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49 lines
1.7 KiB
49 lines
1.7 KiB
"""
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生成基于全部弹幕数据的词云图，并进行关键词提取和归一化处理
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"""
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import re
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import pandas as pd
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import numpy as np
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import wordcloud
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from matplotlib.image import imread
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from jieba import analyse
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def blue_color_func(_, __, ___, ____, _random_state=None, **_kwargs):
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"""定义蓝色调色板，用于词云图的颜色设置"""
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return f"hsl(210, 100%, {np.random.randint(50, 90)}%)"
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def normalize_hahaha(text):
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"""归一化处理，将所有类似的“哈哈哈”统一为“哈哈哈”"""
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return re.sub(r'哈{3,}', '哈哈哈', text)
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def wordcloud_generation(danmu_data):
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"""生成词云图并保存"""
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dm_list = danmu_data['danmu'].dropna().astype(str).tolist()
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dm_list = [normalize_hahaha(text) for text in dm_list]
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dm_string = ' '.join(dm_list)
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keywords = analyse.extract_tags(dm_string, topK=100, withWeight=False, allowPOS=())
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keywords = [word for word in keywords if word not in my_stopwords]
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dmreal_string = ' '.join(keywords)
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img = imread("E:/Crawler/output/OIP.jpg")
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wc = wordcloud.WordCloud(
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stopwords=my_stopwords,
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width=1920,
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height=1200,
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background_color='white',
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font_path='msyhl.ttc',
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mask=img,
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max_words=100,
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color_func=blue_color_func,
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).generate(dmreal_string)
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wc.to_file('E:/Crawler/output/alldanmu_dwordcloud.png')
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# 加载数据并生成词云
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dm = pd.read_excel('E:/Crawler/output/All_Danmu.xlsx', sheet_name='Sheet1')
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my_stopwords = {'我', '你', '他', '这', '个', '是', '的', '了', '啊', '吗', '就', '都', '不是', '也', '哈哈哈',
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'吧', '呀', '哦', '呢', '哇', '么', '嘛', '呵呵', '呵', '嘿嘿', '哎呀', '哎', '哼', '呃'}
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wordcloud_generation(dm)
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