From 8970e950fd9f95c87c53cac8a595763627bd5744 Mon Sep 17 00:00:00 2001
From: hnu202110040429 <hnu202110040429@qq.com>
Date: Fri, 27 May 2022 23:07:53 +0800
Subject: [PATCH] Delete 'untitled4.py'

---
 untitled4.py | 64 ----------------------------------------------------
 1 file changed, 64 deletions(-)
 delete mode 100644 untitled4.py

diff --git a/untitled4.py b/untitled4.py
deleted file mode 100644
index d86c2d3..0000000
--- a/untitled4.py
+++ /dev/null
@@ -1,64 +0,0 @@
-# -*- coding: utf-8 -*-
-"""
-Created on Thu May 26 16:41:59 2022
-
-@author: 田柾国老婆
-"""
-
-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))
-message
-
-with open("pandemic.csv", "w") as f:
-    w = csv.writer(f)
-    w.writerows(message)
-
-
-df = pd.read_csv("pandemic.csv", names=["continent", "person", "death"],encoding='gbk')
-df.info()
-df1 = df.drop(0).tail(58)
-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()
-