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47 lines
1.6 KiB
47 lines
1.6 KiB
import requests
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url="https://top.chinaz.com/gongsi/index_HuNan_zhuce.html"
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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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response=requests.get(url, headers=headers)
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html=response.text
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import re
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company=re.findall('<a.*?target="_blank">(.+?)</a></h3>', html)
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person=re.findall('法定代表人：</span>(.+?)</p>', html)
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signDate=re.findall('注册时间：</span>(.+?)</p>', html)
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category=re.findall('证券类别：</span>(.+?)</p>', html)
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pageOne=list(zip(company, person, signDate, category))
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message=[]
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for page in range(16):
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if page==0:
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url="https://top.chinaz.com/gongsi/index_HuNan_zhuce.html"
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else:
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url="https://top.chinaz.com/gongsi/index_HuNan_zhuce_{}.html".format(page + 1)
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response=requests.get(url, headers=headers)
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html=response.text
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message.extend(pageOne)
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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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df=pd.read_csv("content.csv", names=["company", "person", "signDate", "category"],encoding='cp936')
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df.head()
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df1=df.groupby("category").count()["company"]
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import matplotlib.pyplot as plt
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plt.rcParams['font.sans-serif']=['SimHei']
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names=df1.index
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values=df1.values
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fig1,ax1=plt.subplots()
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ax1.pie(values, labels=names, autopct='%3.1f%%',explode=(0.11,0.2),textprops={'fontsize':18,'color':'k'},radius=2,
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shadow=True, startangle=180,colors=('c','y'))
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ax1.set_title('湖南企业五百强')
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ax1.axis('equal')
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plt.show()
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