finalized dupe math, maintaining on staging

another small adj

SMALL adj

Update dupes calculation in 'predict_dupes.py' by changing the denominator in the scaling factor for CPT_Own_percent_rank from 100 to 90, aiming to further enhance prediction accuracy.

Adjust dupes calculation in 'predict_dupes.py' by modifying the salary scaling factor from 0.96 to 0.98, aiming to enhance prediction accuracy.

ping

contintuing with dupe prediction adj

ping

Remove table display in 'app.py' and adjust dupes calculation in 'predict_dupes.py' to include a new scaling factor for CPT_Own_percent_rank, enhancing prediction accuracy.

ping

Update dupes calculation in 'predict_dupes.py' to adjust the scaling factor for CPT_Own_percent_rank, enhancing the precision of predictions.

Refine dupes calculation in 'predict_dupes.py' by incorporating CPT_Own_percent_rank for improved accuracy in predictions.

printing a check frame

printing check frame

debugging

ping

continuing to adjust dupe predictions

continuing to adjust dupe predictions

Update dupes calculation formula in 'predict_dupes.py' to use salary for scaling instead of max_salary, improving accuracy of predictions.

adjusting dupe prediction formula

Add debug print statements in 'predict_dupes.py' to log key variables during calculation, aiding in the validation of the dupes calculation process.

removing Fanduel specific logic from Predict Dupes

checking a debug

ping

Refactor multiselect options in 'Manage Portfolio' section of 'app.py' to remove unnecessary sorting, improving performance and clarity in player and team selection.

extending display frame

Remove debug print statements from 'app.py' to streamline data loading process and enhance code clarity, while retaining essential data validation steps in 'load_ss_file.py'.

Add debug print statements in 'load_ss_file.py' to log NaN counts after replacing 0 with NaN, enhancing data validation during file loading.

Remove redundant NaN logging from 'Data Load' section of 'app.py' and add initial data load debug statements in 'load_ss_file.py' to enhance data validation and transparency during file loading.

Add additional logging in 'Data Load' section of 'app.py' to display total rows, NaN counts per column, and samples of rows with NaN values, enhancing data validation during file loading.

Add debug print statements in 'Data Load' section of 'app.py' to log the count of missing values in the portfolio for improved data validation during file loading.

Add debug print statement in 'Data Load' section of 'app.py' to log the count of missing values in the portfolio, aiding in data validation during file loading.

Add comment in 'Manage Portfolio' section of 'app.py' regarding potential changes to Showdown position handling, indicating future considerations for CPT/FLEX options.

Update 'Manage Portfolio' section in 'app.py' to source specific positions from 'player_columns' instead of 'working_frame', improving data accuracy for user selections.

Refactor player comparison logic in 'exposure_spread' function to streamline conditions based on 'type_var', ensuring accurate filtering for Showdown scenarios while maintaining existing functionality.

Refactor salary and projection calculations in 'exposure_spread' function to apply conditional logic based on 'type_var', improving accuracy for Showdown scenarios.

Add debug print statements in 'exposure_spread' function to log comparable player lists, aiding in tracking player selection during execution.

Remove debug print statements and refine player data retrieval logic in 'exposure_spread' function to improve clarity and maintainability.

Add debug print statement for working columns in 'exposure_spread' function to aid in tracking column data during execution.

Refactor 'exposure_spread' function to support specific column selections for player data retrieval, enhancing flexibility in player filtering logic.

Add debug print statements in 'exposure_spread' function to log player exposure and lineup changes for better tracking during testing.

testing exposure management with specific column selections

Enhance player filtering logic in 'Manage Portfolio' section of 'app.py' by implementing conditional checks for both alpha and beta players, improving the accuracy of row selection based on user-defined criteria.

Refactor player presence logic in 'Manage Portfolio' section of 'app.py' to improve clarity by using direct row value checks instead of row values array, enhancing code readability.

Update 'Manage Portfolio' section in 'app.py' to include unique keys for CPT/FLEX selection boxes, enhancing state management and user experience.

Add CPT/FLEX selection options in 'Manage Portfolio' section of 'app.py' to enhance player filtering capabilities based on slot type.

Enhance min/max input constraints in 'Manage Portfolio' section of 'app.py' for better user guidance and validation.

More fine grained min/max filters in macro

Adjust column widths in 'Manage Portfolio' section of 'app.py' to improve layout and enhance user interaction with the reset portfolio button.

Update row selection logic in 'Manage Portfolio' section of 'app.py' to use 'display_frame' for adding selected rows to custom export, improving data handling and user experience.