From 756e5178b5db535fc214c671cbc40d5417c69e50 Mon Sep 17 00:00:00 2001
From: pzb7h6yxf <1736289433@qq.com>
Date: Tue, 17 Sep 2024 15:22:45 +0800
Subject: [PATCH] Delete '2.2.2.py'

---
 2.2.2.py | 41 -----------------------------------------
 1 file changed, 41 deletions(-)
 delete mode 100644 2.2.2.py

diff --git a/2.2.2.py b/2.2.2.py
deleted file mode 100644
index 98d80af..0000000
--- a/2.2.2.py
+++ /dev/null
@@ -1,41 +0,0 @@
-import jieba
-import wordcloud
-import imageio
-import pandas as pd  # 用于读取Excel文件
-
-# 读取图片作为词云的形状
-img = imageio.imread('四叶草1.png')
-
-# 使用pandas读取Excel文件中的所有列
-df = pd.read_excel('top_ai_danmakus.xlsx')
-
-# 将Excel所有列的数据拼接成一个长字符串
-book = ''
-
-# 遍历每一列并将内容合并成字符串
-for column in df.columns:
-    # 将当前列转换为字符串并拼接到 book 变量
-    book += ' '.join(df[column].astype(str)) + ' '
-
-# 使用jieba进行分词
-book_list = jieba.lcut(book)
-book_str = ' '.join(book_list)
-
-# 打印分词后的字符串
-print(book_str)
-
-# 创建词云
-wc = wordcloud.WordCloud(
-    width=500,
-    height=500,
-    background_color='white',
-    mask=img,
-     stopwords={'main','Taipei','afraid','aiden','Britain'},  # 可添加不需要的停用词
-    font_path='msyh.ttc'  # 设置中文字体路径
-)
-
-# 生成词云
-wc.generate(book_str)
-
-# 保存词云图
-wc.to_file('词云图.png')