心血来潮，研究下词云，先上图，最终效果
代码
import numpy as npimport requestsfrom bs4 import BeautifulSoupfrom wordcloud import WordCloudimport PIL.Image as imageimport jieba# 爬取弹幕url= '/128614096.xml'request = requests.get(url)#获取页面request.encoding='utf8'#因为是中文，我们需要进行转码，否则出来的都是unicodesoup = BeautifulSoup(request.text, 'lxml')results = soup.find_all('d')#找出所有'd'comments = [comment.text for comment in results]#因为出来的时候是bs4格式的，我们需要把他转化成liscomments = [x.upper() for x in comments]#统一大小写comments_clean = [comment.replace(' ','') for comment in comments]#去掉空格set(comments_clean)#看一下都有啥类似的没用的词语useless_words = ['//TEST','/TESR','/TEST','/TEST/','/TEXT','/TEXTSUPREME','/TSET','/Y','\\TEST']comments_clean = [element for element in comments_clean if element not in useless_words]#去掉不想要的字符fnl_words = [word for word in comments_clean if len(word)>1]#去掉单字st = ''.join(fnl_words)#拼成一个字符串cut_text = " ".join(jieba.cut(st)) #分词mask = np.array(image.open(r"C:\Users\jh\PycharmProjects\ftp\mask.png"))wordcloud = WordCloud(# 添加遮罩层mask=mask,# 生成中文字的字体,必须要加,不然看不到中文font_path = "C:\Windows\Fonts\msyh.ttc").generate(cut_text)image_produce = wordcloud.to_image()image_produce.show()
注意：
####### 想制作别的视频词云只需要更换URL即可 ， 哔哩哔哩cid自行百度
