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import requests????? # 發(fā)送網(wǎng)絡請求模塊

import json

import pprint??????? # 格式化輸出模塊

import pandas as pd? # 數(shù)據(jù)分析當中一個非常重要的模塊

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url = 'https://view.inews.qq.com/g2/getOnsInfo?name=disease_h5&_=1638361138568'

response = requests.get(url, verify=False)

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json_data = response.json()['data']

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json_data = json.loads(json_data)

china_data = json_data['areaTree'][0]['children'] # 列表

data_set = []

for i in china_data:

????data_dict = {}

????# 地區(qū)名稱

????data_dict['province'] = i['name']

????# 新增確認

????data_dict['nowConfirm'] = i['total']['nowConfirm']

????# 死亡人數(shù)

????data_dict['dead'] = i['total']['dead']

????# 治愈人數(shù)

????data_dict['heal'] = i['total']['heal']

????# 死亡率

????data_dict['deadRate'] = i['total']['deadRate']

????# 治愈率

????data_dict['healRate'] = i['total']['healRate']

????data_set.append(data_dict)

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df = pd.DataFrame(data_set)

df.to_csv('data.csv')

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from pyecharts import options as opts

from pyecharts.charts import Bar,Line,Pie,Map,Grid

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df2 = df.sort_values(by=['nowConfirm'],ascending=False)[:9]

df2

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line = (

????Line()

????.add_xaxis(list(df['province'].values))

????.add_yaxis("治愈率", df['healRate'].values.tolist())

????.add_yaxis("死亡率", df['deadRate'].values.tolist())

????.set_global_opts(

????????title_opts=opts.TitleOpts(title="死亡率與治愈率"),

????)

)

line.render_notebook()

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bar = (

????Bar()

????.add_xaxis(list(df['province'].values)[:6])

????.add_yaxis("死亡", df['dead'].values.tolist()[:6])

????.add_yaxis("治愈", df['heal'].values.tolist()[:6])

????.set_global_opts(

????????title_opts=opts.TitleOpts(title="各地區(qū)確診人數(shù)與死亡人數(shù)情況"),

????????datazoom_opts=[opts.DataZoomOpts()],

????????)

)

bar.render_notebook()