Refactor large_field_preset and small_field_preset functions to use 'Stack' instead of 'Team' for team-based filtering, ensuring consistency in portfolio adjustments and improving accuracy in lineup targeting.

global_func/large_field_preset.py

@@ -5,9 +5,9 @@ def large_field_preset(portfolio: pd.DataFrame, lineup_target: int):
     for slack_var in range(1, 20):
         concat_portfolio = pd.DataFrame(columns=portfolio.columns)
 
-        for team in portfolio['Team'].unique():
+        for team in portfolio['Stack'].unique():
             rows_to_drop = []
-            working_portfolio = portfolio[portfolio['stack'] == team].sort_values(by='Finish_percentile', ascending = True)
+            working_portfolio = portfolio[portfolio['Stack'] == team].sort_values(by='Finish_percentile', ascending = True)
             working_portfolio = working_portfolio[working_portfolio['Lineup Edge'] > 0]
             working_portfolio = working_portfolio.reset_index(drop=True)
             curr_own_type_max = working_portfolio.loc[0, 'Own'] + (slack_var / 20 * working_portfolio.loc[0, 'Own'])

global_func/small_field_preset.py

@@ -4,10 +4,10 @@ def small_field_preset(portfolio: pd.DataFrame, lineup_target: int):
 
     for slack_var in range(1, 20):
         concat_portfolio = pd.DataFrame(columns=portfolio.columns)
-        
-        for team in portfolio['Team'].unique():
+
+        for team in portfolio['Stack'].unique():
             rows_to_drop = []
-            working_portfolio = portfolio[portfolio['stack'] == team].sort_values(by='Own', ascending = False).reset_index(drop=True)
+            working_portfolio = portfolio[portfolio['Stack'] == team].sort_values(by='Own', ascending = False).reset_index(drop=True)
             working_portfolio = working_portfolio[working_portfolio['Finish_percentile'] <= .10]
             working_portfolio = working_portfolio.reset_index(drop=True)
             curr_own_type_max = working_portfolio.loc[0, 'Weighted Own'] + (slack_var / 20 * working_portfolio.loc[0, 'Weighted Own'])