Update app.py

app.py

@@ -433,31 +433,6 @@ with tab3:
         combo_file = pd.concat([cpt_proj, flex_proj], ignore_index=True)
     
     with col2:
-        
-        with st.container():
-            st.dataframe(display_baselines.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(precision=2), use_container_width = True)
-            st.download_button(
-                    label="Export Projections",
-                    data=convert_df_to_csv(export_baselines),
-                    file_name='NFL_proj_export.csv',
-                    mime='text/csv',
-                )
-        
-        with st.container():
-            if 'portfolio' in st.session_state:
-                st.dataframe(st.session_state.portfolio.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(precision=2), use_container_width = True)
-            if 'final_outcomes_export' in st.session_state:            
-                st.download_button(
-                    label="Export Tables",
-                    data=convert_df_to_csv(st.session_state.final_outcomes_export),
-                    file_name='MLB_optimals_export.csv',
-                    mime='text/csv',
-                )
-        
-        with st.container():
-            if 'player_freq' in st.session_state:
-                st.dataframe(st.session_state.player_freq.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(expose_format, precision=2), use_container_width = True)
-        
         if st.button('Optimize'):
             for key in st.session_state.keys():
                 del st.session_state[key]
@@ -466,6 +441,8 @@ with tab3:
             total_proj = 0
             total_own = 0
             optimize_container = st.empty()
+            download_container = st.empty()
+            freq_container = st.empty()
             lineup_display = []
             check_list = []
             lineups = []
@@ -473,7 +450,7 @@ with tab3:
             x = 1
     
             with st.spinner('Wait for it...'):
-                with st.container():
+                with optimize_container:
     
                         while x <= linenum_var1:
                             sorted_lineup = []
@@ -631,6 +608,7 @@ with tab3:
                         st.session_state.portfolio = portfolio.drop_duplicates()
     
                         final_outcomes = portfolio
+                        st.session_state.final_outcomes = portfolio
                         
                         player_freq = pd.DataFrame(np.column_stack(np.unique(st.session_state.portfolio.iloc[:,0:5].values, return_counts=True)),
                                             columns=['Player','Freq']).sort_values('Freq', ascending=False).reset_index(drop=True)
@@ -710,4 +688,20 @@ with tab3:
                             
                             st.session_state.final_outcomes_export = final_outcomes_export.copy()
           
-                        st.session_state.player_freq = player_freq[['Player', 'Position', 'Team', 'Salary', 'Proj Own', 'Exposure']]
+                        st.session_state.player_freq = player_freq[['Player', 'Position', 'Team', 'Salary', 'Proj Own', 'Exposure']]
+                        
+        with optimize_container:
+                    optimize_container = st.empty()
+                    st.dataframe(st.session_state.final_outcomes.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(precision=2), use_container_width = True)
+        with download_container:
+            download_container = st.empty()
+            st.download_button(
+                label="Export Optimals",
+                data=convert_df_to_csv(st.session_state.final_outcomes_export),
+                file_name='NFL_optimals_export.csv',
+                mime='text/csv',
+            )
+        with freq_container:
+            freq_container = st.empty()
+            st.dataframe(st.session_state.player_freq.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(expose_format, precision=2), use_container_width = True)
+