added variable top owned along with adding position specific top owned run

app.py

@@ -110,16 +110,18 @@ with tab1:
                   raw_baselines = proj_dataframe
               elif data_var1 != 'User':
                   raw_baselines = dk_roo_raw[dk_roo_raw['Slate'] == 'Main Slate']
+                  raw_baselines = raw_baselines.sort_values(by='Own', ascending=False)
         elif site_var1 == 'Fanduel':
               if data_var1 == 'User':
                   raw_baselines = proj_dataframe
               elif data_var1 != 'User':
                   raw_baselines = fd_roo_raw[fd_roo_raw['Slate'] == 'Main Slate']
-        check_seq = st.radio("Do you want to check a single player or the top 10 in ownership?", ('Single Player', 'Top 10 Owned'), key='check_seq')
+                  raw_baselines = raw_baselines.sort_values(by='Own', ascending=False)
+        check_seq = st.radio("Do you want to check a single player or the top 10 in ownership?", ('Single Player', 'Top X Owned'), key='check_seq')
         if check_seq == 'Single Player':
             player_check = st.selectbox('Select player to create comps', options = raw_baselines['Player'].unique(), key='dk_player')
-        elif check_seq == 'Top 10 Owned':
-            player_check = raw_baselines['Player'].head(10).tolist()
+        elif check_seq == 'Top X Owned':
+            top_x_var = st.number_input('How many players would you like to check?', min_value = 1, max_value = 10, value = 5, step = 1)
         Salary_var = st.number_input('Acceptable +/- Salary range', min_value = 0, max_value = 1000, value = 300, step = 100)
         Median_var = st.number_input('Acceptable +/- Median range', min_value = 0, max_value = 10, value = 3, step = 1)
         pos_var1 = st.radio("Compare to all positions or specific positions?", ('All Positions', 'Specific Positions'), key='pos_var1')
@@ -232,13 +234,15 @@ with tab1:
                     final_Proj = final_Proj.set_index('Player')
                     st.session_state.final_Proj = final_Proj.sort_values(by='Top_finish', ascending=False)
 
-                elif check_seq == 'Top 10 Owned':
+                elif check_seq == 'Top X Owned':
+                    if pos_var1 == 'Specific Positions':    
+                        raw_baselines = raw_baselines[raw_baselines['Position'].isin(pos_var_list)]
+                    player_check = raw_baselines['Player'].head(top_x_var).tolist()
                     final_proj_list = []
                     for players in player_check:
                         players_pos = pos_dict[players]
                         player_var = working_roo.loc[working_roo['Player'] == players]
                         player_var = player_var.reset_index()
-                        
                         working_roo_temp = working_roo[working_roo['Position'] == players_pos]
                         working_roo_temp = working_roo_temp[working_roo_temp['Team'].isin(team_var1)]
                         working_roo_temp = working_roo_temp.loc[(working_roo_temp['Salary'] >= player_var['Salary'][0] - Salary_var) & (working_roo_temp['Salary'] <= player_var['Salary'][0] + Salary_var)]