在csdn首页上偶然看到了这个话题，然而那篇文章并没有分词，而且只有首页的评论，找了相关的资料，都不能直接运行。
# -*- coding: utf-8 -*-"""Created on Tue May 2 09:34:33 /marksinoberg/article/details/70809830 参考链接/u013473520/article/details/51764334 生成词云/question/36081767 抓取多行@author: chucpython3.5"""import requestsimport jsonfrom Crypto.Cipher import AESimport base64headers = {'Cookie': 'appver=1.5.0.75771;','Referer': '/'}second_param = "010001"third_param = "00e0b509f6259df8642dbc35662901477df22677ec152b5ff68ace615bb7b725152b3ab17a876aea8a5aa76d2e417629ec4ee341f56135fccf695280104e0312ecbda92557c93870114af6c9d05c4f7f0c3685b7a46bee255932575cce10b424d813cfe4875d3e82047b97ddef52741d546b8e289dc6935b3ece0462db0a22b8e7"forth_param = "0CoJUm6Qyw8W8jud"url = "/weapi/v1/resource/comments/R_SO_4_30953009/?csrf_token=" #要抓取不同的音乐，在这里更换30953009def get_params(first_param):iv = "0102030405060708"first_key = forth_paramsecond_key = 16 * 'F'h_encText = AES_encrypt(first_param, first_key, iv)h_encText = AES_encrypt(h_encText, second_key, iv)return h_encTextdef get_encSecKey():encSecKey = "257348aecb5e556c066de214e531faadd1c55d814f9be95fd06d6bff9f4c7a41f831f6394d5a3fd2e3881736d94a02ca919d952872e7d0a50ebfa1769a7a62d512f5f1ca21aec60bc3819a9c3ffca5eca9a0dba6d6f7249b06f5965ecfff3695b54e1c28f3f624750ed39e7de08fc8493242e26dbc4484a01c76f739e135637c"return encSecKeydef AES_encrypt(text, key, iv):pad = 16 - len(text) % 16text = text + pad * chr(pad)encryptor = AES.new(key, AES.MODE_CBC, iv)encrypt_text = encryptor.encrypt(text)encrypt_text = base64.b64encode(encrypt_text)encrypt_text = str(encrypt_text, encoding = "utf-8")return encrypt_textdef get_json(url, params, encSecKey):data = {"params": params,"encSecKey": encSecKey}response = requests.post(url, headers=headers, data=data)return response.contentfor i in range(1000): #抓取1000页f = i*20first_param = '{rid:\"\", offset: \"' + str(f) + '\", total:\"true\", limit:\"20\", csrf_token:\"\"} 'params = get_params(first_param);encSecKey = get_encSecKey();json_text = get_json(url, params, encSecKey)json_text = str(json_text, encoding = "utf-8")json_dict = json.loads(json_text)for item in json_dict['comments']:with open('wordcomment.txt','a',encoding='utf-8') as fi:fi.writelines(item['content']+'\n')import jieba #分词f = open('wordcomment.txt','r',encoding = "utf-8").read()s = {}f = jieba.cut(f)for w in f:if len(w) > 1:previous_count = s.get(w,0)s[w] = previous_count+1from wordcloud import WordCloudwordcloud = WordCloud(font_path = 'C:/Users/Windows/fonts/simkai.ttf').fit_words(s)import matplotlib.pyplot as plt #画图plt.imshow(wordcloud) plt.axis("off")plt.show()
