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# -*- coding: utf-8 -*-
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"""
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Created on Sat May 21 21:38:27 2022
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@author: dell
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"""
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# 首先我们需要导入 requests 库
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import requests
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# 请求的url
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url = "https://top.chinaz.com/gongsi/index_zhuce.html"
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# 设置请求头信息
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headers = {
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"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"
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}
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# 使用reqeusts模快发起 GET 请求
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response = requests.get(url, headers=headers)
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# 获取请求的返回结果
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html = response.text
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print(html)
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# 导入 re 模快
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import re
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# 使用 findall 函数来获取数据
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# 公司名
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company = re.findall('<a.*?target="_blank">(.+?)</a></h3>', html)
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#注册资本
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money=re.findall('<em>(.+?)</em>注册资本</div>', html)
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pageOne = list(zip(company,money))
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# 存储内容
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message = []
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# 总共16个页面的数据
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for page in range(17):
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# 组装url
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if page == 0:
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url = "https://top.chinaz.com/gongsi/index_zhuce.html"
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else:
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url = "https://top.chinaz.com/gongsi/index_zhuce_{}.html".format(page + 1)
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# 使用reqeusts模快发起 GET 请求
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response = requests.get(url, headers=headers)
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html = response.text
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# 使用 findall 函数来获取数据
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# 公司名
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company = re.findall('<a.*?target="_blank">(.+?)</a></h3>', html)
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money=re.findall('<em>(.+?)</em>注册资本</div>', html)
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pageOne = list(zip(company,money))
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# 合并列表
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message.extend(pageOne)
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# 导入python中的内置模块csv
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import csv
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with open("content.csv", "w") as f:
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w = csv.writer(f)
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w.writerows(message)
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import pandas as pd
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# 读取数据
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df = pd.read_csv("content.csv", names=["company",'money'],encoding='gbk')
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df.head()
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df.info()
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#数据预处理
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df['money']=df['money'].apply(lambda x:x.replace('亿','') )
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df['money']=df['money'].apply(lambda x: float(x) )
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#获取top20
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df1=df.sort_values(by='money',ascending=False)
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df2=df1.iloc[0:20]
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#数据可视化 绘制水平条形图
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import matplotlib.pyplot as plt
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x=df2['company']
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y=df2['money']
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plt.barh(x,y,height=0.8)
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for i,j in zip(x,y):
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plt.text(j,i,j)
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plt.title('中国500强注册资金top20企业')
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plt.show()
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