colour.plotting.plot_cvd_simulation_Machado2009

colour.plotting.plot_cvd_simulation_Machado2009(RGB: ArrayLike, deficiency: Literal['Deuteranomaly', 'Protanomaly', 'Tritanomaly'] | str = 'Protanomaly', severity: float = 0.5, M_a: ArrayLike | None = None, **kwargs: Any) → Tuple[Figure, Axes]

Perform colour vision deficiency simulation on the specified RGB colourspace array using the Machado et al. (2009) model.

Parameters:

• RGB (ArrayLike) – RGB colourspace array.

• deficiency (Literal['Deuteranomaly', 'Protanomaly', 'Tritanomaly'] | str) – Colour blindness / vision deficiency type.

• severity (float) – Severity of the colour vision deficiency in domain [0, 1].

• M_a (ArrayLike | None) – Anomalous trichromacy matrix to use instead of the Machado (2010) pre-computed matrix.

• kwargs (Any) – {colour.plotting.artist(), colour.plotting.plot_image(), colour.plotting.render()}, See the documentation of the previously listed definitions.

Return type:

Tuple[Figure, Axes]

Notes

• Input RGB array is expected to be linearly encoded.

Returns:

Current figure and axes.

Return type:

tuple

Parameters:

• RGB (ArrayLike)

• deficiency (Literal['Deuteranomaly', 'Protanomaly', 'Tritanomaly'] | str)

• severity (float)

• M_a (ArrayLike | None)

• kwargs (Any)

Examples

>>> import numpy as np
>>> RGB = np.random.rand(32, 32, 3)
>>> plot_cvd_simulation_Machado2009(RGB)
(<Figure size ... with 1 Axes>, <...Axes...>)