colour.plotting.plot_cvd_simulation_Machado2009¶
- colour.plotting.plot_cvd_simulation_Machado2009(RGB: ArrayLike, deficiency: Union[Literal['Deuteranomaly', 'Protanomaly', 'Tritanomaly'], str] = 'Protanomaly', severity: Floating = 0.5, M_a: Optional[ArrayLike] = None, **kwargs: Any) Tuple[plt.Figure, plt.Axes] [source]¶
Perform colour vision deficiency simulation on given RGB colourspace array using Machado et al. (2009) model.
- Parameters
RGB (ArrayLike) – RGB colourspace array.
deficiency (Union[Literal[('Deuteranomaly', 'Protanomaly', 'Tritanomaly')], str]) – Colour blindness / vision deficiency type.
severity (Floating) – Severity of the colour vision deficiency in domain [0, 1].
M_a (Optional[ArrayLike]) – Anomalous trichromacy matrix to use instead of 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[plt.Figure, plt.Axes]
Notes
Input RGB array is expected to be linearly encoded.
- Returns
Current figure and axes.
- Return type
- Parameters
RGB (ArrayLike) –
deficiency (Union[Literal[('Deuteranomaly', 'Protanomaly', 'Tritanomaly')], str]) –
severity (Floating) –
M_a (Optional[ArrayLike]) –
kwargs (Any) –
Examples
>>> import numpy as np >>> RGB = np.random.rand(32, 32, 3) >>> plot_cvd_simulation_Machado2009(RGB) (<Figure size ... with 1 Axes>, <...AxesSubplot...>)