diff --git a/excel.py b/excel.py
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+++ b/excel.py
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+import pandas as pd
+from collections import Counter
+
+# 读取弹幕文件
+def read_danmakus_from_file(file_path):
+    with open(file_path, 'r', encoding='utf-8') as file:
+        return [line.strip() for line in file if line.strip()]  # 移除空行并去除每行的前后空白字符
+
+# 统计弹幕
+def count_danmakus(danmakus):
+    counter = Counter(danmakus)
+    # 返回数量最多的前8项
+    return counter.most_common(8)
+
+# 保存到Excel
+def save_to_excel(data, filename):
+    df = pd.DataFrame(data, columns=['Danmaku', 'Count'])
+    df.to_excel(filename, index=False)
+
+# 筛选与关键词相关的弹幕
+def filter_keyword_related_danmakus(danmakus, keywords):
+    return [danmaku for danmaku in danmakus if any(keyword in danmaku for keyword in keywords)]
+
+# 读取弹幕数据
+danmaku_file_path = '弹幕.txt'
+danmakus = read_danmakus_from_file(danmaku_file_path)
+
+# 定义关键词列表
+keywords = ['AI', '人工智能', '计算机']
+
+# 筛选与关键词相关的弹幕
+keyword_related_danmakus = filter_keyword_related_danmakus(danmakus, keywords)
+
+# 统计弹幕
+keyword_danmaku_counts = count_danmakus(keyword_related_danmakus)
+
+# 保存到Excel
+excel_file_path = 'keyword_related_danmaku_counts.xlsx'
+save_to_excel(keyword_danmaku_counts, excel_file_path)
+
+print(f"与关键词相关的弹幕数据统计已保存到 {excel_file_path}")
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