Update modules/visuals.py

modules/visuals.py

@@ -1,37 +1,25 @@
-
-
-import streamlit as st
-import plotly.express as px
 import pandas as pd
 
 def display_dashboard(df: pd.DataFrame):
     st.subheader("📊 System Summary")
     col1, col2, col3, col4 = st.columns(4)
-
+    
     col1.metric("Total Poles", df.shape[0])
     col2.metric("🚨 Red Alerts", df[df["Alert_Level__c"] == "Red"].shape[0])
     col3.metric("⚡ Power Issues", df[df["Power_Sufficient__c"] == "No"].shape[0])
     col4.metric("📷 Offline Cameras", df[df["Camera_Status__c"] == "Offline"].shape[0])
 
+import streamlit as st
+import plotly.express as px
+
+
 def display_charts(df: pd.DataFrame):
-    st.subheader("⚙ Energy Generation")
     fig_energy = px.bar(
         df,
         x="Name",
         y=["Solar_Generation__c", "Wind_Generation__c"],
-        barmode="group",
-        title="Solar vs Wind Generation"
     )
-    st.plotly_chart(fig_energy)
-
-    st.subheader("🎥 Camera Status Distribution")
-    fig_camera = px.pie(
-        df,
-        names="Camera_Status__c",
-        title="Camera Status",
-        hole=0.4
-    )
-    st.plotly_chart(fig_camera)
+    
 
     st.subheader("🚨 Alert Level Breakdown")
     fig_alerts = px.histogram(
@@ -40,3 +28,5 @@ def display_charts(df: pd.DataFrame):
         title="Number of Poles by Alert Level"
     )
     st.plotly_chart(fig_alerts)
+
+