Update app.py

app.py

@@ -215,8 +215,6 @@ def get_overall_merged_df():
     for i in range(0,4):
         ref_dict['pos_dfs'][i], ref_dict['pos_dicts'][i] =\
             create_overall_dfs(pos_players, ref_dict['pos_dfs'][i], ref_dict['pos_dicts'][i], ref_dict['pos'][i])
-        
-    df_out = pd.concat(ref_dict['pos_dfs'], ignore_index=True)
     
     return ref_dict
 
@@ -703,11 +701,11 @@ with tab2:
             insert_port = 0
         contest_var1 = st.selectbox("What contest size are you simulating?", ('Small', 'Medium', 'Large'))
         if contest_var1 == 'Small':
-            Contest_Size = 1000
+            Contest_Size = 500
         elif contest_var1 == 'Medium':
-            Contest_Size = 5000
+            Contest_Size = 2500
         elif contest_var1 == 'Large':
-            Contest_Size = 10000
+            Contest_Size = 5000
         strength_var1 = st.selectbox("How sharp is the field in the contest?", ('Not Very', 'Average', 'Very'))
         if strength_var1 == 'Not Very':
             sharp_split = .33
@@ -959,7 +957,7 @@ with tab2:
                     
                     FinalPortfolio, maps_dict = run_seed_frame(5, Strength_var, strength_grow, Teams_used, 1000000, field_growth)
                     
-                    Sim_Winners = sim_contest(2500, FinalPortfolio, CleanPortfolio, maps_dict, up_dict, insert_port)
+                    Sim_Winners = sim_contest(5000, FinalPortfolio, CleanPortfolio, maps_dict, up_dict, insert_port)
                     
