Numpy、Pandas 实战（一）

爬取美国肺炎疫情  url = https://coronavirus.1point3acres.com/zh

代码如下：（Jupyter Notebook）

import re,json
import requests
import pandas as pd

url = 'https://coronavirus.1point3acres.com/_next/static/chunks/858271f81a54c4a12bd9f8d541482a95960c3031.f6d0ebde501d7c08cace.js'
headers = {'User-Agent': "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/72.0.3626.121 Safari/537.36",
          "referer":"coronavirus.1point3acres.com"}
res = requests.get(url,headers=headers).text
#data = re.findall(r"provinceShortName(.+?)curedCount",res)
data = re.findall(r"provinceShortName(.+?deadCount.....)",res)
df = pd.DataFrame(columns= ['Location','Confirmed','Cure','Dead'])
for i in range(len(data)):
    a = '{"s' + data[i]
    a = a[0:-2]
    a = a + "}"
    a = eval(a)
    Loaction = a['provinceName']
    Confirmed = a['confirmedCount']
    Cure = a['curedCount']
    Dead = a['deadCount']
    df.loc[i] = [Loaction,Confirmed,Cure,Dead]
# df
df.to_excel('American_4_5_2.xlsx')



import matplotlib.pyplot as plt

#设置图片大小
plt.figure(figsize=(30,10),dpi =500)
#画图
plt.plot(df.Location,df.Confirmed,'b.-')
#设置x轴的刻度大小
plt.xticks(df.Location,rotation=90)
#添加标题等信息
plt.xlabel("Location")
plt.ylabel("Confirmed Numbers")
plt.title("USA")
plt.show()

 此次的实战感谢博主  参考链接：https://blog.csdn.net/weixin_41846769/article/details/105193754