Update app.py

app.py

@@ -18,35 +18,35 @@ scenario_map = {"0": "No cleansing", "A": "Urgent cleansing", "B": "Urgent+Low u
 # --- Traffic light plotting utility ---
 def plot_dimension(dim_col, scenario):
     value = data.set_index("scenario").loc[scenario, dim_col]
-    fig, ax = plt.subplots(figsize=(3, 6))  # MUCH taller!
-    # Traffic light backgrounds (now horizontal, for vertical bar)
+    fig, ax = plt.subplots(figsize=(3, 6))
+    # Traffic light backgrounds
     ax.axhspan(0, 0.6, color="#FF4D4F", alpha=0.35)
     ax.axhspan(0.6, 0.8, color="#FFE58F", alpha=0.35)
-    ax.axhspan(0.8, 1, color="#52C41A", alpha=0.35)
-    # Value marker (black horizontal line)
-    ax.axhline(value, color='black', lw=6, xmin=0.20, xmax=0.80)
-    # Value text, bold, big, just right of line
-    ax.text(0.5, value, f"{value:.3f}", ha='center', va='bottom', fontsize=22, color='black', weight='bold')
-    # Make it look like a traffic light by hiding x-axis and thick y-axis ticks
+    ax.axhspan(0.8, 0.95, color="#52C41A", alpha=0.35)  # Now top at 0.95
+    # Value marker (smaller, thinner)
+    ax.axhline(value, color='black', lw=2, xmin=0.35, xmax=0.65)
+    # Value text
+    ax.text(0.5, value, f"{value:.3f}", ha='center', va='bottom', fontsize=19, color='black', weight='bold')
+    # Styling
     ax.set_xlim(0, 1)
-    ax.set_ylim(0, 1)
+    ax.set_ylim(0, 0.95)
     ax.set_xticks([])
-    ax.set_yticks([0, 0.6, 0.8, 1])
-    ax.set_yticklabels(["0.0", "0.6", "0.8", "1.0"], fontsize=16)
-    # Only left spine visible, thicker
+    ax.set_yticks([0, 0.6, 0.8, 0.95])
+    ax.set_yticklabels(["0.0", "0.6", "0.8", "1.0"], fontsize=14)
     for spine in ax.spines.values():
         spine.set_visible(False)
     ax.spines['left'].set_visible(True)
     ax.spines['left'].set_linewidth(2)
-    # Title, bold, multiline
+    # Title with smaller padding
     ax.set_title(
         f"{dim_col.replace('_', ' ').title()}\n({scenario_map[scenario]})",
-        fontsize=15, weight='bold', pad=20
+        fontsize=14, weight='bold', pad=6
     )
     plt.tight_layout()
     return fig
 
 
+
 # --- Scenario selector callback ---
 def show_plots(scenario):
     fig1 = plot_dimension("consistency_score", scenario)