From 109aae57dbe7419502963f824793ecab92ceba71 Mon Sep 17 00:00:00 2001
From: hnu202110040429 <hnu202110040429@qq.com>
Date: Sun, 29 May 2022 20:23:57 +0800
Subject: [PATCH] ADD file via upload

---
 美国疫情数据.py | 67 +++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 67 insertions(+)
 create mode 100644 美国疫情数据.py

diff --git a/美国疫情数据.py b/美国疫情数据.py
new file mode 100644
index 0000000..6e40649
--- /dev/null
+++ b/美国疫情数据.py
@@ -0,0 +1,67 @@
+# -*- coding: utf-8 -*-
+"""
+Created on Thu May 26 16:41:59 2022
+
+@author: 张舒心 保婧芝
+"""
+
+import csv  #用于把爬取的数据存储为csv格式，可以excel直接打开的
+import time  #用于对请求加延时，爬取速度太快容易被反爬
+from time import sleep #同上
+import random  #用于对延时设置随机数，尽量模拟人的行为
+import requests  #用于向网站发送请求
+from lxml import etree    #lxml为第三方网页解析库，强大且速度快
+import pandas as pd
+import matplotlib.pyplot as plt
+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/101.0.4951.64 Safari/537.36 Edg/101.0.1210.53"}
+response = requests.get(url, headers=headers,timeout=10)
+html=response.text
+
+parse = etree.HTMLParser(encoding='utf-8')
+doc = etree.HTML(html)
+continent = doc.xpath('//div[@class="table_container"]//tbody/tr/td/span/text()')
+# 确诊人数
+person = doc.xpath('//div[@class="table_container"]//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('//div[@class="table_container"]//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(continent, person, death))
+message1=message[101:159]
+
+
+
+
+with open("pandemic.csv", "w") as f:
+    w = csv.writer(f)
+    w.writerows(message1)
+
+
+df = pd.read_csv("pandemic.csv", names=["continent", "person", "death"],encoding='gbk')
+df.info()
+
+df1=df1.head(15)
+print(df1)
+
+
+# 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'] = (10, 5)  # 设置figure_size尺寸
+
+# x轴坐标
+x = df1["continent"].values
+# y轴坐标
+y = df1["person"].values
+# 绘制柱状图
+plt.bar(x, y)
+# 设置x轴名称
+plt.xlabel("地区",fontsize=14)
+# 设置x轴名称
+plt.ylabel("确诊人数",fontsize=14)
+plt.show()
+