GET/README.md

# GET
import requests
from lxml import etree
import csv
import pandas
import matplotlib.pyplot as plt
import numpy as np

url=”https://www.bitpush.news/covid19/"
headers = {
    “user-agent”: “Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/95.0.4638.69 Safari/537.36”
}
response=requests.get(url,headers=headers)
html=response.text
parse=etree.HTMLParser(encoding=’utf-8’)
doc=etree.HTML(html)
country=doc.xpath(‘(//div[@class=”table_container”])[2]//tbody/tr/td/span/text()’)
person=doc.xpath(‘(//div[@class=”table_container”])[2]//tbody/tr/td[2]/text()’)
death=doc.xpath(‘(//div[@class=”table_container”])[2]//tbody/tr/td[3]/text()’)
person=[x.replace(“,”,””) for x in person]
death=[x.replace(“,”,””) for x in death]
message=list(zip(country,person,death))
with open(“content.csv”,”w”,encoding=’utf-8-sig’) as f:
    w=csv.writer(f)
    w.writerows(message)
df=pandas.read_csv(“content.csv”,names=[“country”,”person”,”death”])
df.head()
df.info()
df1=df.drop(0).head(15)
%matplotlib inline
x=df1[‘country’].values
y=df1[‘death’].values
plt.rcParams[‘font.sans-serif’] = [‘SimHei’]
plt.rcParams[‘figure.figsize’] = (10, 5) 
plt.bar(x,y,color=’g’)
plt.grid()
plt.xlabel(‘地区’,fontsize=14)
plt.ylabel(‘死亡人数’,fontsize=14)
plt.show()