Refactor salary display in app.py to use HTML for improved formatting and alignment. This change enhances visual clarity by presenting salary and median values in a more structured manner, contributing to a better user experience in the lineup summary.

Enhance salary display logic in app.py by introducing conditional formatting for total salary. If the total salary exceeds the limit, it now displays an error message, improving user clarity in the lineup summary.

Update label in app.py from "Rem$ Player" to "Per Player" to enhance clarity in the salary display, improving user understanding in the lineup summary.

Update markdown formatting in app.py to improve the display of remaining salary per player, enhancing visual clarity with a minor adjustment to the label for better user engagement in the lineup summary.

Adjust column layout in app.py to improve the display of player cost per player, enhancing visual clarity with a markdown format for better user engagement in the lineup summary.

Update markdown formatting in app.py to enhance the display of salary, median, and ownership percentage, improving clarity and user engagement in the lineup summary.

Update markdown labels in app.py for salary, median, and ownership percentage display to improve clarity and user understanding in the lineup summary.

Enhance lineup summary display in app.py by expanding the layout to three columns. Introduced a markdown format for displaying total salary, median, and ownership percentages, improving visual clarity and user engagement.

Refine totals display in app.py by ensuring consistent rounding for median and ownership values. This update enhances clarity in the lineup summary, improving the overall user experience.

Update player cost display in app.py to round values for clarity and replace dataframe with a summary of total salary and statistics. This change enhances the user experience by providing a more concise overview of lineup performance.

Update lineup display in app.py to refine summary row presentation by including only 'Salary', 'Median', and 'Own%' columns. Introduced a two-column layout for displaying player cost per player alongside the updated dataframe, enhancing user experience in lineup management.

Refactor player selection logic in app.py to filter eligible players based on their 'Order' value before applying auto-fill options. This change improves the accuracy of selected players for lineup management, ensuring only valid entries are considered.

Refactor Quick Fill Options in app.py by simplifying the layout of the auto-fill selections. This change enhances the user interface by removing unnecessary columns, streamlining the quick fill process for better usability in lineup management.

Enhance player selection logic in app.py by adding functionality to automatically fill eligible lineup slots based on selected players. This update improves lineup management by preventing duplicates and ensuring compliance with position limits, while also maintaining the existing quick fill options.

Refactor Quick Fill Options in app.py by reintroducing the feature with improved layout and logic for auto-filling players based on team selection and size. This enhances user experience in lineup management.

Add team filter and quick fill options in app.py to enhance lineup management. Introduced UI elements for auto-filling players based on selected team and size, improving user experience and efficiency in lineup building.

Refactor lineup display in app.py by removing '2x%' column from background gradient styling, enhancing clarity in player data presentation and maintaining focus on key statistics.

Remove '2x%' column from display in Handbuilder tab of app.py to streamline player data presentation and enhance clarity in lineup management.

Remove specific CSS styling for text input height in app.py to streamline the user interface and maintain consistency across components.

Adjust CSS styling in app.py to set a specific height for text input fields within the Handbuilder tab, enhancing the visual consistency of the user interface.

Refactor lineup display logic in app.py to ensure that the player data is only processed when the filled lineup is not empty. This change enhances the efficiency of the display logic and maintains clarity in the representation of player statistics.

Update Handbuilder lineup DataFrame in app.py to include '2x%' column, enhancing player data management and display. Adjust related logic for player selection and summary calculations to ensure accurate representation of player statistics, improving user experience and clarity.

Update subheader in Handbuilder tab of app.py to "Lineup Build" for improved clarity and context in lineup management.

Update Handbuilder tab in app.py to replace empty string values with NaN for 'Order', 'Salary', 'Median', and 'Own%' columns in the lineup DataFrame. Adjust background gradient logic for improved visual representation of player data, enhancing clarity and user experience.

Enhance DataFrame display in Handbuilder tab of app.py by applying background gradients to player selection and lineup tables. This improves visual clarity and user experience when reviewing player data.

Implement single-row selection for lineup removal in Handbuilder tab of app.py, allowing users to easily remove players from the lineup. Update DataFrame display logic to enhance user interaction and streamline lineup management.

