From 894485e92ca1b4a70b524bb90bc95e12ff69b19c Mon Sep 17 00:00:00 2001
From: pclj6ws49 <yangyan@nau.edu.cn>
Date: Tue, 23 Apr 2024 09:06:23 +0800
Subject: [PATCH] ADD file via upload

---
 eg1.py | 25 +++++++++++++++++++++++++
 1 file changed, 25 insertions(+)
 create mode 100644 eg1.py

diff --git a/eg1.py b/eg1.py
new file mode 100644
index 0000000..df97003
--- /dev/null
+++ b/eg1.py
@@ -0,0 +1,25 @@
+import jieba
+from PIL import Image
+from wordcloud import WordCloud
+import numpy as np
+import matplotlib.pyplot as plt
+
+# 我们导入文本内容，并且去除掉一下换行符和空格，代码如下
+text = open(r"例子.txt",encoding='utf-8').read()
+text = text.replace('\n',"").replace("\u3000","")
+ 
+# 我们需要将其分成一个个的词，这个时候就需要用到jieba模块了，代码如下
+text_cut = jieba.lcut(text)
+# 将分好的词用某个符号分割开连成字符串
+text_cut = ' '.join(text_cut)
+# 结果当中或许存在着不少我们不需要看的、无关紧要的内容，这个时候就需要用到停用词
+stop_words = open(r"stopwords.txt",encoding='utf-8').read().split("\n")
+ 
+# # 绘制词云图的核心代码
+word_cloud = WordCloud(font_path=r"C:/Windows/Fonts/simsun.ttc",
+                       background_color="white",# 词云图的背景颜色
+                       stopwords=stop_words) # 去掉的停词
+word_cloud.generate(text_cut)
+image = word_cloud.to_image()
+image.show()
+word_cloud.to_file("1.png")
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