From 54e40721e4398bdb75a065ea7c4a4608a70ce5f0 Mon Sep 17 00:00:00 2001
From: pucvkrxa8 <773824858@qq.com>
Date: Thu, 12 Sep 2024 14:29:03 +0800
Subject: [PATCH] =?UTF-8?q?Delete=20'=E7=AD=9B=E9=80=89AI=E5=85=B3?=
 =?UTF-8?q?=E9=94=AE=E5=AD=97=E5=92=8C=E8=AF=8D=E4=BA=91=E5=9B=BE.py'?=
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---
 筛选AI关键字和词云图.py | 35 --------------------------------
 1 file changed, 35 deletions(-)
 delete mode 100644 筛选AI关键字和词云图.py

diff --git a/筛选AI关键字和词云图.py b/筛选AI关键字和词云图.py
deleted file mode 100644
index d88eb1d..0000000
--- a/筛选AI关键字和词云图.py
+++ /dev/null
@@ -1,35 +0,0 @@
-from wordcloud import WordCloud
-from collections import Counter
-import matplotlib.pyplot as plt
-
-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()
\ No newline at end of file