From 0397df2accdadc0e912c04dab5f62b8157c3bb24 Mon Sep 17 00:00:00 2001
From: p4oufk2iw <2488672761@qq.com>
Date: Wed, 18 Sep 2024 03:43:07 +0800
Subject: [PATCH] ADD file via upload

---
 count_danmu.py | 32 ++++++++++++++++++++++++++++++++
 1 file changed, 32 insertions(+)
 create mode 100644 count_danmu.py

diff --git a/count_danmu.py b/count_danmu.py
new file mode 100644
index 0000000..13f4fe8
--- /dev/null
+++ b/count_danmu.py
@@ -0,0 +1,32 @@
+# 统计弹幕次数
+
+
+def count_danmu():
+    # 打开TXT文件以读取数据
+    file_path = '弹幕.txt'
+
+    # 初始化一个空的文本字符串，用于累积所有文本数据
+    danmu_list = []
+
+    with open(file_path, 'r', encoding='utf-8') as file:
+        for line in file:
+            # 在这里处理每一行的数据
+            # 示例：将每一行的弹幕添加到danmu_list列表中
+            danmu_list.append(line.strip())
+
+    # 使用Counter统计弹幕出现次数
+    danmu_counter = Counter(danmu_list)
+    # 筛选与AI技术应用相关的弹幕
+    ai_danmu_counter = {k: v for k, v in danmu_counter.items() if 'AI' in k or '人工智能' in k}
+    # 将筛选后的弹幕转换为Counter对象
+    ai_danmu_counter = Counter(ai_danmu_counter)
+    # 获取AI技术应用方面数量排名前8的弹幕
+    top_8_ai_danmus = ai_danmu_counter.most_common(8)
+
+    # 打印排名前8的AI技术应用方面的弹幕及其出现次数
+    for idx, (danmu, count) in enumerate(top_8_ai_danmus, 1):
+        print(f'排名 #{idx}: 弹幕 "{danmu}" 出现次数：{count}')
+    #top_76016_danmus = danmu_counter.most_common(76016)
+    # 将AI技术应用方面的统计数据写入Excel
+    df = pd.DataFrame(list(ai_danmu_counter.items()), columns=['弹幕', '次数'])
+    df.to_excel('AI技术应用弹幕统计.xlsx', index=False)
\ No newline at end of file