" ",list,"china")
        .set_global_opts(title_opts = opts.TitleOpts(title = "中国肺炎确诊分布图"),
        visualmap_opts=opts.VisualMapOpts(  
            is_piecewise=True,  # 设置为分段
            pieces=[
            {"max":9, "min":1, "label": "1-9人"},
            {"max":99, "min":10, "label": "10-99人"},
            {"max":499, "min":100, "label": "100-499人"},
            {"max":999, "min":500, "label": "500-999人"},
            {"max":9999, "min":1000, "label": "1000-9999人"},
            {"max":99999, "min":10000, "label": "10000人以上"},
            ])
            )
        )
    c.render('map.html')
    
def main():
    get_data()
    visualize()
    
    
if __name__ == '__main__':
    main()