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80 lines
2.1 KiB
80 lines
2.1 KiB
# -*- coding: utf-8 -*-
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"""
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Created on Wed Nov 30 12:30:46 2022
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@author: lenovo
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"""
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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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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"}
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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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# 使用 findall 函数来获取数据
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import re
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# 公司名
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company = re.findall('<a.*?target="_blank">(.+?)</a></h3>', html)
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# 注册资金:
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money = re.findall('"CoDate"><em>(.+?)</em>', html)
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pageOne = list(zip(company,money))
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# for循环获取其他页面的所有数据
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# 存储内容
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message = []
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# 所有页面的数据
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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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# 注册资金
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money = re.findall('"CoDate"><em>(.+?)</em>', 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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message=message[0:500]
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#保存内容到 csv 文件
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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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#数据可视化
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import pandas as pd
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import numpy as np
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df=pd.read_csv("content.csv", names=["company", "money"])
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df=df.head(20)
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df=df[::-1]
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import matplotlib.pyplot as plt
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plt.figure()
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plt.rcParams['font.sans-serif'] = ['SimHei']
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x=list(range(1,21))
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df_array = np.array(df["company"])
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l=df_array.tolist()
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df_array = np.array(df["money"])
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y=df_array.tolist()
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plt.xticks(x,l,rotation=90)
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plt.bar(x,y,width=0.8,color='r')
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plt.xlabel('company')
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plt.ylabel('money')
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for i,j in zip(x,y):
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plt.text(i,j,ha='center',va='bottom')
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plt.show()
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