James McCool
Remove filtering of working_portfolio by 'Lineup Edge' in large_field_preset function to allow for broader selection of portfolios, enhancing lineup options.
88b7968
| import pandas as pd | |
| 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['Stack'].unique(): | |
| rows_to_drop = [] | |
| working_portfolio = portfolio.copy() | |
| working_portfolio['median_rank'] = working_portfolio['median'].rank(method='first', ascending=False) | |
| working_portfolio['finish_percentile_rank'] = working_portfolio['Finish_percentile'].rank(method='first', ascending=True) | |
| working_portfolio['rank_agg'] = (working_portfolio['median_rank'] + working_portfolio['finish_percentile_rank']) / 2 | |
| working_portfolio = working_portfolio[working_portfolio['Stack'] == team].sort_values(by='rank_agg', ascending = True) | |
| 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']) | |
| for i in range(1, len(working_portfolio)): | |
| if working_portfolio.loc[i, 'Own'] > curr_own_type_max: | |
| rows_to_drop.append(i) | |
| else: | |
| curr_own_type_max = working_portfolio.loc[i, 'Own'] + (slack_var / 20 * working_portfolio.loc[i, 'Own']) | |
| working_portfolio = working_portfolio.drop(rows_to_drop).reset_index(drop=True) | |
| working_portfolio = working_portfolio.drop(columns=['median_rank', 'finish_percentile_rank', 'rank_agg']) | |
| concat_portfolio = pd.concat([concat_portfolio, working_portfolio]) | |
| if len(concat_portfolio) >= lineup_target: | |
| return concat_portfolio.sort_values(by='Finish_percentile', ascending=True).head(lineup_target) | |
| return concat_portfolio.sort_values(by='Finish_percentile', ascending=True) | |