Rename 'Diversity' to 'Avg Diversity' in analysis tables for clarity and consistency in 'Manage Portfolio'.

adding diversity to analysis tables

Refactor combo analysis controls in 'Manage Portfolio' to use a form for submission, improving user interaction and streamlining the analysis process.

Update column exclusion logic in 'Manage Portfolio' to correctly reflect excluded columns in the multiselect options, enhancing user experience in combo analysis.

Update column exclusion logic in 'Manage Portfolio' to allow for dynamic exclusion of selected columns, enhancing user control in combo analysis.

Enhance combo analysis controls in 'Manage Portfolio' by adding options to exclude additional columns, improving user flexibility in player combination analysis.

Refactor exposure_spread function to improve readability by consolidating conditional checks for stacking sports and comparable players filtering.

Add specific replacements feature in 'Manage Portfolio' to enhance player selection options and improve exposure calculations.

Refactor 'Manage Portfolio' logic to directly use reassess_edge for both working and export frames, streamlining data processing and enhancing efficiency.

Refactor combined frame creation in 'Manage Portfolio' to exclude unnecessary columns, enhancing data processing efficiency and consistency.

catch for HF version of segmented_control

Update streamlit version in requirements.txt to 1.48.0 for improved features and performance.

Add debug print statements in app.py to track the number of modified rows and the length of combined frames during 'Manage Portfolio' processing, aiding in troubleshooting and data validation.

Refactor reassessment logic in app.py to utilize combined frames for 'Manage Portfolio' and 'Export Base', improving data processing and consistency in predictions.

Update column widths in app.py for improved layout consistency and responsiveness in the UI.

Remove width property from segmented control in app.py to streamline layout and improve responsiveness in tab selection.

Update segmented control in app.py to include width property for improved layout and consistency in tab selection between 'Data Load' and 'Manage Portfolio'.

Add segmented control for tab selection in app.py to enhance navigation between 'Data Load' and 'Manage Portfolio' sections.

Enhance UI by adding custom styles for segmented controls and select elements in app.py, improving user experience and visual consistency.

Refactor position filtering logic in create_position_export_dict to use DataFrame indexing for improved clarity and performance in filtering positions across various sports.

Refactor position filtering logic in create_position_export_dict to use str.contains for NCAAF, improving flexibility in position matching.

Enhance position filtering in create_position_export_dict to include 'QB' for NCAAF, and streamline sorting logic for Draftkings and other sites.

restructuring of own_rank mapping

Add FLEX5 ownership calculations in predict_dupes.py to enhance ownership metrics and improve portfolio analysis.

Refactor predict_dupes.py to remove FLEX5 ownership calculations, simplifying the ownership metrics and improving code clarity.

Add debug print statement for flex rank in predict_dupes.py to enhance troubleshooting capabilities.

Add debug print statement for flex ownerships in predict_dupes.py to assist with troubleshooting

print some debug for showdown

Update sport selection options in app.py to remove duplicate 'NBA' entry, ensuring clarity and consistency in user choices.

Update sport selection logic in app.py to include 'WNBA' and 'NBA' in all_column_stack_sports, enhancing flexibility in stacking options for users.

Refactor sport selection logic in app.py to utilize stacking_sports variable, enhancing maintainability and consistency in user options.

Update stacking_sports list in app.py to include 'NCAAF' and modify sport selection options for improved user experience.

Update reassess_edge calls in app.py to include salary_max parameter for improved salary handling in working_frame and export_base data processing.

Enhance reassess_edge function by adding max_salary parameter to improve salary handling in the predict_dupes call, ensuring more accurate edge reassessment.

Refactor own_product calculation in predict_dupes.py to remove Contest_Size influence, streamlining the computation of player ownership metrics.

Update dupes calculation in predict_dupes.py by modifying the divisor in the dupes formula from 90 to 120, improving the accuracy of duplicate predictions based on player ownership and contest size.

Refactor own_product calculation in predict_dupes.py to remove Contest_Size dependency, simplifying the computation of player ownership metrics.

Enhance predict_dupes function by adding max_salary parameter for improved salary handling and adjusting sample range slider step in app.py for better user experience.

adjusted own scaling

cleaning up salary subtraction

Update dupes calculation in predict_dupes.py by adjusting salary thresholds from 59700 and 49700 to 60000 and 50000 respectively, enhancing the accuracy of duplicate predictions across different contest sizes.

Refine dupes calculation in predict_dupes.py by updating salary thresholds from 60000 and 50000 to 59700 and 49700 respectively, improving accuracy in duplicate predictions across various contest sizes.

more contest size reductions

REDUCING cONTEST sIZE VARIABLE

ADJUSTED DUPE COUNTS

Update predict_dupes.py functionality

Sort portfolio by 'Dupes' before displaying the top 10 entries in predict_dupes.py to enhance visibility of duplicate player selections.

printing table of predict_dupes

Comment out unnecessary column drops in predict_dupes.py to retain data for potential future use, enhancing flexibility in the duplicate prediction process.

ping