From bf198a0a8605a45ee212ecce419bd5340c5af7b5 Mon Sep 17 00:00:00 2001
From: hnu202110040409 <hnu202110040409@qq.com>
Date: Tue, 31 May 2022 10:27:33 +0800
Subject: [PATCH] Delete 'global epidemic data.py'

---
 global epidemic data.py | 43 -----------------------------------------
 1 file changed, 43 deletions(-)
 delete mode 100644 global epidemic data.py

diff --git a/global epidemic data.py b/global epidemic data.py
deleted file mode 100644
index e97f13f..0000000
--- a/global epidemic data.py	
+++ /dev/null
@@ -1,43 +0,0 @@
-# -*- coding: utf-8 -*-
-"""
-Created on Tue May 31 08:28:57 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=["country", "person", "death"], encoding='gb2312')
-df.info()
-df1 = df.drop(0).head(10)
-
-import matplotlib.pyplot as plt
-%matplotlib inline
-plt.rcParams['font.sans-serif'] = ['SimHei']
-plt.rcParams['figure.figsize'] = (10, 5)  
-x = df1["country"].values
-y = df1["death"].values
-plt.bar(x, y)
-plt.xlabel("国家",fontsize=14)
-plt.ylabel("死亡人数",fontsize=14)
-plt.show()
-
-
-