Refactor salary calculation logic in app.py to apply a specific multiplier for NBA players, ensuring accurate salary projections based on sport selection. This change enhances the clarity and correctness of player salary mappings, particularly for NBA contests.

app.py

@@ -540,9 +540,9 @@ with tab1:
             cpt_working['Freq'] = cpt_working['Freq'].astype(int)
             cpt_working['Position'] = cpt_working['Player'].map(maps_dict['Pos_map'])
             if sim_sport_var1 == 'NFL':
-                cpt_working['Salary'] = cpt_working['Player'].map(maps_dict['Salary_map']) * 1.5
-            elif sim_sport_var1 == 'NBA':
                 cpt_working['Salary'] = cpt_working['Player'].map(maps_dict['Salary_map'])
+            elif sim_sport_var1 == 'NBA':
+                cpt_working['Salary'] = cpt_working['Player'].map(maps_dict['Salary_map']) * 1.5
             cpt_working['Proj Own'] = cpt_working['Player'].map(maps_dict['cpt_Own_map']) / 100
             cpt_working['Exposure'] = cpt_working['Freq']/(1000)
             cpt_working['Edge'] = cpt_working['Exposure'] - cpt_working['Proj Own']
@@ -578,16 +578,6 @@ with tab1:
             team_working['Freq'] = team_working['Freq'].astype(int)
             team_working['Exposure'] = team_working['Freq']/(1000)
             st.session_state.team_freq = team_working.copy()
-
-            if sim_site_var1 == 'Draftkings':
-                stack_working = pd.DataFrame(np.column_stack(np.unique(freq_copy.iloc[:,10:11].values, return_counts=True)),
-                                                columns=['Player','Freq']).sort_values('Freq', ascending=False).reset_index(drop=True)
-            elif sim_site_var1 == 'Fanduel':
-                stack_working = pd.DataFrame(np.column_stack(np.unique(freq_copy.iloc[:,9:10].values, return_counts=True)),
-                                                columns=['Player','Freq']).sort_values('Freq', ascending=False).reset_index(drop=True)
-            stack_working['Freq'] = stack_working['Freq'].astype(int)
-            stack_working['Exposure'] = stack_working['Freq']/(1000)
-            st.session_state.stack_freq = stack_working.copy()
             
         with st.container():
             if st.button("Reset Sim", key='reset_sim'):