From 620ca920e3bdc9bc462b3c11f8f13612b6bd388b Mon Sep 17 00:00:00 2001
From: hnu202110040409 <hnu202110040409@qq.com>
Date: Tue, 31 May 2022 10:28:02 +0800
Subject: [PATCH] ADD file via upload

---
 usa epidemic data.py | 44 ++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 44 insertions(+)
 create mode 100644 usa epidemic data.py

diff --git a/usa epidemic data.py b/usa epidemic data.py
new file mode 100644
index 0000000..7908f73
--- /dev/null
+++ b/usa epidemic data.py	
@@ -0,0 +1,44 @@
+# -*- coding: utf-8 -*-
+"""
+Created on Tue May 31 09:36:41 2022
+
+@author: Lenovo
+"""
+
+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
+parse = etree.HTMLParser(encoding='utf-8')  
+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()')
+death = doc.xpath('//div[@class="table_container"]//tbody/tr/td[3]/text()')
+death = [x.replace(",", "") for x in death]
+message = list(zip(country, person, death))
+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=["district", "person", "death"], encoding='gb2312')
+df = df.drop(range(0,101))
+df=df.sort_values(by='death',ascending=False)
+df1=df.head(15)
+
+import matplotlib.pyplot as plt
+%matplotlib inline
+plt.rcParams['font.sans-serif'] = ['SimHei']
+plt.rcParams['figure.figsize'] = (10, 5)  
+x = df1["district"].values
+y = df1["death"].values
+plt.bar(x, y)
+plt.xlabel("地区",fontsize=14)
+plt.ylabel("死亡人数",fontsize=14)
+plt.show()
+
+
+