Update app.py

app.py

@@ -117,6 +117,24 @@ with tab1:
     today = now 
     yesterday = today - timedelta(days=1)
 
+    df_specific_time_range = building_new[(building_new['time'] >= yesterday) & (building_new['time'] <= now)]
+    data_to_normalize = df_specific_time_range[['x', 'y', 'z']]
+
+    # Applying StandardScaler
+    scaler = StandardScaler()
+    normalized_data = scaler.fit_transform(data_to_normalize)    
+
+    # Adding normalized data back to the DataFrame
+    df_specific_time_range[['x', 'y', 'z']] = normalized_data
+
+    # Streamlit plotting
+    st.title('Normalized values of x, y, z from yesterday to today')
+
+    # Converting the time column to string for better readability in Streamlit plots
+    df_specific_time_range['time'] = df_specific_time_range['time'].astype(str)
+
+    # Plotting using Streamlit's line chart
+    st.line_chart(df_specific_time_range.set_index('time')[['x', 'y', 'z']])
         
 with tab2: