.

app.py

@@ -407,18 +407,24 @@ def calculate_fit_delta_percent(x_values, y_values, params):
 
 def create_fit_delta_colorscale(cmin, cmax):
     if cmax <= 0:
-        return [[0.0, FIT_RESIDUAL_GOOD_COLOR], [1.0, FIT_RESIDUAL_NEUTRAL_COLOR]]
+        return [[0.0, FIT_RESIDUAL_NEUTRAL_COLOR], [1.0, FIT_RESIDUAL_GOOD_COLOR]]
     if cmin >= 0:
-        return [[0.0, FIT_RESIDUAL_NEUTRAL_COLOR], [1.0, FIT_RESIDUAL_BAD_COLOR]]
+        return [[0.0, FIT_RESIDUAL_BAD_COLOR], [1.0, FIT_RESIDUAL_NEUTRAL_COLOR]]
 
-    zero_position = (0 - cmin) / (cmax - cmin)
+    mapped_cmin = -cmax
+    mapped_cmax = -cmin
+    zero_position = (0 - mapped_cmin) / (mapped_cmax - mapped_cmin)
     return [
-        [0.0, FIT_RESIDUAL_GOOD_COLOR],
+        [0.0, FIT_RESIDUAL_BAD_COLOR],
         [zero_position, FIT_RESIDUAL_NEUTRAL_COLOR],
-        [1.0, FIT_RESIDUAL_BAD_COLOR],
+        [1.0, FIT_RESIDUAL_GOOD_COLOR],
     ]
 
 
+def create_fit_delta_color_values(delta_values):
+    return [-float(v) if np.isfinite(v) else np.nan for v in delta_values]
+
+
 def create_fit_delta_coloraxis(delta_values):
     finite_values = [float(v) for v in delta_values if np.isfinite(v)]
     if not finite_values:
@@ -438,11 +444,17 @@ def create_fit_delta_coloraxis(delta_values):
             cmin = min(cmin, 0.0)
             cmax = max(cmax, 0.0)
 
+    tick_values = np.linspace(cmax, cmin, 5)
     return dict(
         colorscale=create_fit_delta_colorscale(cmin, cmax),
-        cmin=cmin,
-        cmax=cmax,
-        colorbar=dict(title="vs fit (%)", ticksuffix="%"),
+        cmin=-cmax,
+        cmax=-cmin,
+        colorbar=dict(
+            title="vs fit",
+            tickmode="array",
+            tickvals=[-float(v) for v in tick_values],
+            ticktext=[f"{float(v):+.1f}%" for v in tick_values],
+        ),
     )
 
 
@@ -774,7 +786,7 @@ def create_scaling_plot(data_manager: DataManager, period: str, use_pareto: bool
                 y=list(base_y_values),
                 mode="markers",
                 name="Non-Pareto Models" if use_pareto else "All Models",
-                marker=dict(size=12, color=list(base_delta_values), coloraxis="coloraxis", opacity=0.85),
+                marker=dict(size=12, color=create_fit_delta_color_values(base_delta_values), coloraxis="coloraxis", opacity=0.85),
                 text=list(base_names),
                 customdata=list(zip(base_x_values, base_y_values, base_delta_values)),
                 hovertemplate=(
@@ -798,7 +810,7 @@ def create_scaling_plot(data_manager: DataManager, period: str, use_pareto: bool
                 name="Pareto Frontier",
                 marker=dict(
                     size=14,
-                    color=pareto_delta_values,
+                    color=create_fit_delta_color_values(pareto_delta_values),
                     coloraxis="coloraxis",
                     symbol="diamond",
                     opacity=1.0,
@@ -987,7 +999,7 @@ def create_category_scaling_plot(
                         y=list(base_y_vals),
                         mode="markers",
                         name=f"{datasets_label} (Non-Pareto)" if use_pareto else datasets_label,
-                        marker=dict(size=12, color=list(base_delta_vals), coloraxis="coloraxis", opacity=0.85),
+                        marker=dict(size=12, color=create_fit_delta_color_values(base_delta_vals), coloraxis="coloraxis", opacity=0.85),
                         text=list(base_name_vals),
                         customdata=list(zip(base_x_vals, base_y_vals, base_delta_vals)),
                         hovertemplate=(
@@ -1011,7 +1023,7 @@ def create_category_scaling_plot(
                         name="Pareto Frontier",
                         marker=dict(
                             size=14,
-                            color=pareto_delta_vals,
+                            color=create_fit_delta_color_values(pareto_delta_vals),
                             coloraxis="coloraxis",
                             symbol="diamond",
                             opacity=1.0,
@@ -1105,7 +1117,7 @@ def create_category_scaling_plot(
                         y=list(base_y_vals),
                         mode="markers",
                         name=f"{dataset} (Non-Pareto)" if use_pareto else f"{dataset}",
-                        marker=dict(size=10, color=list(base_delta_vals), coloraxis="coloraxis", opacity=0.8),
+                        marker=dict(size=10, color=create_fit_delta_color_values(base_delta_vals), coloraxis="coloraxis", opacity=0.8),
                         text=list(base_name_vals),
                         customdata=list(zip(base_x_vals, base_y_vals, base_delta_vals)),
                         hovertemplate=(
@@ -1130,7 +1142,7 @@ def create_category_scaling_plot(
                         name=f"{dataset} (Pareto)",
                         marker=dict(
                             size=12,
-                            color=pareto_delta_vals,
+                            color=create_fit_delta_color_values(pareto_delta_vals),
                             coloraxis="coloraxis",
                             symbol="diamond",
                             opacity=1.0,