Update app.py

app.py

@@ -725,7 +725,7 @@ st.markdown(f"""
 # """, unsafe_allow_html=True)
 st.markdown("""
 <h3 class="objective-title">OBJECTIVE 3: Alarm Frequency Analysis — When, Where, and Which Tyres Matter Most?</h3>
-<small>*Showing all alarm types: Normal (Green), Amber (Yellow), Red (Red)</small>
+<small>*Showing all alarm types: Normal (Green), Abnormal (Red)</small>
 """, unsafe_allow_html=True)
 
 # Filter semua data (termasuk alarm normal)
@@ -796,7 +796,7 @@ with col_b:
         )
         st.plotly_chart(fig_donut, use_container_width=True)
 
-# =============== COL A: Radial Charts (Count Alarm per Jam - Semua Jenis) ===============
+# =============== COL A: Radial Charts (Count Alarm per Jam - 2 Warna: Normal vs Abnormal) ===============
 with col_a:
     st.markdown('<h5 style="text-align:center; margin-top: 0;">Alarm Count by Hour (Radial)</h5>', unsafe_allow_html=True)
 
@@ -814,31 +814,26 @@ with col_a:
         for i, pos in enumerate([1, 2, 3, 4], 1):
             pos_data = alarm_data[alarm_data['Position'] == pos].copy()
             if not pos_data.empty:
-                # Kelompokkan jam dan alarm
-                hourly_counts = pos_data.groupby(['hour', 'Alarm_Category']).size().unstack(fill_value=0)
-                
-                # Ambil total alarm per jam
-                total_per_hour = hourly_counts.sum(axis=1).reindex(range(24), fill_value=0)
-
-                # Warna berdasarkan jenis alarm dominan per jam
-                dominant_alarm_per_hour = pos_data.groupby('hour')['Alarm_Category'].apply(
-                    lambda x: x.mode().iloc[0] if not x.empty else 'Normal'
+                # Kelompokkan jam
+                hourly_counts = pos_data.groupby('hour').size().reindex(range(24), fill_value=0)
+
+                # Tentukan apakah jam tersebut "Normal" atau "Abnormal"
+                # Normal: hanya jika semua alarm di jam tersebut adalah "No Alarm"
+                # Abnormal: jika ada minimal satu "Amber" atau "Red"
+                hourly_status = pos_data.groupby('hour')['Alarm Status'].apply(
+                    lambda x: 'Normal' if (x == 'No Alarm').all() else 'Abnormal'
                 ).reindex(range(24), fill_value='Normal')
 
-                # Map warna sesuai permintaan Anda
-                color_map = {
-                    'Normal': '#2E7D32',      # Hijau
-                    'Amber Alarm': '#FFC107', # Kuning
-                    'Red Alarm': '#D32F2F'    # Merah
-                }
-                colorscale = [color_map.get(cat, '#2E7D32') for cat in dominant_alarm_per_hour]
+                # Warna: Hijau untuk Normal, Merah untuk Abnormal
+                color_map = {'Normal': '#2E7D32', 'Abnormal': '#D32F2F'}
+                colorscale = [color_map.get(status, '#2E7D32') for status in hourly_status]
 
                 # Sudut: jam 0 → 0° (atas), jam 6 → 90° (kanan), jam 12 → 180° (bawah), jam 18 → 270° (kiri)
                 theta = [h * 15 for h in range(24)]  # 24 jam * 15° = 360°
 
                 fig_radial.add_trace(
                     go.Barpolar(
-                        r=total_per_hour.values,
+                        r=hourly_counts.values,
                         theta=theta,
                         name=f'Position {pos}',
                         marker_color=colorscale,
@@ -856,7 +851,14 @@ with col_a:
                 angularaxis=dict(
                     direction="clockwise",
                     period=24,
-                    rotation=90  # Jam 0 di atas
+                    rotation=90,  # Jam 0 di atas
+                    tickvals=[0, 90, 180, 270],
+                    ticktext=["00:00", "06:00", "12:00", "18:00"],
+                    tickfont=dict(size=12)
+                ),
+                radialaxis=dict(
+                    visible=True,
+                    range=[0, max(hourly_counts.max() * 1.1, 1)]
                 )
             )
         )
@@ -906,7 +908,6 @@ st.markdown(f"""
     </div>
 </div>
 """, unsafe_allow_html=True)
-
 # ================= OBJECTIVE 3 =================
 st.markdown('<h3 class="objective-title">OBJECTIVE 4: Correlation — How Does Heat Influence Pressure and Which Tyres Trigger Red Alarms?</h3>', unsafe_allow_html=True)