                     # Initial setup
                     Sim_Winner_Frame = pd.DataFrame(np.concatenate(Sim_Winners), columns=FinalPortfolio.columns.tolist() + ['Fantasy'])
@@ -1002,7 +1000,7 @@ with tab2:
                     st.session_state.player_freq['Position'] = st.session_state.player_freq['Player'].map(maps_dict['Pos_map'])
                     st.session_state.player_freq['Salary'] = st.session_state.player_freq['Player'].map(maps_dict['Salary_map'])
                     st.session_state.player_freq['Proj Own'] = st.session_state.player_freq['Player'].map(maps_dict['Own_map']) / 100
-                    st.session_state.player_freq['Exposure'] = st.session_state.player_freq['Freq']/(2500)
+                    st.session_state.player_freq['Exposure'] = st.session_state.player_freq['Freq']/(5000)
                     st.session_state.player_freq['Edge'] = st.session_state.player_freq['Exposure'] - st.session_state.player_freq['Proj Own']
                     st.session_state.player_freq['Team'] = st.session_state.player_freq['Player'].map(maps_dict['Team_map'])
                     for checkVar in range(len(team_list)):
@@ -1014,7 +1012,7 @@ with tab2:
                     st.session_state.qb_freq['Position'] = st.session_state.qb_freq['Player'].map(maps_dict['Pos_map'])
                     st.session_state.qb_freq['Salary'] = st.session_state.qb_freq['Player'].map(maps_dict['Salary_map'])
                     st.session_state.qb_freq['Proj Own'] = st.session_state.qb_freq['Player'].map(maps_dict['Own_map']) / 100
-                    st.session_state.qb_freq['Exposure'] = st.session_state.qb_freq['Freq']/(2500)
+                    st.session_state.qb_freq['Exposure'] = st.session_state.qb_freq['Freq']/(5000)
                     st.session_state.qb_freq['Edge'] = st.session_state.qb_freq['Exposure'] - st.session_state.qb_freq['Proj Own']
                     st.session_state.qb_freq['Team'] = st.session_state.qb_freq['Player'].map(maps_dict['Team_map'])
                     for checkVar in range(len(team_list)):
@@ -1026,7 +1024,7 @@ with tab2:
                     st.session_state.rb_freq['Position'] = st.session_state.rb_freq['Player'].map(maps_dict['Pos_map'])
                     st.session_state.rb_freq['Salary'] = st.session_state.rb_freq['Player'].map(maps_dict['Salary_map'])
                     st.session_state.rb_freq['Proj Own'] = st.session_state.rb_freq['Player'].map(maps_dict['Own_map']) / 100
-                    st.session_state.rb_freq['Exposure'] = st.session_state.rb_freq['Freq']/2500
+                    st.session_state.rb_freq['Exposure'] = st.session_state.rb_freq['Freq']/5000
                     st.session_state.rb_freq['Edge'] = st.session_state.rb_freq['Exposure'] - st.session_state.rb_freq['Proj Own']
                     st.session_state.rb_freq['Team'] = st.session_state.rb_freq['Player'].map(maps_dict['Team_map'])
                     for checkVar in range(len(team_list)):
@@ -1038,7 +1036,7 @@ with tab2:
                     st.session_state.wr_freq['Position'] = st.session_state.wr_freq['Player'].map(maps_dict['Pos_map'])
                     st.session_state.wr_freq['Salary'] = st.session_state.wr_freq['Player'].map(maps_dict['Salary_map'])
                     st.session_state.wr_freq['Proj Own'] = st.session_state.wr_freq['Player'].map(maps_dict['Own_map']) / 100
-                    st.session_state.wr_freq['Exposure'] = st.session_state.wr_freq['Freq']/2500
+                    st.session_state.wr_freq['Exposure'] = st.session_state.wr_freq['Freq']/5000
                     st.session_state.wr_freq['Edge'] = st.session_state.wr_freq['Exposure'] - st.session_state.wr_freq['Proj Own']
                     st.session_state.wr_freq['Team'] = st.session_state.wr_freq['Player'].map(maps_dict['Team_map'])
                     for checkVar in range(len(team_list)):
@@ -1050,7 +1048,7 @@ with tab2:
                     st.session_state.te_freq['Position'] = st.session_state.te_freq['Player'].map(maps_dict['Pos_map'])
                     st.session_state.te_freq['Salary'] = st.session_state.te_freq['Player'].map(maps_dict['Salary_map'])
                     st.session_state.te_freq['Proj Own'] = st.session_state.te_freq['Player'].map(maps_dict['Own_map']) / 100
-                    st.session_state.te_freq['Exposure'] = st.session_state.te_freq['Freq']/2500
+                    st.session_state.te_freq['Exposure'] = st.session_state.te_freq['Freq']/5000
                     st.session_state.te_freq['Edge'] = st.session_state.te_freq['Exposure'] - st.session_state.te_freq['Proj Own']
                     st.session_state.te_freq['Team'] = st.session_state.te_freq['Player'].map(maps_dict['Team_map'])
                     for checkVar in range(len(team_list)):
@@ -1062,7 +1060,7 @@ with tab2:
                     st.session_state.flex_freq['Position'] = st.session_state.flex_freq['Player'].map(maps_dict['Pos_map'])
                     st.session_state.flex_freq['Salary'] = st.session_state.flex_freq['Player'].map(maps_dict['Salary_map'])
                     st.session_state.flex_freq['Proj Own'] = st.session_state.flex_freq['Player'].map(maps_dict['Own_map']) / 100
-                    st.session_state.flex_freq['Exposure'] = st.session_state.flex_freq['Freq']/2500
+                    st.session_state.flex_freq['Exposure'] = st.session_state.flex_freq['Freq']/5000
                     st.session_state.flex_freq['Edge'] = st.session_state.flex_freq['Exposure'] - st.session_state.flex_freq['Proj Own']
                     st.session_state.flex_freq['Team'] = st.session_state.flex_freq['Player'].map(maps_dict['Team_map'])
                     for checkVar in range(len(team_list)):
@@ -1074,7 +1072,7 @@ with tab2:
                     st.session_state.dst_freq['Position'] = st.session_state.dst_freq['Player'].map(maps_dict['Pos_map'])
                     st.session_state.dst_freq['Salary'] = st.session_state.dst_freq['Player'].map(maps_dict['Salary_map'])
                     st.session_state.dst_freq['Proj Own'] = st.session_state.dst_freq['Player'].map(maps_dict['Own_map']) / 100
-                    st.session_state.dst_freq['Exposure'] = st.session_state.dst_freq['Freq']/2500
+                    st.session_state.dst_freq['Exposure'] = st.session_state.dst_freq['Freq']/5000
                     st.session_state.dst_freq['Edge'] = st.session_state.dst_freq['Exposure'] - st.session_state.dst_freq['Proj Own']
                     st.session_state.dst_freq['Team'] = st.session_state.dst_freq['Player'].map(maps_dict['Team_map'])
                     for checkVar in range(len(team_list)):