1. 这些数据是来自 http://music.163.com

2. 生成词云的同时，还生成了爬取的所有文字

3. 程序代码

#-*- coding: utf-8 -*
import jieba
import matplotlib.pyplot as plt
import imageio
import wordcloud
import requests
import time
import re
import os

def _content_generator(music_id):
    # 利用Python爬虫爬取评论（不需要掌握）
    url = 'http://music.163.com/api/v1/resource/comments/R_SO_4_%s' % music_id
    headers = {
        'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8',
        'Accept-Encoding': 'gzip, deflate',
        'Accept-Language': 'zh-CN,zh;q=0.9',
        'Cache-Control': 'max-age=0',
        'Host': 'music.163.com',
        'Proxy-Connection': 'keep-alive',
        'Upgrade-Insecure-Requests': '1',
        'Cookie': '__f_=1544879495065; _ntes_nnid=ec5f372598a44f7d45726f800d3c244b,1544879496275; _ntes_nuid=ec5f372598a44f7d45726f800d3c244b; _iuqxldmzr_=32; __utmc=94650624; WM_TID=SjPgpIfajWhEUVQQAVYoLv%2BJSutc41%2BE; __utma=94650624.1212198154.1546091705.1546142549.1546173830.4; __utmz=94650624.1546173830.4.4.utmcsr=baidu|utmccn=(organic)|utmcmd=organic; WM_NI=fjy1sURvfoc29LFwx6VN7rVC6wTgq5EA1go8oNGPt2OIoPoLBInGAKxG9Rc6%2BZ%2F6HQPKefTD2kdeQesFU899HSQfRmRPbGmc6lxhGHcRpZAVtsYhGxIWtlaVLL1c0Z7HYUc%3D; WM_NIKE=9ca17ae2e6ffcda170e2e6ee89ef48839ff7a3f0668abc8aa3d15b938b8abab76ab6afbab4db5aacaea290c52af0fea7c3b92aa6b6b7d2f25f92aaaa90e23afb948a98fb3e9692f993d549f6a99c88f43f879fff88ee34ad9289b1f73a8d97a1b1ee488297a2a8c441bc99f7b3e23ee986e1d7cb5b9495ab87d750f2b5ac86d46fb19a9bd9bc338c8d9f87d1679290aea8f069f6b4b889c644a18ec0bbc45eb8ad9789c6748b89bc8de45e9094ff84b352f59897b6e237e2a3; __utmb=94650624.8.10.1546173830; JSESSIONID-WYYY=JhDousUg2D2BV1f%2Bvq6Ka6iQHAWfFvQOPdvf5%5CPMQISbc5nnfzqQAJDcQsezW82Cup2H5n1grdeIxXp79veCgoKA68D6CSkgCXcOFkI04Hv8hEXG9tWSMKuRx0XZ4Bp%5C%5CSbZzeRs6ey4FxADkuPVlIIVSGn%2BTq8mYstxPYBIg0f2quO%5C%3A1546177369761',
        'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.67 Safari/537.36',
    }
    limit = 20
    offset = 0
    compiler = re.compile(r'[^\u4E00-\u9FA5^\u3000-\u303F^\uFF00-\uFFEF^0-9^a-z^A-Z]')

    while True:
        params = {
            'limit': limit,
            'offset': offset,
        }
        offset += limit
        r = requests.get(url, headers=headers, params=params)
        comments = r.json()['comments']
        has_more = r.json()['more']

        for t in comments:
            yield compiler.subn('', t['content'])[0]

        if not has_more:
            break

def get_words_text(music_id, max_num = 500):
    '''
    功能：爬取对应id的音乐评论
    参数：music_id音乐id; max_num爬取评论数量，默认500
    返回：评论内容
    '''
    if os.path.isfile(f'{music_id}.txt') and os.path.getsize(f'{music_id}.txt') != 0:
        print('评论文件已存在，读取文件...')
        with open(f'{music_id}.txt', 'r', encoding='utf-8') as f:
            return f.read()
    else:
        print('没有默认评论文件，开始爬取评论...')
        count = 0
        text = []
        comments = _content_generator(music_id)
        for t in comments:
            count += 1
            text.append(t)
            print(f'\r已爬取 {count}条评论', end='')
            if count == max_num:
                break

            if count % 100 == 0:
                print(f'\r已爬取 {count}条评论, 休息 2s', end='')
                time.sleep(2)
            
        str_text = '\n'.join(text)
        with open(f'{music_id}.txt', 'w', encoding='utf-8') as f:
            f.write(str_text)
            print(f'\r共爬取 {count}条评论，已写入文件 {music_id}.txt')
        return str_text

def show_wordcloud(str_text, fout, **kwargs):
    '''
    功能：音乐评论词云的生成及展示
    参数：str_text音乐评论; fout保存词云图片文件；**kwargs 词云绘制参数
    '''
    # 词云参数
    if 'font_path' not in kwargs:
        raise ValueError('缺少参数 font_path')
    default_kwargs = {
        'background_color': "white",
        'width': 1000,
        'height': 860,
        'margin': 2,
        'max_words': 50,
        'stopwords': ['首歌'],
    }
    default_kwargs.update(kwargs)
    if 'mask' in kwargs:
        default_kwargs['mask'] = imageio.imread(kwargs['mask'])
    
    wc = wordcloud.WordCloud(**default_kwargs)
    # 中文分词
    text_list = jieba.cut(str_text)
    # 词云生成
    img_wc = wc.generate(' '.join(text_list))
    # 词云保存
    wc.to_file(fout)
    # 词云展示
    plt.axis('off')
    plt.imshow(wc)
    plt.show()

if __name__ == '__main__':
    str_text = get_words_text('1363948882')
    show_wordcloud(str_text, 'result.png')