一个完整的大作业

1.选一个自己感兴趣的主题。

2.网络上爬取相关的数据。

3.进行文本分析，生成词云。

4.对文本分析结果解释说明。

5.写一篇完整的博客，附上源代码、数据爬取及分析结果，形成一个可展示的成果。

import requests
from bs4 import BeautifulSoup
import re
import pandas
from datetime import datetime 
import random
from wordcloud import WordCloud
import matplotlib.pyplot as plt

url = 'http://news.qq.com/l/milite/milgn/list2010122872223.htm'

list =[]

def getListFullMarksArticle(url):
    res = requests.get(url)
    res.encoding = 'GBK'  
    article0 = BeautifulSoup(res.text,"html.parser")  
    articleList = {}  
    for article in article0.select('.artbox_l'):     
        list.append(getAllArticle(articleList,article))
    
    

def getAllArticle(articleList,article):
    
    articleList['URL'] = article.select('li')[0].select("a")[0]['href']#链接
    articleList['TITLE'] = article.select("li")[0].select("a")[0].text#标题
    articleList['DATE'] = article.select("li")[0].select("span")[0].text#日期


    url= article.select('li')[0].select("a")[0]['href']#链接
    title = article.select("li")[0].select("a")[0].text#标题
    time = article.select("li")[0].select("span")[0].text#日期

    print('

标题',title,'
时间',time，'
链接'，url)
    return(articleList)

#循环总页数进行输出               
for i in range(2,4):
    allUrl='http://news.qq.com/l/milite/milgn/list2010122872223_{}.htm'.format(i)
    getListFullMarksArticle(allUrl)
    
#保存数据
df = pandas.DataFrame(list)

df.to_excel('FullArticleList.xlsx')

#制作词云
lo = open ('FullArticleList.xlsx','r',encoding='ISO-8859-1').read()
#lo = open ('FullArticleList.xlsx','r','GBK').read()
#lo = open ('FullArticleList.xlsx','r','GB2312').read()
#lo = open ('FullArticleList.xlsx','r','ASCII').read()
#lo = open ('FullArticleList.xlsx','r','ISO-8859-8').read()
#lo = open ('FullArticleList.xlsx','r','ISO-8859-7').read()
FullMarks = WordCloud().generate(lo)
plt.imshow(FullMarks)
plt.show()

结果如下图所示：

由于未知原因，词云出现乱码。