colour.plotting.plot_cvd_simulation_Machado2009

colour.plotting.plot_cvd_simulation_Machado2009(RGB, deficiency='Protanomaly', severity=0.5, M_a=None, **kwargs)[source]

Performs colour vision deficiency simulation on given RGB colourspace array using Machado et al. (2009) model.

Parameters

  • RGB (array_like) – RGB colourspace array.

  • deficiency (unicode, optional) – {‘Protanomaly’, ‘Deuteranomaly’, ‘Tritanomaly’} Colour blindness / vision deficiency type.

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

  • M_a (array_like, optional) – Anomalous trichromacy matrix to use instead of Machado (2010) pre-computed matrix.

Other Parameters

**kwargs (dict, optional) – {colour.plotting.artist(), colour.plotting.plot_image(), colour.plotting.render()}, Please refer to the documentation of the previously listed definitions.

Notes

  • Input RGB array is expected to be linearly encoded.

Returns

Current figure and axes.

Return type

tuple

Examples

>>> import numpy as np
>>> RGB = np.random.rand(32, 32, 3)
>>> plot_cvd_simulation_Machado2009(RGB)  
(<Figure size ... with 1 Axes>, <matplotlib.axes._subplots.AxesSubplot object at 0x...>)
plot_cvd_simulation_Machado2009