更新箱型圖

app.py

@@ -182,7 +182,7 @@ def calculate_statistics(data_str):
         fig.suptitle('Statistical analysis visualization', fontsize=16, fontweight='bold')
         
         # 1. 直方圖
-        axes[0].hist(data, bins=min(20, len(set(data))), alpha=0.7, color='skyblue', edgecolor='black')
+        axes[0].hist(data, bins=min(100, len(set(data))), alpha=0.7, color='skyblue', edgecolor='black')
         axes[0].axvline(arithmetic_mean, color='red', linestyle='--', linewidth=2, label=f'Mean: {arithmetic_mean:.2f}')
         axes[0].axvline(median, color='green', linestyle='--', linewidth=2, label=f'Median: {median:.2f}')
         axes[0].set_title('Histograms and Central Tendency', fontsize=14)
@@ -192,19 +192,28 @@ def calculate_statistics(data_str):
         axes[0].grid(True, alpha=0.3)
         
         # 2. 箱形圖
-        box_data = axes[1].boxplot(data, patch_artist=True, widths=0.6)
+        box_data = axes[1].boxplot(data, patch_artist=True, widths=0.6, vert=False, whis=[0, 100])
         box_data['boxes'][0].set_facecolor('lightblue')
         box_data['boxes'][0].set_alpha(0.7)
         axes[1].set_title('Box Plot (Quartiles)', fontsize=14)
-        axes[1].set_ylabel('Value')
+        axes[1].set_xlabel('Value')
         axes[1].grid(True, alpha=0.3)
         
         # 添加四分位數標籤
-        axes[1].text(1.15, q1, f'Q1: {q1:.2f}', ha='left', va='center', fontsize=10)
-        axes[1].text(1.15, median, f'Q2: {median:.2f}', ha='left', va='center', fontsize=10, weight='bold')
-        axes[1].text(1.15, q3, f'Q3: {q3:.2f}', ha='left', va='center', fontsize=10)
-        axes[1].text(1.15, np.min(data), f'Min: {np.min(data):.2f}', ha='left', va='center', fontsize=9, alpha=0.7)
-        axes[1].text(1.15, np.max(data), f'Max: {np.max(data):.2f}', ha='left', va='center', fontsize=9, alpha=0.7)
+        # axes[1].text(q1, 1.1, f'Q1: {q1:.2f}', va='bottom', ha='center', fontsize=10)
+        # axes[1].text(median, 1.1, f'Q2: {median:.2f}', va='bottom', ha='center', fontsize=10, weight='bold')
+        # axes[1].text(q3, 1.1, f'Q3: {q3:.2f}', va='bottom', ha='center', fontsize=10)
+        # axes[1].text(np.min(data), 1.1, f'Min: {np.min(data):.2f}', va='bottom', ha='center', fontsize=9, alpha=0.7)
+        # axes[1].text(np.max(data), 1.1, f'Max: {np.max(data):.2f}', va='bottom', ha='center', fontsize=9, alpha=0.7)
+        
+        y_offset = [1.05, 1.10, 1.15, 1.20, 1.25]  # 依序往上排
+        axes[1].text(q1, y_offset[0], f'Q1: {q1:.2f}', ha='center', fontsize=10)
+        axes[1].text(median, y_offset[1], f'Q2: {median:.2f}', ha='center', fontsize=10, weight='bold')
+        axes[1].text(q3, y_offset[2], f'Q3: {q3:.2f}', ha='center', fontsize=10)
+        axes[1].text(np.min(data), y_offset[3], f'Min: {np.min(data):.2f}', ha='center', fontsize=9, alpha=0.7)
+        axes[1].text(np.max(data), y_offset[4], f'Max: {np.max(data):.2f}', ha='center', fontsize=9, alpha=0.7)
+
+
         
         plt.tight_layout()
         
@@ -251,8 +260,8 @@ def create_interface():
                 with gr.Row():
                     n_generate = gr.Slider(
                         minimum=10, 
-                        maximum=1000, 
-                        value=50, 
+                        maximum=10000, 
+                        value=100, 
                         step=10,
                         label="資料點數 (n)"
                     )
@@ -287,8 +296,8 @@ def create_interface():
                 gr.Markdown("#### 📈 分佈形狀參數")
                 with gr.Row():
                     target_skew = gr.Slider(
-                        minimum=-5.0,
-                        maximum=5.0,
+                        minimum=-100.0,
+                        maximum=100.0,
                         value=0,
                         step=0.1,
                         label="目標偏態 (Skewness)",
@@ -296,8 +305,8 @@ def create_interface():
                     )
                     
                     target_kurt = gr.Slider(
-                        minimum=-2.0,
-                        maximum=10.0,
+                        minimum=-100.0,
+                        maximum=100.0,
                         value=0,
                         step=0.1,
                         label="目標峰態 (Kurtosis)",