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), Abnormal (Red)</small>
+<small>*Showing all alarm types: Normal (Green), Amber (Yellow), Red (Red)</small>
 """, unsafe_allow_html=True)
 
 # Filter semua data (termasuk alarm normal)
@@ -744,7 +744,7 @@ with col_b:
         alarm_data['Alarm_Category'] = alarm_data['Alarm Status'].apply(
             lambda x: 'Normal' if x == 'No Alarm'
             else 'Red Alarm' if x == 'Red High Pressure'
-            else 'Amber Alarm'  # Semua selain No Alarm dan Red High Pressure
+            else 'Amber Alarm'
         )
 
         # Buat 4 donut chart
@@ -796,9 +796,9 @@ with col_b:
         )
         st.plotly_chart(fig_donut, use_container_width=True)
 
-# =============== COL A: Radial Charts (Count Alarm per Jam - 2 Warna: Normal vs Abnormal) ===============
+# =============== COL A: Radial Charts (Count Alarm per Jam - Stacked by Status) ===============
 with col_a:
-    st.markdown('<h5 style="text-align:center; margin-top: 0;">Alarm Count by Hour (Radial)</h5>', unsafe_allow_html=True)
+    st.markdown('<h5 style="text-align:center; margin-top: 0;">Alarm Count by Hour (Radial - Stacked)</h5>', unsafe_allow_html=True)
 
     if alarm_data.empty:
         st.warning("No data to display.")
@@ -814,29 +814,53 @@ 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
-                hourly_counts = pos_data.groupby('hour').size().reindex(range(24), fill_value=0)
+                # Kelompokkan jam dan status
+                hourly_status_counts = pos_data.groupby(['hour', 'Alarm Status']).size().unstack(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')
+                # Ambil masing-masing kategori
+                hourly_normal = hourly_status_counts.get('No Alarm', pd.Series(0, index=range(24)))
+                hourly_amber = hourly_status_counts.get('Amber High Pressure', pd.Series(0, index=range(24)))  # Ganti sesuai nama kolom Anda
+                hourly_red = hourly_status_counts.get('Red High Pressure', pd.Series(0, index=range(24)))
 
-                # Warna: Hijau untuk Normal, Merah untuk Abnormal
-                color_map = {'Normal': '#2E7D32', 'Abnormal': '#D32F2F'}
-                colorscale = [color_map.get(status, '#2E7D32') for status in hourly_status]
+                # Total per jam
+                total_per_hour = hourly_normal + hourly_amber + hourly_red
 
-                # 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°
+                # Sudut: jam 3 → 0° (atas), jam 12 → 90° (kanan), jam 9 → 180° (bawah), jam 6 → 270° (kiri)
+                theta = [(h - 3) * 15 % 360 for h in range(24)]  # Jam 3 pagi = 0°
 
+                # Tambahkan bar polar untuk Normal (hijau)
                 fig_radial.add_trace(
                     go.Barpolar(
-                        r=hourly_counts.values,
+                        r=hourly_normal.values,
                         theta=theta,
-                        name=f'Position {pos}',
-                        marker_color=colorscale,
+                        name='Normal',
+                        marker_color='#2E7D32',  # Hijau
+                        opacity=0.8
+                    ),
+                    row=(i - 1) // 2 + 1,
+                    col=(i - 1) % 2 + 1
+                )
+
+                # Tambahkan bar polar untuk Amber (kuning) — ditumpuk di atas Normal
+                fig_radial.add_trace(
+                    go.Barpolar(
+                        r=hourly_amber.values,
+                        theta=theta,
+                        name='Amber',
+                        marker_color='#FFC107',  # Kuning
+                        opacity=0.8
+                    ),
+                    row=(i - 1) // 2 + 1,
+                    col=(i - 1) % 2 + 1
+                )
+
+                # Tambahkan bar polar untuk Red (merah) — ditumpuk di atas Amber
+                fig_radial.add_trace(
+                    go.Barpolar(
+                        r=hourly_red.values,
+                        theta=theta,
+                        name='Red',
+                        marker_color='#D32F2F',  # Merah
                         opacity=0.8
                     ),
                     row=(i - 1) // 2 + 1,
@@ -851,14 +875,14 @@ with col_a:
                 angularaxis=dict(
                     direction="clockwise",
                     period=24,
-                    rotation=90,  # Jam 0 di atas
+                    rotation=0,  # Jam 3 pagi di atas
                     tickvals=[0, 90, 180, 270],
-                    ticktext=["00:00", "06:00", "12:00", "18:00"],
+                    ticktext=["03:00", "12:00", "21:00", "18:00"],
                     tickfont=dict(size=12)
                 ),
                 radialaxis=dict(
                     visible=True,
-                    range=[0, max(hourly_counts.max() * 1.1, 1)]
+                    range=[0, max(total_per_hour.max() * 1.1, 1)]
                 )
             )
         )