Changed source of optimals stats

app.py

@@ -295,27 +295,27 @@ with tab2:
                 st.dataframe(st.session_state.data_export_display.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(precision=2), height=500, use_container_width = True)
         
         with st.container():
-            if 'data_export_display' in st.session_state:
+            if 'working_seed' in st.session_state:
                 # Create a new dataframe with summary statistics
                 summary_df = pd.DataFrame({
                     'Metric': ['Min', 'Average', 'Max', 'STDdev'],
                     'Salary': [
-                        st.session_state.Sim_Winner_Display['salary'].min(),
-                        st.session_state.Sim_Winner_Display['salary'].mean(),
-                        st.session_state.Sim_Winner_Display['salary'].max(),
-                        st.session_state.Sim_Winner_Display['salary'].std()
+                        st.session_state.working_seed['salary'].min(),
+                        st.session_state.working_seed['salary'].mean(),
+                        st.session_state.working_seed['salary'].max(),
+                        st.session_state.working_seed['salary'].std()
                     ],
                     'Proj': [
-                        st.session_state.Sim_Winner_Display['proj'].min(),
-                        st.session_state.Sim_Winner_Display['proj'].mean(),
-                        st.session_state.Sim_Winner_Display['proj'].max(),
-                        st.session_state.Sim_Winner_Display['proj'].std()
+                        st.session_state.working_seed['proj'].min(),
+                        st.session_state.working_seed['proj'].mean(),
+                        st.session_state.working_seed['proj'].max(),
+                        st.session_state.working_seed['proj'].std()
                     ],
                     'Own': [
-                        st.session_state.Sim_Winner_Display['Own'].min(),
-                        st.session_state.Sim_Winner_Display['Own'].mean(),
-                        st.session_state.Sim_Winner_Display['Own'].max(),
-                        st.session_state.Sim_Winner_Display['Own'].std()
+                        st.session_state.working_seed['Own'].min(),
+                        st.session_state.working_seed['Own'].mean(),
+                        st.session_state.working_seed['Own'].max(),
+                        st.session_state.working_seed['Own'].std()
                     ]
                 })