James McCool
Enhance app functionality by adding calculations for the highest owned teams and pitchers based on projections, improving user insights into team ownership trends. Refactor small_field_preset function to ensure consistent DataFrame structure by sorting working portfolio by median before returning results.
4507308
| import pandas as pd | |
| def small_field_preset(portfolio: pd.DataFrame, lineup_target: int): | |
| for slack_var in range(1, 10): | |
| rows_to_drop = [] | |
| working_portfolio = portfolio.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 / 10 * working_portfolio.loc[0, 'Weighted Own']) | |
| for i in range(1, len(working_portfolio)): | |
| if working_portfolio.loc[i, 'Weighted Own'] > curr_own_type_max: | |
| rows_to_drop.append(i) | |
| else: | |
| curr_own_type_max = working_portfolio.loc[i, 'Weighted Own'] + (slack_var / 10 * working_portfolio.loc[i, 'Weighted Own']) | |
| working_portfolio = working_portfolio.drop(rows_to_drop).reset_index(drop=True) | |
| if len(working_portfolio) >= lineup_target: | |
| return working_portfolio.sort_values(by='median', ascending=False).head(lineup_target) | |
| return working_portfolio.sort_values(by='median', ascending=False) | |