README.md

@@ -1,2 +1,39 @@
 # 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()