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36 lines
1.2 KiB
36 lines
1.2 KiB
import jieba
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from PIL import Image
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from wordcloud import WordCloud
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import numpy as np
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import matplotlib.pyplot as plt
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#导入文本内容，删除换行符和空格
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text = open(r"弹幕.txt",encoding='utf-8').read()
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text = text.replace('\n',"").replace("\u3000","")
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#将其分成一个个词
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text_cut = jieba.lcut(text)
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#将分好的词用某个符号分隔开连成字符串
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text_cut = [word for word in text_cut if len(word) > 1]
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text_cut = ' '.join(text_cut)
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#停用词
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#stop_words = set(["的","了","是","和",'这','吧','不','看','啊','我','就','也','那','我','还','吗','你','都'])
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#读取背景图
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background_image = np.array(Image.open('trophy.png'))
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word_cloud = WordCloud(font_path="simsun.ttc",
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background_color = "white",
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mask=background_image,
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collocations = False,#防止词云图出现重复单词
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#stopwords=stop_words,
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max_font_size=100,
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max_words=200,
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min_font_size=10,
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colormap='viridis'
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)
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word_cloud.generate(text_cut)
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image = word_cloud.to_image()
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image.show()
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word_cloud.to_file("词云图.png") |