Update app.py

app.py

@@ -887,8 +887,10 @@ with tab2:
             sharp_split = .75
             Strength_var = .01
             scaling_var = 15
-        Sim_Winner_Frame = pd.DataFrame(columns=['QB', 'RB1', 'RB2', 'WR1', 'WR2', 'WR3', 'TE', 'FLEX', 'DST', 'User/Field', 'Salary', 'Projection', 'Own', 'Fantasy', 'GPP_Proj'])
-        Sim_Winner_Export = pd.DataFrame(columns=['QB', 'RB1', 'RB2', 'WR1', 'WR2', 'WR3', 'TE', 'FLEX', 'DST', 'User/Field', 'Salary', 'Projection', 'Own', 'Fantasy', 'GPP_Proj'])
+        if 'Sim_Winner_Frame' not in st.session_state:
+            st.session_state.Sim_Winner_Frame = pd.DataFrame(columns=['QB', 'RB1', 'RB2', 'WR1', 'WR2', 'WR3', 'TE', 'FLEX', 'DST', 'User/Field', 'Salary', 'Projection', 'Own', 'Fantasy', 'GPP_Proj'])
+        if 'Sim_Winner_Export' not in st.session_state:
+            st.session_state.Sim_Winner_Export = pd.DataFrame(columns=['QB', 'RB1', 'RB2', 'WR1', 'WR2', 'WR3', 'TE', 'FLEX', 'DST', 'User/Field', 'Salary', 'Projection', 'Own', 'Fantasy', 'GPP_Proj'])
             
     with col2:
         with st.container():
@@ -1221,10 +1223,10 @@ with tab2:
                     Sim_Winner_Frame = Sim_Winner_Frame.astype(type_cast_dict)
                     
                     # Sorting
-                    Sim_Winner_Frame = Sim_Winner_Frame.sort_values(by='GPP_Proj', ascending=False)
+                    st.session_state.Sim_Winner_Frame = Sim_Winner_Frame.sort_values(by='GPP_Proj', ascending=False)
                     
                     # Data Copying
-                    Sim_Winner_Export = Sim_Winner_Frame.copy()
+                    st.session_state.Sim_Winner_Export = Sim_Winner_Frame.copy()
                     
                     # Conditional Replacement
                     columns_to_replace = ['QB', 'RB1', 'RB2', 'WR1', 'WR2', 'WR3', 'TE', 'FLEX', 'DST']
@@ -1235,7 +1237,7 @@ with tab2:
                         replace_dict = fdid_dict
                     
                     for col in columns_to_replace:
-                        Sim_Winner_Export[col].replace(replace_dict, inplace=True)
+                        st.session_state.Sim_Winner_Export[col].replace(replace_dict, inplace=True)
     
                     
                     player_freq = pd.DataFrame(np.column_stack(np.unique(Sim_Winner_Frame.iloc[:,0:9].values, return_counts=True)),
@@ -1338,11 +1340,13 @@ with tab2:
                 
         with st.container():
             simulate_container = st.empty()
-            st.dataframe(Sim_Winner_Frame.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').background_gradient(cmap='RdYlGn_r', subset=['Own']).format(precision=2), use_container_width = True)
+            if "df" not in st.session_state:
+                st.session_state["df"] = None
+            st.dataframe(st.session_state.Sim_Winner_Frame.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').background_gradient(cmap='RdYlGn_r', subset=['Own']).format(precision=2), use_container_width = True)
         
             st.download_button(
                 label="Export Tables",
-                data=convert_df_to_csv(Sim_Winner_Export),
+                data=convert_df_to_csv(st.session_state.Sim_Winner_Export),
                 file_name='NFL_consim_export.csv',
                 mime='text/csv',
             )