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 requestsfrom bs4 import BeautifulSoupimport reimport pandasfrom datetime import datetime import randomfrom wordcloud import WordCloudimport matplotlib.pyplot as plturl = '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('\n\n标题',title,'\n时间',time，'\n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。