Minor title changes

main.py

@@ -560,7 +560,7 @@ def render_vehicles(vehicle):
                 if getattr(sig, "skip_plot", False):
                     continue
                 unit_str = f" ({sig.unit})" if sig.unit else ""
-                title = f"{frame_def.can_id} - {sig.name}{unit_str}"
+                title = f"{sig.name}{unit_str}"
                 fig = vehicle_module.plot_signal(
                     decoded, sig.name, title=title, color=frame_def.color
                 )

vehicle/komatsu.py

@@ -42,7 +42,7 @@ load_state_sig.skip_plot = True
 DECODER_RULES: Dict[str, FrameDef] = {
     normalize_id("0x011F"): FrameDef(
         can_id="0x011F",
-        description="Engine ECM Main Broadcast",
+        description="ECM",
         color="#e41a1c",
         signals=[
             SignalDef(
@@ -56,7 +56,7 @@ DECODER_RULES: Dict[str, FrameDef] = {
                 unit="RPM",
             ),
             SignalDef(
-                name="Pressure / Load",
+                name="Engine Load",
                 bit_start=16,
                 bit_length=16,
                 factor=0.05,
@@ -69,7 +69,7 @@ DECODER_RULES: Dict[str, FrameDef] = {
     ),
     normalize_id("0x0CFF3300"): FrameDef(
         can_id="0x0CFF3300",
-        description="Engine temperature and load state block",
+        description="Engine temperatures",
         color="#0080fe",
         signals=[
             SignalDef(
@@ -94,7 +94,7 @@ DECODER_RULES: Dict[str, FrameDef] = {
             ),
             load_state_sig,
             CustomPlotDef(
-                name="Engine Load State",
+                name="Engine Load",
                 plot_func=lambda decoded, color: plot_load_state_pie(decoded, color),
             ),
         ],
@@ -118,7 +118,18 @@ _LOAD_STATE_COLORS = {
 def plot_load_state_pie(decoded_df, color):
     """Render a pie chart showing the distribution of engine load states."""
     if decoded_df is None or decoded_df.empty or "Engine Load State" not in decoded_df.columns:
-        return px.pie(title="No data for Engine Load State")
+        fig = px.pie()
+        fig.update_layout(
+            title=dict(
+                text="Engine Load State",
+                font=dict(size=14, color="#1a1a1a"),
+                x=0.5, xanchor="center", pad=dict(b=10)
+            ),
+            height=280,
+            template="plotly_white",
+            annotations=[dict(text="No data", showarrow=False, x=0.5, y=0.5, font=dict(size=13, color="#888"))]
+        )
+        return fig
 
     states = pd.to_numeric(decoded_df["Engine Load State"], errors="coerce").dropna().astype(int)
 
@@ -135,7 +146,6 @@ def plot_load_state_pie(decoded_df, color):
         values="Count",
         names="Legend",
         color="State",
-        title="Engine Load State Distribution",
         color_discrete_map=_LOAD_STATE_COLORS,
     )
 
@@ -145,7 +155,16 @@ def plot_load_state_pie(decoded_df, color):
         domain={"x": [0.05, 0.55], "y": [0.05, 0.95]},
     )
     fig.update_layout(
-        margin=dict(l=0, r=10, t=40, b=0),
+        title=dict(
+            text="Engine Load State",
+            font=dict(size=14, color="#1a1a1a"),
+            x=0.5, xanchor="center", pad=dict(b=10)
+        ),
+        height=280,
+        autosize=True,
+        template="plotly_white",
+        margin=dict(l=20, r=20, t=55, b=45),
+        font=dict(family="Segoe UI, Arial, sans-serif", size=11, color="#2a2a2a"),
         legend=dict(x=0.6, y=0.5),
     )
     return fig