大蟒蛇python教程共享Python爬虫爬取疫情数据并可视化展示

目录

• 知识点
• 开发环境
• 爬虫完整代码
• 导入模块
• 分析网站
• 发送请求
• 获取数据
• 解析数据
• 保存数据
• 数据可视化
• 导入模块
• 读取数据
• 死亡率与治愈率
• 各地区确诊人数与死亡人数情况

  import requests      # 发送网络请求模块  import json  import pprint        # 格式化输出模块  import pandas as pd  # 数据分析当中一个非常重要的模块

  url = 'https://view.inews.qq.com/g2/getonsinfo?name=disease_h5&_=1638361138568'  response = requests.get(url, verify=false)

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

  json_data = json.loads(json_data)  china_data = json_data['areatree'][0]['children'] # 列表  data_set = []  for i in china_data:      data_dict = {}      # 地区名称      data_dict['province'] = i['name']      # 新增确认      data_dict['nowconfirm'] = i['total']['nowconfirm']      # 死亡人数      data_dict['dead'] = i['total']['dead']      # 治愈人数      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)

  df = pd.dataframe(data_set)  df.to_csv('data.csv')

  from pyecharts import options as opts  from pyecharts.charts import bar,line,pie,map,grid

  df2 = df.sort_values(by=['nowconfirm'],ascending=false)[:9]  df2

  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="死亡率与治愈率"),        )  )  line.render_notebook()

  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="各地区确诊人数与死亡人数情况"),          datazoom_opts=[opts.datazoomopts()],          )  )  bar.render_notebook()