quick aim to add SOC to sport selection

Fixing position designations for tennis

Fix formatting in player exposure labels for consistency

ping

Add NBA support for lineup cleaning in load_contest_file.py

fixing NHL formatting

Enhance player name formatting in load_contest_file.py

Add NFL support for lineup cleaning in load_contest_file.py

getting NFL ready and set

Update regex handling for CFB lineup processing in load_contest_file.py

Update regex handling for CFB lineup processing in load_contest_file.py

Reorder columns for CFB lineup processing in load_contest_file.py

intro CFB into sport options

Update portfolio dataframe condition in app.py for improved null handling

Fix portfolio dataframe handling in load_contest_file function

Add 'Backtesting_upload' entry to entry list in load_contest_file function

Enhance load_contest_file function to accept portfolio data for improved data integration

Refactor load_contest_file.py to remove duplicate player entries in dataframes

Add NAS support in load_contest_file.py for lineup processing

Update create_general_comparison.py to refine overall general calculation

Add general comparison feature in app.py and create_general_comparison.py

Rename function create_stack_comparison to create_size_comparison in create_size_comparison.py for consistency with feature naming. This change aligns the function name with its purpose of comparing stack sizes.

Add size comparison feature in app.py and create_size_comparison.py

Add stack comparison feature in app.py and create_stack_comparison.py

Remove debug output for salary dictionary in app.py and correct player exposure percentage calculation in create_player_comparison.py

Refactor player comparison logic in app.py and create_player_comparison.py

Add player comparison feature in app.py and create_player_comparison.py

Refactor WNBA lineup column names in load_contest_file.py

Enhance WNBA lineup parsing in load_contest_file.py

Refactor WNBA lineup column order in load_contest_file.py

Fix WNBA lineup parsing in load_contest_file.py

Update WNBA lineup parsing in load_contest_file.py

Add WNBA support for contest file loading

Add support for GOLF sport in contest file loading

Enhance duplication metrics in app.py and create_general_exposures.py

Enhance general exposures calculation in create_general_exposures.py

Refactor lineup replacement logic in load_contest_file.py

Enhance lineup processing in load_contest_file.py

Comment out player mapping and deduplication in load_contest_file.py to prevent unintended data alterations. This change allows for flexibility in data processing while maintaining the existing structure for future adjustments.

Enhance player data processing in load_contest_file.py by applying mapping and deduplication to both df_helper and df dataframes. This change ensures consistent player information handling across different dataframes, improving data integrity.

Remove table display of salary and cleaned contest data in app.py and load_contest_file.py for a cleaner user interface. This change streamlines the data presentation by eliminating unnecessary table outputs while maintaining existing functionality.

Add handling for 'Showdown' contest type in load_contest_file.py

Update cleaned_df column names in load_contest_file.py to improve clarity and avoid confusion

Update cleaned_df column names in load_contest_file.py for clarity and consistency

Refactor load_contest_file function to include contest type parameter for improved data handling

Refactor contest data handling in app.py and load_contest_file.py for improved clarity and functionality

Remove unnecessary print statements from app.py and load_contest_file.py for cleaner code

Enhance data handling in load_contest_file.py by dropping NA values from BaseName

Update data presentation in load_contest_file.py by replacing entry_list with df['BaseName']

Refactor entry list retrieval in load_contest_file.py for improved clarity