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以下文章来源于数据STUDIO，作者龙哥带你飞

Python分析抖音用户行为数据视频讲解地址

https:///v_1meaw5kgh3s.html" class_name = "select-item" class_name_father = "bar-li" links = get_javascript0_links(url, class_name, class_name_father) head_data = pd.DataFrame(columns=['tv_name','uid','contentsId','contents','likeCount']) for num, link in enumerate(links): tv_name = f"第{num+1}集" tv_id = get_tvid(url=link) data = get_data(tv_name,tv_id) head_data = pd.concat([head_data,data],ignore_index = True) time.sleep(sleep_second) return head_data

获取到的数据结果如下：

>>> data = main()>>> data.info()"""<class 'pandas.core.frame.DataFrame'>RangeIndex: 246716 entries, 0 to 246715Data columns (total 5 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 tv_name 246716 non-null object 1 uid 246716 non-null object 2 contentsId 246716 non-null object 3 contents 246716 non-null object 4 likeCount 246716 non-null objectdtypes: object(5)memory usage: 9.4+ MB""">>> data.sample(10)

词云图先分词

运用中文分词库jieba分词，并去除撤销词。

def get_cut_words(content_series): """ :param content_series: 需要分词的内容 :return: list, 点击class为class_name进去的超链接 """ # 读入停用词表 import jieba stop_words = [] with open("stop_words.txt", 'r', encoding='utf-8') as f: lines = f.readlines() for line in lines: stop_words.append(line.strip()) # 添加关键词 my_words = ['倪妮', '刘诗诗', '锁锁', '蒋三岁', '陈道明'] for i in my_words: jieba.add_word(i) # 自定义停用词 my_stop_words = ['哈哈哈','哈哈哈哈', '真的'] stop_words.extend(my_stop_words) # 分词 word_num = jieba.lcut(content_series.str.cat(sep='。'), cut_all=False) word_num_selected = [i for i in word_num if i not in stop_words and len(i)>=2] # 条件筛选 return word_num_selected

后画图

运用升级版词云图库stylecloud可视化弹幕结果。

import stylecloudfrom IPython.display import Image text1 = get_cut_words(content_series=data.contents)stylecloud.gen_stylecloud(text=' '.join(text1), collocations=False, font_path=r'‪C:\Windows\Fonts\msyh.ttc', icon_name='fas fa-rocket',size=400, output_name='流金岁月-词云.png')Image(filename='流金岁月-词云.png')

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