From b8b18db3071e943d7e902738c7d2f9ba1a567a64 Mon Sep 17 00:00:00 2001
From: hnu202111020218 <hnu202111020218@qq.com>
Date: Fri, 31 Dec 2021 21:11:52 +0800
Subject: [PATCH] Update README.md

---
 README.md | 49 ++++++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 48 insertions(+), 1 deletion(-)

diff --git a/README.md b/README.md
index cfe1150..40a859e 100644
--- a/README.md
+++ b/README.md
@@ -1,2 +1,49 @@
-# 1
+import requests
+from lxml import etree
+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
+#print(html)
+parse = etree.HTMLParser(encoding='utf-8') 
+doc = etree.HTML(html)
+#states
+states = doc.xpath('//div[@class="table_container"]//tbody/tr/td/span/text()')
+print(states)
+person = doc.xpath('//div[@class="table_container"]//tbody/tr/td[2]/text()')
+print(person)
+person = [x.replace(",", "") for x in person]
+print(person)
+death = doc.xpath('//div[@class="table_container"]//tbody/tr/td[3]/text()')
+print(death)
+death = [x.replace(",", "") for x in death]
+message = list(zip(states, person, death))
+import csv
+with open("content.csv", "w") as f:
+    a = csv.writer(f)
+    a.writerows(message)
+import pandas as pd
+
+#读取数据
+df = pd.read_csv("content.csv", names=["states", "person", "death"],encoding = 'gb2312')
+df.head()
+print(df)
+for i in range(101):
+    df.drop([i],inplace=True)
+print(df)
+df.sort_values(by=['person'],ascending=False)
+print(df)
+df=df.iloc[0:158]
+print(df)
+import matplotlib.pyplot as plt
+plt.rcParams['font.sans-serif'] = ['SimHei']
+plt.rcParams['figure.figsize'] = (80,50)  
+x = df["states"].values
+y = df['person'].values
+plt.bar(x, y)
+plt.xlabel("states")
+plt.ylabel("person")
+plt.show()