画图显示：

 

import jiebafrom wordcloud import WordCloudimport matplotlib.pyplot as plttxt = open("zuihou.txt","r",encoding='utf-8').read()wordlist = jieba.lcut(txt) wl_split=" ".join(wordlist)mywc = WordCloud().generate(wl_split)plt.imshow(mywc)plt.axis("off")plt.show()

结果：

 

 用requests库和BeautifulSoup4库，爬取校园新闻列表的时间、标题、链接、来源、详细内容

爬虫，网页信息

import requestsfrom bs4 import BeautifulSoupgzccurl = 'http://news.gzcc.cn/html/xiaoyuanxinwen/'res = requests.get(gzccurl)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        url = news.select('a')[0]['href']        print(title,url)

结果：

 加上时间：

for news in soup.select('li'):    if len(news.select('.news-list-title'))>0:        title = news.select('.news-list-title')[0].text        url = news.select('a')[0]['href']        time = news.select('.news-list-info')[0].contents[0].text                print(time,title,url)

效果：

• 将其中的时间str转换成datetime类型。
• 将取得详细内容的代码包装成函数。

import requestsfrom bs4 import BeautifulSoupfrom datetime import datetimegzccurl = 'http://news.gzcc.cn/html/xiaoyuanxinwen/'res = requests.get(gzccurl)res.encoding = 'utf-8'soup = BeautifulSoup(res.text,'html.parser')def getdetail(url):    resd = requests.get(url)    resd.encoding= 'utf-8'    soupd = BeautifulSoup(resd.text,'html.parser')    return(soupd.select('.show-content')[0].text)for news in soup.select('li'):    if len(news.select('.news-list-title'))>0:        title = news.select('.news-list-title')[0].text        url = news.select('a')[0]['href']        time = news.select('.news-list-info')[0].contents[0].text        dt = datetime.strptime(time,'%Y-%m-%d')        source = news.select('.news-list-info')[0].contents[1].text        detail = getdetail(url)        print(dt,title,url,source,detail)

结果：

• 选一个自己感兴趣的主题，做类似的操作，为后面“爬取网络数据并进行文本分析”做准备。

import requestsfrom bs4 import BeautifulSoupfrom datetime import datetimegzccurl = 'http://www.lbldy.com/tag/gqdy/'res = requests.get(gzccurl)res.encoding = 'utf-8'soup = BeautifulSoup(res.text,'html.parser')def getdetail(url):    resd = requests.get(url)    resd.encoding= 'utf-8'    soupd = BeautifulSoup(resd.text,'html.parser')    return(soupd.select('.show-content')[0].text)for news in soup.select('h4'):            print(news)

结果：