app.components.plots module

class app.components.plots.ColorPalette(*values)

Bases: str, Enum

Color palette for plot styling.

MAIN

Primary color for main plot elements.

SECONDARY_LIGHT

Light secondary color for backgrounds.

SECONDARY

Standard secondary color.

SECONDARY_DARK

Dark secondary color for text and borders.

MAIN = '#1a5e9a'

SECONDARY = '#ced4da'

SECONDARY_DARK = '#495057'

SECONDARY_LIGHT = '#e6e6e6'

app.components.plots.plot_best_score_over_iteration(generation_history_scores: Sequence[float]) → None

Plot cumulative best score achieved so far across iterations.

Creates a line plot showing the running maximum score, illustrating the improvement trajectory of the optimization process.

Parameters:

generation_history_scores – Sequence of score values, one per iteration.

app.components.plots.plot_design_setup() → None

Configure matplotlib plot design and styling parameters.

Sets up consistent styling for all plots including fonts, colors, grid, spines, and figure properties using the ColorPalette.

app.components.plots.plot_relative_score_over_iteration(generation_history_scores: Sequence[float]) → None

Plot relative score values normalized to the best score.

Creates a line plot showing how scores change relative to the maximum score achieved, with values ranging from 0 to 1.

Parameters:

generation_history_scores – Sequence of score values, one per iteration.

app.components.plots.plot_score_vs_iteration(generation_history_scores: Sequence[float]) → None

Plot score values across iterations.

Creates a line plot showing how scores change over iterations, displaying all score values with proper scaling and grid.

Parameters:

generation_history_scores – Sequence of score values, one per iteration.