diff --git a/生成词云图和excel.py b/生成词云图和excel.py
new file mode 100644
index 0000000..036ac23
--- /dev/null
+++ b/生成词云图和excel.py
@@ -0,0 +1,40 @@
+from wordcloud import WordCloud
+from collections import Counter
+import matplotlib.pyplot as plt
+import pandas as pd
+
+final_danmu=[]#所有弹幕合集
+final_danmu_ai=[]#所有ai有关弹幕合计
+for num in range(1,301):#遍历爬好的弹幕
+    text_name=f"第{num}个视频弹幕.txt"
+    danmu=[]
+    key=[
+        '人工智能','AI'
+    ]
+    try:
+        with open(f"{text_name}",mode='r',encoding='utf-8') as f:
+            for i in f:
+                danmu.append(i.strip())
+        danmu_ai=[i for i in danmu if any(j in i for j in key)]
+        final_danmu_ai+=danmu_ai
+        final_danmu+=danmu
+    except:
+        continue
+aicount=Counter(final_danmu_ai)
+danmucount=Counter(final_danmu)
+#分别计数
+for i in aicount.most_common(8):#AI有关弹幕排名前8
+    print(f"弹幕：{i[0]}\n次数：{i[1]}\n")
+wordcloud = WordCloud(width=800, height=400, background_color='white',
+                      font_path='msyh.ttc',  # 设置字体路径，可以根据系统字体路径调整
+                      max_words=100, colormap='viridis').generate_from_frequencies(danmucount)
+
+# 显示词云图
+plt.figure(figsize=(10, 5))
+plt.imshow(wordcloud, interpolation='bilinear')
+plt.axis('off')  # 不显示坐标轴
+plt.show()
+
+#写入excel
+df = pd.DataFrame(danmucount.items(), columns=['弹幕内容', '出现次数'])
+df.to_excel("弹幕大全.xlsx", index=False)