爬虫大作业

1.选一个自己感兴趣的主题或网站。(所有同学不能雷同)

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。

 

一、爬取第五人格百度贴吧内容

import requests
from bs4 import BeautifulSoup
import re
import jieba
from wordcloud import WordCloud,ImageColorGenerator,STOPWORDS


url = "https://tieba.baidu.com/f?kw=%B5%DA%CE%E5%C8%CB%B8%F1&fr=ala0&tpl=5"
res = requests.get(url)
res.encoding = "utf-8"
soup = BeautifulSoup(res.text, "html.parser")
output = open("cyn.txt", "a+", encoding="utf-8")
for p in soup.find_all("p"):
    output.write(p.get_text() + "\n")
output.close()
txt = open("cyn.txt", "r", encoding="utf-8").read()

 

二、

words = jieba.lcut(txt)
ls = []
counts = {}

for word in words:
    ls.append(word)
    if len(word) == 1:
        continue
    else:
        counts[word] = counts.get(word,0)+1
items = list(counts.items())
items.sort(key = lambda x:x[1], reverse = True)

for i in range(10):
    word , count = items[i]
    print ("{:<5}{:>2}".format(word,count))

 

三、生成词云

abel_mask = np.array(Image.open("filepath"))

text_from_file_with_apath = open('filepath').read()

wordlist_after_jieba = jieba.cut(text_from_file_with_apath, cut_all = True)
wl_space_split = " ".join(wordlist_after_jieba)

my_wordcloud = WordCloud(
            background_color='white',    



            mask = abel_mask,        
            max_words = 200,            
            stopwords = STOPWORDS,        
            font_path = C:/Users/Windows/fonts/simkai.ttf',
            max_font_size = 50,            
            random_state = 30,         
                scale=.5
                ).generate(wl_space_split)


image_colors = ImageColorGenerator(abel_mask)

plt.imshow(my_wordcloud)
plt.axis("off")
plt.show()