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81 lines
2.5 KiB
81 lines
2.5 KiB
import pandas as pd
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import jieba
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from wordcloud import WordCloud
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import matplotlib.pyplot as plt
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from PIL import Image
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import numpy as np
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import imageio
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import os
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#读取停用词表
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def load_stopwords(file_path):
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with open(file_path, 'r', encoding='utf-8') as f:
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stopwords = set(line.strip() for line in f)
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return stopwords
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#过滤停用词
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def remove_stopwords(words_list, stopwords):
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return [word for word in words_list if word not in stopwords and len(word) > 1]
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def generate_(file_path):
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#读取Excel文件并提取弹幕内容
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df = pd.read_excel(file_path)
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comments = df['danmu'].astype(str)
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text = ' '.join(comments)
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#使用 jieba 分词
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words = jieba.cut(text, cut_all=False)
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#加载停用词表
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stopwords_file = "D://edge//stop.txt" # 替换为实际路径
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stopwords = load_stopwords(stopwords_file)
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#去除停用词
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filtered_words = remove_stopwords(words, stopwords)
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#将过滤后的词汇重新拼接为一个字符串
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words_list = ' '.join(filtered_words)
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#加载形状图片并生成词云
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mask = np.array(Image.open("D://edge//kk.png"))
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#创建一个用于存储帧的文件夹
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if not os.path.exists("wordcloud_frames"):
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os.makedirs("wordcloud_frames")
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#生成多个帧
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filenames = []
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for i in range(10): # 生成10帧
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# 动态改变词云的颜色和随机状态
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wordcloud = WordCloud(
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font_path='simhei.ttf', # 确保支持中文
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background_color='white',
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mask=mask,
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contour_width=1,
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contour_color='black',
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width=800,
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height=600,
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color_func=lambda *args, **kwargs: (np.random.randint(50, 255), np.random.randint(50, 255), np.random.randint(50, 255)), # 随机颜色
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random_state=i # 每帧的随机状态不同
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).generate(words_list)
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# 保存每一帧为图片
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filename = f"wordcloud_frames/frame_{i}.png"
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wordcloud.to_file(filename)
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filenames.append(filename)
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#将所有帧合成为GIF
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with imageio.get_writer("wordcloud_animation.gif", mode="I", duration=0.5) as writer: # duration表示每帧的显示时间
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for filename in filenames:
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image = imageio.imread(filename)
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writer.append_data(image)
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# 清理临时帧文件
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for filename in filenames:
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os.remove(filename)
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print("词云动图生成成功，保存为 'wordcloud_animation.gif'")
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return 0
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