爬虫大作业

Posted 2020-11-01 115叶霆毅

 

import jieba.analyse
from PIL import Image,ImageSequence
import numpy as np
import matplotlib.pyplot as plt
from wordcloud import WordCloud,ImageColorGenerator
import requests
from urllib import parse
from bs4 import BeautifulSoup

def getWord():
    lyric = \'\'
    # 打开文档，进行编译，防止错误
    f = open(\'youku.txt\', \'r\', encoding=\'utf-8\')
    # 将文档里面的数据进行单个读取，便于生成词云
    for i in f:
        lyric += f.read()
    #     进行分析
    result = jieba.analyse.textrank(lyric, topK=50, withWeight=True)
    keywords = dict()
    for i in result:
        keywords[i[0]] = i[1]
    print(keywords)

    # 获取词云生成所需要的模板图片
    image = Image.open(\'789.jpg\')
    graph = np.array(image)
    # 进行词云的设置
    wc = WordCloud(font_path=\'./fonts/simhei.ttf\', background_color=\'White\', max_words=50, mask=graph)
    wc.generate_from_frequencies(keywords)
    image_color = ImageColorGenerator(graph)
    plt.imshow(wc)
    plt.imshow(wc.recolor(color_func=image_color))
    plt.axis("off")
    plt.show()
    wc.to_file(\'dream.png\')

name = \'youku\'
unique = parse.quote(name)
print(unique)
url = \'http://list.youku.com/category/show/c_96_g_%E7%A7%91%E5%B9%BB_s_1_d_1.html?spm=a2hmv.20009921.m_86982.5~5~5!3~1~3!5~A\'
print(url)

res = requests.get(url)
res.encoding = \'utf-8\'
soup = BeautifulSoup(res.text, \'html.parser\')
titles = soup.select(".info-list .title a")
for i in range(0,len(titles)):
    title = titles[i].text
    f = open(\'youku.txt\', \'a\', encoding=\'utf-8\')
    f.write(title)
    f.write("\\n")
    f.close()
    # print(title)
getWord()