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DFS_Portfolio_Manager

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James McCool

Refine 'Finish_percentile' calculation in predict_dupes.py by adjusting the denominator to improve accuracy. This change enhances the formula by using a fixed multiplier for median values, ensuring more precise percentile results.

4d63f87 9 days ago

clean_player_name.py

423 Bytes

Initial Commit 3 months ago
find_csv_mismatches.py

4.28 kB

Initial Commit 3 months ago
find_name_mismatches.py

4.36 kB

Initial Commit 3 months ago
get_portfolio_names.py

864 Bytes

Add portfolio name extraction and matching in app.py: implement a new function to retrieve unique player names from the portfolio, enhance name matching logic, and update session state with matched names for improved data consistency and analysis. about 2 months ago
hedging_preset.py

4.38 kB

Refactor lineup generation logic in hedging_preset.py to improve processing efficiency. Introduced an initialization counter for lineup adjustments and added checks for empty DataFrames before generating lineups. Enhanced debug messages for better visibility into the lineup concatenation process. 11 days ago
highlight_rows.py

971 Bytes

Initial Commit 3 months ago
large_field_preset.py

1.47 kB

Add volatility preset option in app.py and implement volatility_preset function. Updated lineup generation logic to include new preset for enhanced lineup edge management. 11 days ago
load_csv.py

683 Bytes

Initial Commit 3 months ago
load_dk_fd_file.py

1.33 kB

Refactor file type checks in load_file.py and load_ss_file.py: streamline file extension validation using endswith method for improved readability. Update app.py to handle salary conversion more robustly by removing unnecessary exception handling. 29 days ago
load_file.py

1.26 kB

Remove unnamed columns from uploaded DataFrame in load_file.py: enhance data cleanliness by dropping columns with 'Unnamed' in their names before further processing. 14 days ago
load_ss_file.py

1.14 kB

Refactor file type checks in load_file.py and load_ss_file.py: streamline file extension validation using endswith method for improved readability. Update app.py to handle salary conversion more robustly by removing unnecessary exception handling. 29 days ago
optimize_lineup.py

3.19 kB

Initial Commit 3 months ago
predict_dupes.py

22.3 kB

Refine 'Finish_percentile' calculation in predict_dupes.py by adjusting the denominator to improve accuracy. This change enhances the formula by using a fixed multiplier for median values, ensuring more precise percentile results. 9 days ago
small_field_preset.py

1.68 kB

Add volatility preset option in app.py and implement volatility_preset function. Updated lineup generation logic to include new preset for enhanced lineup edge management. 11 days ago
trim_portfolio.py

2.05 kB

Enhance portfolio trimming logic in trim_portfolio.py by adding calculation for maximum ownership type value when conditions are not met. This adjustment improves the accuracy of the trimming process by ensuring all relevant ownership metrics are considered. 12 days ago
volatility_preset.py

1.74 kB

Update volatility_preset function to use 'Similarity Score' for row filtering instead of 'median'. This change improves the accuracy of lineup adjustments by ensuring the correct comparison for ownership type maximums. 11 days ago