python爬取花木兰豆瓣影评，并进行词云分析

╰+攻爆jí腚メ 2022-12-07 01:56 180阅读 0赞

## 前言 ##

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最近新上影的电影《花木兰》，评分还是有点低

今天咱们就爬取一下花木兰这个电影评价，看看大家都是怎么评价的  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2ZlaTM0Nzc5NTc5MA_size_16_color_FFFFFF_t_70_pic_center]

## 基本环境配置 ##

*  python 3.6
 *  pycharm
 *  requests
 *  parsel

pip install requests
    pip install parsel

## 一、分析网页 ##

https://movie.douban.com/subject/26357307/reviews

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2ZlaTM0Nzc5NTc5MA_size_16_color_FFFFFF_t_70_pic_center 1]  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2ZlaTM0Nzc5NTc5MA_size_16_color_FFFFFF_t_70_pic_center 2]

## 爬虫代码 ##

import requests
    import parsel
    url = 'https://movie.douban.com/subject/26357307/reviews'
    
    headers = { 
      'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.9',
      'Host': 'movie.douban.com',
      'Referer': 'https: // movie.douban.com / subject / 26754233 / reviews?start = 140',
      'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/84.0.4147.105 Safari/537.36',
    }
    
    response = requests.get(url=url, headers=headers)
    selector = parsel.Selector(response.text)
    data = selector.css('#content .article .review-list .short-content::text').getall()
    for i in data:
      a = i.strip().replace('\n', '').replace(')', '').replace('(', '')
      with open('花木兰影评' + '.txt', mode='a', encoding='utf-8') as f:
          f.write(a)
          f.write('\n')
      print(a)

## 实现效果 ##

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2ZlaTM0Nzc5NTc5MA_size_16_color_FFFFFF_t_70_pic_center 3]

## 词云代码 ##

import jieba
    import wordcloud
    import imageio
    # 导入imageio库中的imread函数，并用这个函数读取本地图片，作为词云形状图片
    py = imageio.imread(r"G:\python\demo\案例\花木兰豆瓣影评\木兰.png")
    # 读取文件内容
    f = open(r'G:\python\demo\案例\花木兰豆瓣影评\花木兰影评.txt', encoding='utf-8')
    txt = f.read()
    # print(txt)
    # jiabe 分词 分割词汇
    txt_list = jieba.lcut(txt)
    string = ' '.join(txt_list)
    # 词云图设置
    wc = wordcloud.WordCloud(
            width=1000,         # 图片的宽
            height=700,         # 图片的高
            background_color='white',   # 图片背景颜色
            font_path='msyh.ttc',    # 词云字体
            mask=py,     # 所使用的词云图片
            scale=15,
            stopwords={ ' ', '没有', '真的', '还是', '就是', '如果', '花木兰', '木兰', '花木', '不是', '什么', '一个', '这部', '但是', '觉得', '有点', '虽然', '我们'},
            # contour_width=5,
            # contour_color='red' # 轮廓颜色
    )
    # 给词云输入文字
    wc.generate(string)
    # 词云图保存图片地址
    wc.to_file(r'G:\python\demo\案例\花木兰豆瓣影评\花木兰.png')

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2ZlaTM0Nzc5NTc5MA_size_16_color_FFFFFF_t_70_pic_center 4]  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2ZlaTM0Nzc5NTc5MA_size_16_color_FFFFFF_t_70_pic_center 5]

[python]: https://jq.qq.com/?_wv=1027&k=ThcV4SNF
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[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2ZlaTM0Nzc5NTc5MA_size_16_color_FFFFFF_t_70_pic_center 1]: /images/20221123/0ff4b75107114bcabfb0d69ca48941d2.png
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2ZlaTM0Nzc5NTc5MA_size_16_color_FFFFFF_t_70_pic_center 2]: /images/20221123/d54611cfdc34423b8f932e48b80bb383.png
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[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2ZlaTM0Nzc5NTc5MA_size_16_color_FFFFFF_t_70_pic_center 4]: /images/20221123/c30b3ad0b5c14cd893d95138e0b38696.png
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