OCDocker.OCScore.Analysis.Plotting.Colouring module

Color palette utilities for Analysis plots.

Usage:

import OCDocker.OCScore.Analysis.Plotting.Colouring as ocstatcolour

OCDocker.OCScore.Analysis.Plotting.Colouring.LOGGER = <Logger ocdocker.ocscore.analysis.plotting.colouring (DEBUG)>

Copyright (c) Federal University of Rio de Janeiro (UFRJ), Artur Duque Rossi, and Pedro Henrique Monteiro Torres.

SPDX-License-Identifier: BSD-3-Clause

See the LICENSE file for full terms.

OCDocker.OCScore.Analysis.Plotting.Colouring.set_color_mapping(df, palette_colour='glasbey')[source]

Set the color palette for plotting based on the unique methodologies in the DataFrame.

Parameters:

  • df (pd.DataFrame) – DataFrame containing a ‘Methodology’ column with unique methodologies.

  • palette_colour (str) – Name of the color palette to use. Options include: - “glasbey” - “Set2” - “Set3” - “tab10” - “tab20” - “colorblind” - “pastel” - “bright” - “dark” - “deep” - “muted” - “viridis”

Returns:

color_mapping – Dictionary mapping each methodology to a color in RGB format.

Return type:

dict[str, tuple[float, float, float]]

Raises:

ValueError – If an unsupported palette is provided.