Update app.py

app.py

@@ -128,7 +128,8 @@ def get_top_violations(df, age_group):
     return violations_df.head()
 
 # added interactivity pie plot for part3 (linked with crash stats visualization)
-def create_interactive_pie_chart(violations, selected_violation):
+# def create_interactive_pie_chart(violations, selected_violation):
+def create_interactive_pie_chart(violations, selected_violation, selected_age):
     # Filter data based on selected violation
     filtered_data = violations[violations['Violation'] == selected_violation]
     
@@ -137,7 +138,8 @@ def create_interactive_pie_chart(violations, selected_violation):
         filtered_data,
         names='Severity',
         values='count',
-        title=f'Severity Level Distribution for Violation: {selected_violation}',
+        # title=f'Severity Level Distribution for Violation: {selected_violation}',
+        title=f'Severity Level Distribution for Violation: {selected_violation} - {selected_age}', # dynamically update pie chart's title
         height=600,
         color_discrete_map=severity_colors
     )
@@ -425,7 +427,8 @@ def main():
 
         # If a violation is selected, display the pie chart --> added for part3 (interactive pie chart)
         if st.session_state['selected_violation']:
-            pie_chart = create_interactive_pie_chart(violations, st.session_state['selected_violation'])
+            # pie_chart = create_interactive_pie_chart(violations, st.session_state['selected_violation'])
+            pie_chart = create_interactive_pie_chart(violations, st.session_state['selected_violation'], selected_age) # dynamically update pie chart's title
             st.plotly_chart(pie_chart, use_container_width=True)
         
         # Display statistics