Update app.py

app.py

@@ -1098,7 +1098,27 @@ with tab2:
                 del Sim_size
                 
             with st.container():
-                    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)
+                simulate_container = st.empty()
+                if 'player_freq' in st.session_state: 
+                    player_split_var2 = st.radio("Are you wanting to isolate any lineups with specific players?", ('Full Players', 'Specific Players'), key='player_split_var2')
+                    if player_split_var2 == 'Specific Players':
+                              find_var2 = st.multiselect('Which players must be included in the lineups?', options = st.session_state.player_freq['Player'].unique())
+                    elif player_split_var2 == 'Full Players':
+                              find_var2 = st.session_state.player_freq.Player.values.tolist()
+        
+                    if player_split_var2 == 'Specific Players':
+                              st.session_state.Sim_Winner_Display = st.session_state.Sim_Winner_Frame[np.equal.outer(st.session_state.Sim_Winner_Frame.to_numpy(copy=False),  find_var2).any(axis=1).all(axis=1)]
+                    if player_split_var2 == 'Full Players':
+                              st.session_state.Sim_Winner_Display = st.session_state.Sim_Winner_Frame
+                if 'Sim_Winner_Display' in st.session_state:
+                    st.dataframe(st.session_state.Sim_Winner_Display.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').background_gradient(cmap='RdYlGn_r', subset=['Own']).format(precision=2), use_container_width = True)
+                if 'Sim_Winner_Export' in st.session_state:
+                    st.download_button(
+                        label="Export Tables",
+                        data=convert_df_to_csv(st.session_state.Sim_Winner_Export),
+                        file_name='NFL_consim_export.csv',
+                        mime='text/csv',
+                    )
             
             with st.container():
                     tab1, tab2, tab3 = st.tabs(['Overall Exposures', 'CPT Exposures', 'FLEX Exposures'])
@@ -1129,7 +1149,7 @@ with tab2:
 
             st.download_button(
                 label="Export Tables",
-                data=convert_df_to_csv(st.session_state.Sim_Winner_Frame_export),
+                data=convert_df_to_csv(st.session_state.Sim_Winner_Export),
                 file_name='NFL_consim_export.csv',
                 mime='text/csv',
             )