added position filtering to top owned run, also added variable size to top owned run

app.py

@@ -123,11 +123,11 @@ with tab1:
               elif data_var1 != 'User':
                   raw_baselines = fd_roo_raw[fd_roo_raw['slate'] == 'Main Slate']
                   raw_baselines = raw_baselines[raw_baselines['version'] == 'overall']
-        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')
+        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')
@@ -155,7 +155,6 @@ with tab1:
                           working_roo = raw_baselines
                           working_roo.replace('', 0, inplace=True)
                           
-                          
                 own_dict = dict(zip(working_roo.Player, working_roo.Own))
                 team_dict = dict(zip(working_roo.Player, working_roo.Team))
                 opp_dict = dict(zip(working_roo.Player, working_roo.Opp))
@@ -165,7 +164,6 @@ with tab1:
                 if check_seq == 'Single Player':
                     player_var = working_roo.loc[working_roo['Player'] == player_check]
                     player_var = player_var.reset_index()
-                    
                     working_roo = working_roo[working_roo['Position'].isin(pos_var_list)]
                     working_roo = working_roo[working_roo['Team'].isin(team_var1)]
                     working_roo = working_roo.loc[(working_roo['Salary'] >= player_var['Salary'][0] - Salary_var) & (working_roo['Salary'] <= player_var['Salary'][0] + Salary_var)]
@@ -244,19 +242,21 @@ 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 = working_roo[working_roo['Position'] == players_pos]
+                        working_roo = working_roo[working_roo['Team'].isin(team_var1)]
+                        working_roo = working_roo.loc[(working_roo['Salary'] >= player_var['Salary'][0] - Salary_var) & (working_roo['Salary'] <= player_var['Salary'][0] + Salary_var)]
+                        working_roo = working_roo.loc[(working_roo['Median'] >= player_var['Median'][0] - Median_var) & (working_roo['Median'] <= player_var['Median'][0] + Median_var)]
                         
-                        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)]
-                        working_roo_temp = working_roo_temp.loc[(working_roo_temp['Median'] >= player_var['Median'][0] - Median_var) & (working_roo_temp['Median'] <= player_var['Median'][0] + Median_var)]
-                        
-                        flex_file = working_roo_temp[['Player', 'Position', 'Salary', 'Median']]
+                        flex_file = working_roo[['Player', 'Position', 'Salary', 'Median']]
                         flex_file['Floor_raw'] = flex_file['Median'] * .25
                         flex_file['Ceiling_raw'] = flex_file['Median'] * 1.75
                         flex_file['Floor'] = np.where(flex_file['Position'] == 'QB', (flex_file['Median'] * .33), flex_file['Floor_raw'])