Update generate_gif.py

generate_gif.py

@@ -4,50 +4,51 @@ from wordcloud import WordCloud
 import matplotlib.pyplot as plt
 from PIL import Image
 import numpy as np
-import imageio
+import imageio.v2 as imageio
 import os
 
-#读取停用词表
 def load_stopwords(file_path):
+#加载停用词表。
     with open(file_path, 'r', encoding='utf-8') as f:
         stopwords = set(line.strip() for line in f)
     return stopwords
 
-#过滤停用词
 def remove_stopwords(words_list, stopwords):
+ #   从词汇列表中移除停用词。
     return [word for word in words_list if word not in stopwords and len(word) > 1]
 
-
-
 def generate_(file_path):
-    #读取Excel文件并提取弹幕内容
+# 生成包含弹幕数据的词云 GIF 文件。
+
+    # 读取 Excel 文件并提取弹幕内容
     df = pd.read_excel(file_path)
     comments = df['danmu'].astype(str)
     text = ' '.join(comments)
 
-    #使用 jieba 分词
+    # 使用 jieba 分词
     words = jieba.cut(text, cut_all=False)
 
-    #加载停用词表
+    # 加载停用词表
     stopwords_file = "D://edge//stop.txt"  # 替换为实际路径
     stopwords = load_stopwords(stopwords_file)
 
-    #去除停用词
+    # 去除停用词
     filtered_words = remove_stopwords(words, stopwords)
 
-    #将过滤后的词汇重新拼接为一个字符串
+    # 将过滤后的词汇重新拼接为一个字符串
     words_list = ' '.join(filtered_words)
 
-    #加载形状图片并生成词云
-    mask = np.array(Image.open("D://edge//kk.png"))
+    # 加载形状图片并生成词云
+    mask = np.array(Image.open("D://edge//kk.png"))  # 替换为实际路径
 
-    #创建一个用于存储帧的文件夹
-    if not os.path.exists("wordcloud_frames"):
-        os.makedirs("wordcloud_frames")
+    # 创建一个用于存储帧的文件夹
+    frames_dir = "wordcloud_frames"
+    if not os.path.exists(frames_dir):
+        os.makedirs(frames_dir)
 
-    #生成多个帧
+    # 生成多个帧
     filenames = []
-    for i in range(10):  # 生成10帧
+    for i in range(10):  # 生成 10 帧
         # 动态改变词云的颜色和随机状态
         wordcloud = WordCloud(
             font_path='simhei.ttf',  # 确保支持中文
@@ -57,24 +58,29 @@ def generate_(file_path):
             contour_color='black',
             width=800,
             height=600,
-            color_func=lambda *args, **kwargs: (np.random.randint(50, 255), np.random.randint(50, 255), np.random.randint(50, 255)),  # 随机颜色
+            color_func=lambda *args, **kwargs: (
+                np.random.randint(50, 255), 
+                np.random.randint(50, 255), 
+                np.random.randint(50, 255)
+            ),  # 随机颜色
             random_state=i  # 每帧的随机状态不同
         ).generate(words_list)
 
         # 保存每一帧为图片
-        filename = f"wordcloud_frames/frame_{i}.png"
+        filename = os.path.join(frames_dir, f"frame_{i}.png")
         wordcloud.to_file(filename)
         filenames.append(filename)
 
-    #将所有帧合成为GIF
-    with imageio.get_writer("wordcloud_animation.gif", mode="I", duration=0.5) as writer:  # duration表示每帧的显示时间
+    # 将所有帧合成为 GIF
+    gif_path = "wordcloud.gif"
+    with imageio.get_writer(gif_path, mode="I", duration=0.5) as writer:  # duration 表示每帧的显示时间
         for filename in filenames:
-            image = imageio.imread(filename)
+            image = imageio.imread(filename)  # 读取每一个图片
             writer.append_data(image)
 
     # 清理临时帧文件
     for filename in filenames:
         os.remove(filename)
 
-    print("词云动图生成成功，保存为 'wordcloud_animation.gif'")
+    print(f"GIF created at {gif_path}")
     return 0