一个完整的大作业

1.选一个自己感兴趣的主题。网址为http://news.gzcc.cn/html/xiaoyuanxinwen/

2.网络上爬取相关的数据

 

import requests
import re
from bs4 import BeautifulSoup
url='http://news.gzcc.cn/html/xiaoyuanxinwen/'
res=requests.get(url)
res.encoding='utf-8'
soup=BeautifulSoup(res.text,'html.parser')

#获取点击次数
def getclick(newurl):
    id=re.search('_(.*).html',newurl).group(1).split('/')[1]
    clickurl='http://oa.gzcc.cn/api.php?op=count&id={}&modelid=80'.format(id)
    click=int(requests.get(clickurl).text.split(".")[-1].lstrip("html('").rstrip("');"))
    return click

#获取内容
def getonpages(listurl):
    res=requests.get(listurl)
    res.encoding='utf-8'
    soup=BeautifulSoup(res.text,'html.parser')
    
    for news in soup.select('li'):
        if len(news.select('.news-list-title'))>0:
            title=news.select('.news-list-title')[0].text #标题
            time=news.select('.news-list-info')[0].contents[0].text#时间
            url1=news.select('a')[0]['href'] #url
            bumen=news.select('.news-list-info')[0].contents[1].text#部门
            description=news.select('.news-list-description')[0].text #描述

            resd=requests.get(url1)
            resd.encoding='utf-8'
            soupd=BeautifulSoup(resd.text,'html.parser')
            detail=soupd.select('.show-content')[0].text

            click=getclick(url1) #调用点击次数
            print(title,click)


count=int(soup.select('.a1')[0].text.rstrip("条"))
pages=count//10+1
for i in range(2,4):
    pagesurl="http://news.gzcc.cn/html/xiaoyuanxinwen/{}.html".format(i)
    getonpages(pagesurl)

  

 

3.进行文本分析，生成词云。

#coding:utf-8
import jieba
from wordcloud import WordCloud
import matplotlib.pyplot as plt
 
text =open("D:\cc.txt",'r',encoding='utf-8').read()
print(text)
wordlist = jieba.cut(text,cut_all=True)
wl_split = "/".join(wordlist)
 
mywc = WordCloud().generate(text)
plt.imshow(mywc)
plt.axis("off")
plt.show()

4.结论，当前时间段主要新闻内容以新生入学和十九大的召开为主。