查询各个省份、城市最新新冠肺炎疫情数据可视化

爬取网站：丁香园
数据来源：中国国家卫生健康委员会

上效果！

首先我们按照省份查询新型肺炎的情况

我们再输入城市进行查找

一.按省份查询疫情

1.爬取数据

import requests
import re
import pandas as pd
### 发送请求，获取信息
url = 'https://3g.dxy.cn/newh5/view/pneumonia?scene=2&clicktime=1579582238&enterid=1579582238&from=timeline&isappinstalled=0'
res = requests.get(url)
res.encoding = 'utf-8'
pat0 = re.compile('window.getAreaStat = ([\s\S]*?)')
data_list = pat0.findall(res.text)
data = data_list[0].replace('}catch(e){}','')
data = eval(data)
data

2.解析数据

provinceShortNames = ''
currentConfirmedCounts = []
confirmedCounts = []
curedCounts = []
deadCounts = []

my_data = {}

for i in data:
    my_data[i['provinceShortName']] = [i['currentConfirmedCount'],i['confirmedCount'],i['curedCount'],i['deadCount']]
print(my_data)
pd.DataFrame(my_data,index=['现存确诊','累计确诊','累计治愈','累计死亡'])

3.输出结果

i = 0
select = input('请输入查询省份：')
while i  <=0:
    if i ==-1:
        select = input('请输入查询省份：')
    try:
        print("\n\033[1;31;48m现存确诊：%d\033[0m"%my_data[select][0])
        print("\033[1;33;48m累计确诊：%d\033[0m"%my_data[select][1])
        print("\033[1;32;48m累计治愈：%d\033[0m"%my_data[select][2])
        print("\033[1;30;48m累计死亡：%d\033[0m"%my_data[select][3])
        i = 1
    except:
        print('没有该省份，请检查您的输入！')
        i = -1

效果见第一张gif图。

二.按城市查询疫情

1.解析数据（数据相同，直接进行解析）

cityName = ''
currentConfirmedCounts = []
confirmedCounts = []
curedCounts = []
deadCounts = []
my_city = {}
for i in range(len(data)):
    for j in data[i]['cities']:
        my_city[j['cityName']] = [j['currentConfirmedCount'],j['confirmedCount'],j['curedCount'],j['deadCount']]
# print(my_city)
pd.DataFrame(my_city,index=['现存确诊','累计确诊','累计治愈','累计死亡'])

2.输出结果

i = 0
select = input('请输入查询省份：')
while i  <=0:
    if i ==-1:
        select = input('请输入查询省份：')
    try:
        print("\n\033[1;31;48m现存确诊：%d\033[0m"%my_city[select][0])
        print("\033[1;33;48m累计确诊：%d\033[0m"%my_city[select][1])
        print("\033[1;32;48m累计治愈：%d\033[0m"%my_city[select][2])
        print("\033[1;30;48m累计死亡：%d\033[0m"%my_city[select][3])
        i = 1
    except:
        print('没有该省份，请检查您的输入！')
        i = -1

效果见第二张gif图。

三.爬取可视化图片

from IPython.core.interactiveshell import InteractiveShell
InteractiveShell.ast_node_interactivity='all'
# 输入上面代码，才能让Jupyter notebook 打印多个结果，否则只会打印最后一个结果过
from IPython.display import Image
import requests

url_1 = 'https://img1.dxycdn.com/2020/0310/514/3401205765200198356-135.png'      #确诊
url_2 = 'https://img1.dxycdn.com/2020/0310/254/3401205861837225508-135.png'      #治愈
url_3 = 'https://img1.dxycdn.com/2020/0310/007/3401205836067162687-135.png'      #疑似
url_4 = 'https://img1.dxycdn.com/2020/0310/736/3401205876869612045-135.png'      #死亡


response_1 = requests.get(url_1)
result_1 = response_1.content

response_2 = requests.get(url_2)
result_2 = response_2.content

response_3 = requests.get(url_3)
result_3 = response_3.content

response_4 = requests.get(url_4)
result_4 = response_4.content
with open('现存确诊.jpg','wb') as f:
    f.write(result_1)
with open('治愈病例.jpg','wb') as f:
    f.write(result_2)
with open('现存疑似.jpg','wb') as f:
    f.write(result_3)
with open('死亡病例.jpg','wb') as f:
    f.write(result_4)

Image(filename = "现存确诊.jpg", width=400, height=160)
Image(filename = "治愈病例.jpg", width=400, height=160)
Image(filename = "现存疑似.jpg", width=400, height=160)
Image(filename = "死亡病例.jpg", width=400, height=160)

中国加油!

笔记：
1.将整个视频转换成GIF，使用命令：
     ffmpeg -i small.mp4 small.gif
2.输入下面代码，才能让Jupyter notebook 打印多个结果，
  否则只会打印最后一个结果过
  from IPython.core.interactiveshell import InteractiveShell
  InteractiveShell.ast_node_interactivity='all'
  from IPython.display import Image

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