webinterface.pages.base_pages.utils.resulttable module#

webinterface.pages.base_pages.utils.resulttable.configure_aggrid(df: DataFrame)[source]#

Configures the styling and options for AgGrid based on column category.

Parameters:

df (pd.DataFrame) – The display-ready DataFrame.

Returns:

AgGrid gridOptions dictionary.

Return type:

dict

webinterface.pages.base_pages.utils.resulttable.prepare_display_dataframe(df: DataFrame, highlight_id: str | None) → DataFrame[source]#

Prepares the DataFrame for display, including column filtering, ordering, row highlighting, and numeric formatting.

Parameters:

  • df (pd.DataFrame) – The filtered dataset for display.

  • highlight_id (str or None) – The ProteoBench ID to highlight (adds a marker in the ‘selected’ column).

Returns:

A formatted and sorted DataFrame ready for rendering.

Return type:

pd.DataFrame

webinterface.pages.base_pages.utils.resulttable.render_aggrid(df: DataFrame, grid_options, key)[source]#

Renders a DataFrame using AgGrid with specified grid options and a unique key.

Parameters:

  • df (pd.DataFrame) – The DataFrame to display in the grid.

  • grid_options (dict) – Configuration options for AgGrid.

  • key (Any) – Unique identifier for the grid instance (AgGrid does not work with UUID keys).

Returns:

This function renders the grid in the Streamlit interface and does not return a value.

Return type:

None