diff --git a/tongji.py b/tongji.py
new file mode 100644
index 0000000..033d342
--- /dev/null
+++ b/tongji.py
@@ -0,0 +1,36 @@
+import re
+from collections import Counter
+import pandas as pd
+
+# 假设这是从文件"弹幕.txt"中读取的所有弹幕列表
+with open("弹幕.txt", "r", encoding="utf-8") as file:
+    all_danmaku = file.readlines()
+
+# 使用正则表达式匹配包含"AI"或者"人工智能"的弹幕
+ai_keywords = ("AI", "人工智能")
+danmu_pattern = re.compile(f"({'|'.join(ai_keywords)})", re.IGNORECASE)
+ai_danmus = [danmu.strip() for danmu in all_danmaku if danmu_pattern.search(danmu)]
+
+# 统计弹幕出现的次数
+danmu_counter = Counter(ai_danmus)
+
+# 获取出现次数最多的前8个弹幕
+top_8_danmus = danmu_counter.most_common(8)
+
+# 将统计结果写入Excel表
+def write_danmu_stats_to_excel(top_danmus, filename="AI_danmu_stats.xlsx"):
+    # 创建DataFrame
+    stats_df = pd.DataFrame(top_danmus, columns=["弹幕内容", "数量"])
+    # 写入Excel文件
+    with pd.ExcelWriter(filename, engine='openpyxl') as writer:
+        stats_df.to_excel(writer, index=False, sheet_name='AI Danmu Stats')
+
+# 输出排名前8的弹幕
+print("排名前8的包含'AI'或'人工智能'的弹幕:")
+for danmu, count in top_8_danmus:
+    print(f"{danmu}: {count}")
+
+# 写入Excel
+write_danmu_stats_to_excel(top_8_danmus)
+
+print("统计数据已写入Excel表。")
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