From e0b9e1a1dac4113ddfe85c6f8e8e7f9ae9c534d3 Mon Sep 17 00:00:00 2001
From: hnu202209100109 <2453373680@qq.com>
Date: Tue, 19 Dec 2023 21:28:55 +0800
Subject: [PATCH] ADD file via upload

---
 疫情数据爬虫.py | 60 +++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 60 insertions(+)
 create mode 100644 疫情数据爬虫.py

diff --git a/疫情数据爬虫.py b/疫情数据爬虫.py
new file mode 100644
index 0000000..4bd9e18
--- /dev/null
+++ b/疫情数据爬虫.py
@@ -0,0 +1,60 @@
+# -*- coding: utf-8 -*-
+"""
+Created on Tue Dec 12 15:24:14 2023
+
+@author: Toon
+"""
+
+import requests
+from lxml import etree
+import csv
+import pandas as pd
+import matplotlib.pyplot as plt
+
+
+# 请求的url
+url = "https://www.bitpush.news/covid19/"
+# 设置请求头信息
+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"
+}
+# 使用reqeusts模快发起 GET 请求
+response = requests.get(url, headers=headers)
+# 获取请求的返回结果
+html = response.text
+parse = etree.HTMLParser(encoding='utf-8')  # 添加编码
+# 解析 requests 返回的响应结果
+doc = etree.HTML(html)
+state = doc.xpath('//html/body/div/div/div[2]/div[2]/div/div/div/div//tbody/tr/td/span/text()')
+# 确诊人数
+person = doc.xpath('//html/body/div/div/div[2]/div[2]/div/div/div/div//tbody/tr/td[2]/text()')
+# 由于确诊人数中有逗号，我们使用列表推导式删除
+person = [x.replace(",", "") for x in person]
+# 死亡人数
+death = doc.xpath('//html/body/div/div/div[2]/div[2]/div/div/div/div//tbody/tr/td[3]/text()')
+# 同样使用列表推导式删除逗号
+death = [x.replace(",", "") for x in death]
+message = list(zip(state, person, death))
+with open("content.csv", "w") as f:
+    w = csv.writer(f)
+    w.writerows(message)
+df = pd.read_csv("content.csv", names=["country", "person", "death"],encoding='gbk') 
+df.head()
+df.info()
+df1 = df.head(15)
+df1 = df1[::-1]
+# 在jupyter中直接展示图像
+#%matplotlib inline
+# 设置中文显示
+plt.rcParams['font.sans-serif'] = ['SimHei']
+plt.rcParams['figure.figsize'] = (5,5)  # 设置figure_size尺寸
+
+#制作柱形图
+x = df1["country"].values
+y = df1["person"].values
+plt.barh(x, y)
+plt.ylabel("国家",fontsize=14)
+plt.xlabel("确诊人数",fontsize=14)
+for x,y in zip(y,x):
+        plt.text(x, y,x, ha='left', va='center',color='r')
+plt.show()
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