From fd317fb3dfc5aa85beaf9851a99eeaab7aeb9f66 Mon Sep 17 00:00:00 2001
From: fzu102301136 <3225314707@qq.com>
Date: Sun, 16 Nov 2025 22:10:32 +0800
Subject: [PATCH] ADD file via upload

---
 view_visualizer.py | 44 ++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 44 insertions(+)
 create mode 100644 view_visualizer.py

diff --git a/view_visualizer.py b/view_visualizer.py
new file mode 100644
index 0000000..682542f
--- /dev/null
+++ b/view_visualizer.py
@@ -0,0 +1,44 @@
+import matplotlib.pyplot as plt
+
+# 设置matplotlib支持中文显示
+plt.rcParams["font.family"] = ["SimHei"]
+
+
+class ViewDistributionVisualizer:
+    @staticmethod
+    def plot(view_counts, filename="主流观点分布.png"):
+        """生成主流观点分布柱状图并保存"""
+        # 创建画布，设置大小为10x6
+        plt.figure(figsize=(10, 6))
+        # 定义柱状图颜色列表
+        colors = ['#4CAF50', '#2196F3', '#f44336', '#FFC107', "#5E06EB"]
+        # 绘制柱状图，x轴为观点类别，y轴为对应的弹幕数量
+        bars = plt.bar(view_counts.keys(), view_counts.values(), color=colors)
+        # 设置图表标题
+        plt.title("用户对大语言模型的主要关注点分布")
+        # 设置y轴标签
+        plt.ylabel("弹幕数量")
+        # x轴标签旋转30度，避免文字重叠
+        plt.xticks(rotation=30)
+
+        # 为每个柱子添加数值标签
+        for bar in bars:
+            height = bar.get_height()  # 获取柱子高度（即弹幕数量）
+            # 在柱子顶部居中位置添加数值标签
+            plt.text(bar.get_x() + bar.get_width()/2, height + 0, f"{height}", ha="center")
+
+        # 自动调整布局，避免元素重叠
+        plt.tight_layout()
+        # 保存图表到文件，设置dpi为300以保证清晰度
+        plt.savefig(filename, dpi=300)
+        # 显示图表
+        plt.show()
+        print(f"观点分布图保存: {filename}")
+
+    @staticmethod
+    def print_stats(view_counts):
+        """在控制台打印各观点类别的统计结果"""
+        print("\n===== 主流观点统计 =====")
+        # 遍历观点类别及其对应的弹幕数量并打印
+        for view, count in view_counts.items():
+            print(f"{view}: {count}条")
\ No newline at end of file