爬虫大作业

1.选一个自己感兴趣的主题。

2.用python 编写爬虫程序，从网络上爬取相关主题的数据。

3.对爬了的数据进行文本分析，生成词云。

4.对文本分析结果进行解释说明。

5.写一篇完整的博客，描述上述实现过程、遇到的问题及解决办法、数据分析思想及结论。

6.最后提交爬取的全部数据、爬虫及数据分析源代码。

import requests
from bs4 import BeautifulSoup
import re
import jieba
from wordcloud import WordCloud
import matplotlib.pyplot as plt

# 将词云写入到文件
def writeFilekeynews(keywords):
    f = open('keyword.txt', 'a', encoding='utf-8')
    for word in keywords:
        f.write(" "+word)
    f.close()

#将新闻内容写入文件
def writeFilecontent(contnet):

    f = open('content.txt', 'a', encoding='utf-8')
    f.write(" "+contnet)
    f.close()

def getWordCloud():
    keynewsTowordcloud = open('keyword.txt', 'r', encoding='utf-8').read()
    print(keynewsTowordcloud)
    wc = WordCloud(font_path='C:WindowsFontsAdobeKaitiStd-Regular.otf', background_color='white',max_words=150).generate(keynewsTowordcloud).to_file("wordcloud.jpg")
    plt.imshow(wc)
    plt.axis('off')
    plt.show()

def getKeynews(content):
    content = ''.join(re.findall('[u4e00-u9fa5]', content)) # 通过正则表达式选取中文字符数组，拼接为无标点字符内容
    # 去掉重复的字符生成集合
    newSet = set(jieba._lcut(content))

    newDict = {}
    for i in newSet:
        newDict[i] = content.count(i)
    deleteList, keynews = [], []
    for i in newDict.keys():
        if len(i) < 2:
         deleteList.append(i) #去掉单音无意义字符
    deleteList.append('编辑')
    for i in deleteList:
        del newDict[i]
    dictList = list(newDict.items())
    dictList.sort(key=lambda item: item[1], reverse=True) # 排序，返回前三关键字
    for dict in dictList:
        keynews.append(dict[0])
    return keynews

def getNewsDetail(newsUrl):
    resd = requests.get(newsUrl)
    resd.encoding = 'utf-8'
    soupd = BeautifulSoup(resd.text, 'html.parser')
    content = soupd.select('.artical-main-content')[0].text

writeFilecontent(content)

keynews = getKeynews(content)

writeFilekeynews(keynews)

def Get_page(url):
    res = requests.get(url)
    res.encoding = 'utf-8'
    soup = BeautifulSoup(res.text, 'html.parser')
    # print(soup.select('.tag-list-box')[0].select('.list'))
    for new in soup.select('.tag-list-box')[0].select('.list'):
        # print(new.select('.list-content')[0] .select('.name')[0].select('.n1')[0].select('a')[0]['href'])
        url = new.select('.list-content')[0].select('.name')[0].select('.n1')[0].select('a')[0]['href']
        getNewsDetail(url)

url = 'https://voice.hupu.com/nba/tag/3023-1.html'
resd = requests.get(url)
resd.encoding = 'utf-8'
soup1 = BeautifulSoup(resd.text, 'html.parser')
Get_page(url)
for i in range(2, 4):
Get_page('https://voice.hupu.com/nba/tag/3023-{}.html'.format(i))

getWordCloud()

截图：