added lineup var control and removed ownership var

app.py

@@ -220,6 +220,7 @@ with tab2:
               
         slate_var1 = st.radio("Which data are you loading?", ('Main Slate', 'Just the Main Slate'))
         site_var1 = st.radio("What site are you working with?", ('Draftkings', 'Fanduel'))
+        lineup_num_var = st.number_input("How many lineups do you want to display?", min_value=1, max_value=500, value=10, step=1)
 
         if site_var1 == 'Draftkings':
             raw_baselines = dk_raw
@@ -233,12 +234,6 @@ with tab2:
                     player_var2 = st.multiselect('Which players do you want?', options = dk_raw['Player'].unique())
             elif player_var1 == 'Full Slate':
                     player_var2 = dk_raw.Player.values.tolist()
-            
-            own_var_low, own_var_high = st.slider("Select ownership range", 
-                                  min_value=float(min_own), 
-                                  max_value=float(max_own), 
-                                  value=(float(min_own), float(max_own)), 
-                                  step=float(10.00))
                     
         elif site_var1 == 'Fanduel':
             raw_baselines = fd_raw
@@ -257,59 +252,42 @@ with tab2:
                                   max_value=float(max_own), 
                                   value=(float(min_own), float(max_own)), 
                                   step=float(10.00))
-                    
-        if st.button("Prepare data export", key='data_export'):
-                data_export = st.session_state.working_seed.copy()
-                st.download_button(
-                    label="Export optimals set",
-                    data=convert_df(data_export),
-                    file_name='NBA_optimals_export.csv',
-                    mime='text/csv',
-                )
             
     with col2:
         
         if site_var1 == 'Draftkings':
             if 'working_seed' in st.session_state:
                 st.session_state.working_seed = st.session_state.working_seed
-#                st.session_state.working_seed = st.session_state.working_seed[st.session_state.working_seed[:,14] >= own_var_low]
-#                st.session_state.working_seed = st.session_state.working_seed[st.session_state.working_seed[:,14] <= own_var_high]
                 if player_var1 == 'Specific Players':
                     st.session_state.working_seed = st.session_state.working_seed[np.equal.outer(st.session_state.working_seed, player_var2).any(axis=1).all(axis=1)]
                 elif player_var1 == 'Full Slate':
                     st.session_state.working_seed = dk_lineups.copy()
-                st.session_state.data_export_display = pd.DataFrame(st.session_state.working_seed[0:151], columns=column_names)
+                st.session_state.data_export_display = pd.DataFrame(st.session_state.working_seed[0:lineup_num_var], columns=column_names)
             elif 'working_seed' not in st.session_state:
                 st.session_state.working_seed = dk_lineups.copy()
                 st.session_state.working_seed = st.session_state.working_seed
-#                st.session_state.working_seed = st.session_state.working_seed[st.session_state.working_seed[:,14] >= own_var_low]
-#                st.session_state.working_seed = st.session_state.working_seed[st.session_state.working_seed[:,14] <= own_var_high]
                 if player_var1 == 'Specific Players':
                     st.session_state.working_seed = st.session_state.working_seed[np.equal.outer(st.session_state.working_seed, player_var2).any(axis=1).all(axis=1)]
                 elif player_var1 == 'Full Slate':
                     st.session_state.working_seed = dk_lineups.copy()
-                st.session_state.data_export_display = pd.DataFrame(st.session_state.working_seed[0:151], columns=column_names)
+                st.session_state.data_export_display = pd.DataFrame(st.session_state.working_seed[0:lineup_num_var], columns=column_names)
             
         elif site_var1 == 'Fanduel':
             if 'working_seed' in st.session_state:
                 st.session_state.working_seed = st.session_state.working_seed
-#                st.session_state.working_seed = st.session_state.working_seed[st.session_state.working_seed[:,14] >= own_var_low]
-#                st.session_state.working_seed = st.session_state.working_seed[st.session_state.working_seed[:,14] <= own_var_high]
                 if player_var1 == 'Specific Players':
                     st.session_state.working_seed = st.session_state.working_seed[np.equal.outer(st.session_state.working_seed, player_var2).any(axis=1).all(axis=1)]
                 elif player_var1 == 'Full Slate':
                     st.session_state.working_seed = fd_lineups.copy()
-                st.session_state.data_export_display = pd.DataFrame(st.session_state.working_seed[0:151], columns=column_names)
+                st.session_state.data_export_display = pd.DataFrame(st.session_state.working_seed[0:lineup_num_var], columns=column_names)
             elif 'working_seed' not in st.session_state:
                 st.session_state.working_seed = fd_lineups.copy()
                 st.session_state.working_seed = st.session_state.working_seed
- #                st.session_state.working_seed = st.session_state.working_seed[st.session_state.working_seed[:,14] >= own_var_low]
-#                st.session_state.working_seed = st.session_state.working_seed[st.session_state.working_seed[:,14] <= own_var_high]
                 if player_var1 == 'Specific Players':
                     st.session_state.working_seed = st.session_state.working_seed[np.equal.outer(st.session_state.working_seed, player_var2).any(axis=1).all(axis=1)]
                 elif player_var1 == 'Full Slate':
                     st.session_state.working_seed = fd_lineups.copy()
-                st.session_state.data_export_display = pd.DataFrame(st.session_state.working_seed[0:151], columns=column_names)
+                st.session_state.data_export_display = pd.DataFrame(st.session_state.working_seed[0:lineup_num_var], columns=column_names)
                 
         with st.container():
             if st.button("Reset Optimals", key='reset3'):