Comment out player eligibility filtering in Handbuilder tab of app.py to temporarily disable player selection logic, allowing for further testing and adjustments without affecting current functionality.

Update Handbuilder lineup DataFrame in app.py to include 'Order' column for improved player management and display. Adjust related logic to ensure consistent handling of player data across the application, enhancing clarity and user experience.

Enhance lineup display in Handbuilder tab of app.py by implementing an explicit order for player slots. Update DataFrame to show filled and unfilled slots clearly, and adjust summary calculations to ensure accurate representation of total salary, median, and ownership percentage. This improves user experience and data clarity.

Refactor player selection logic in Handbuilder tab of app.py to improve eligibility checks based on position limits. Update the DataFrame to include a 'Slot' column for better lineup management and ensure players are only added to available positions, enhancing user experience and data integrity.

Add 'Position' column to summary row in Handbuilder tab of app.py to provide a comprehensive overview of player data, enhancing clarity and user experience.

Implement position limits and filtering logic in Handbuilder tab of app.py to manage player selection more effectively. This update enhances lineup management by preventing selection of players whose positions have reached their maximum count, improving user experience.

Add position limits and filtering for player selection in Handbuilder tab of app.py. Implement logic to exclude players whose positions have reached their maximum count, enhancing lineup management and user experience.

Refine player selection DataFrame in Handbuilder tab of app.py by adding duplicate removal based on 'Player' and 'Team', ensuring data integrity and enhancing user experience.

Update player selection DataFrame in Handbuilder tab of app.py to remove duplicate entries based on 'Player' and 'Team', enhancing data integrity and improving user experience.

Sort player selection DataFrame by 'Order' in Handbuilder tab of app.py to enhance display clarity and ensure consistent ordering of players based on their designated order, improving user experience.

Add session state management for player selection in Handbuilder tab of app.py by introducing a unique key to reset selection upon player choice. This enhancement improves user experience by ensuring accurate player selection and preventing stale selections during interactions.

Implement lineup management in Handbuilder tab of app.py by introducing a session state for the lineup, allowing players to be added without duplicates. Update summary calculations to reflect the current lineup and add a "Clear Lineup" button for user convenience, enhancing overall functionality and user experience.

Refactor player selection handling in Handbuilder tab of app.py by removing unnecessary session state variables and simplifying the selection logic. Update the display of selected players to directly reflect current selections, enhancing clarity and user experience.

Enhance player selection state management in Handbuilder tab of app.py by initializing and maintaining a session state for selected indices. Implement logic to handle out-of-range selections and update the display based on current selections, improving user experience and selection accuracy.

Refactor player selection display in Handbuilder tab of app.py to utilize a dataframe for selected players, improving selection accuracy and user experience. Update summary row calculation to align with new selection method, ensuring accurate display of total salary, median, and ownership percentage.

Refactor player selection logic in Handbuilder tab of app.py to initialize session state DataFrame for player selections, ensuring all players are included when teams change. Update filtering mechanism to improve selection accuracy and user experience.

Add summary row to player selection display in Handbuilder tab of app.py, calculating total salary, median, and ownership percentage, and displaying the most common team for improved data insight and user experience.

Adjust team filter UI in Handbuilder tab of app.py to spread toggle switches across fewer columns, improving layout and user experience.

Add team filter UI in Handbuilder tab of app.py to allow users to toggle team selections, enhancing player selection flexibility and improving user experience.

Enhance "Clear Data" button functionality in Handbuilder tab of app.py by introducing a session state variable to control the key, ensuring a proper reset of the player selection editor on each rerun, thereby improving user interactivity and experience.

Refactor "Clear Data" button functionality in Handbuilder tab of app.py to ensure proper data reset on rerun, enhancing user interactivity and maintaining a clean state for player selections.

Update "Clear Data" button functionality in Handbuilder tab of app.py to trigger a rerun, improving data refresh behavior and enhancing user interactivity.

Refactor player selection logic in Handbuilder tab of app.py by removing the "Clear All Selections" button and simplifying the state management. Introduce a "Clear Data" button to reset selections, enhancing user experience and interactivity.

Implement "Clear All Selections" button in Handbuilder tab of app.py to reset player selections, enhancing user interactivity. Update session state management to preserve user selections across reruns, improving overall functionality.