Update 疫情爬虫.py

疫情爬虫.py

@@ -29,3 +29,75 @@ plt.bar(x, y)
 plt.xlabel("国家",fontsize=14)
 plt.ylabel("死亡人数",fontsize=14)
 plt.show()
+#练习二如下
+import requests
+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
+from lxml import etree
+doc = etree.HTML(html)
+country = doc.xpath('//div[@class="table_container"]//tbody/tr/td/span/text()')
+person = doc.xpath('//div[@class="table_container"]//tbody/tr/td[2]/text()')
+person = [x.replace(",", "") for x in person]
+death = doc.xpath('//div[@class="table_container"]//tbody/tr/td[3]/text()')
+death = [x.replace(",", "") for x in death]
+message=[]
+for i in range(len(death)):
+    a=[country[i],person[i],death[i]]
+    message.append(a)
+f=lambda x : eval(x[1])
+message=sorted(message,key=f,reverse=True)
+print(message)
+import csv
+with open("content.csv", "w") as f:
+    w = csv.writer(f)
+    w.writerows(message)
+import pandas as pd
+df = pd.read_csv("content.csv", names=["country", "person", "death"],encoding='gbk')
+df1 = df.drop(0).head(15)
+import matplotlib.pyplot as plt
+plt.rcParams['font.sans-serif'] = ['SimHei']
+plt.rcParams['figure.figsize'] = (15, 5)
+x = df1["country"].values
+y = df1["person"].values
+plt.bar(x, y)
+plt.xlabel("国家",fontsize=14)
+plt.ylabel("感染人数",fontsize=14)
+plt.show()
+#练习一如下
+import requests
+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
+from lxml import etree
+doc = etree.HTML(html)
+country = doc.xpath('/html/body/div/div/div[2]/div[2]/div/div/div/div//tbody/tr/td/span/text()')
+person = doc.xpath('/html/body/div/div/div[2]/div[2]/div/div/div/div//tbody/tr/td[2]/text()')
+person = [x.replace(",", "") for x in person]
+death = doc.xpath('/html/body/div/div/div[2]/div[2]/div/div/div/div//tbody/tr/td[3]/text()')
+death = [x.replace(",", "") for x in death]
+message=[]
+for i in range(len(death)):
+    a=[country[i],person[i],death[i]]
+    message.append(a) 
+f=lambda x : eval(x[1])
+message=sorted(message,key=f,reverse=True)
+print(message)
+import csv
+with open("content.csv", "w") as f:
+    w = csv.writer(f)
+    w.writerows(message)
+import pandas as pd
+df = pd.read_csv("content.csv", names=["country", "person", "death"],encoding='gbk')
+df1 = df.drop(0).head(15)
+import matplotlib.pyplot as plt
+plt.rcParams['font.sans-serif'] = ['SimHei']
+plt.rcParams['figure.figsize'] = (15, 5)
+x = df1["country"].values
+y = df1["person"].values
+plt.bar(x, y)
+plt.xlabel("地区",fontsize=14)
+plt.ylabel("感染人数",fontsize=14)
+plt.show()