phasorpy.color#

Color palettes and color manipulation utilities.

phasorpy.color.float2int(rgb, /, dtype=<class 'numpy.uint8'>)[source]#

Return normalized color components as integers.

Parameters:

rgb (array_like) – Scalar or array of normalized floating-point color components.
dtype (dtype_like, optional) – Data type of return value. The default is uint8.

Returns:

Color components as integers scaled to dtype’s range.

Return type:

ndarray

Examples

>>> float2int([0.0, 0.5, 1.0])
array([  0, 128, 255], dtype=uint8)

phasorpy.color.wavelength2rgb(wavelength, /, dtype=None)[source]#

Return approximate sRGB color components of visible wavelength(s).

Wavelengths are clipped to the range [360, 750] nm, rounded, and used to index the SRGB_SPECTRUM palette.

Parameters:

wavelength (array_like) – Scalar or array of wavelengths in nm.
dtype (dtype_like, optional) – Data-type of return value. The default is float32.

Returns:

Approximate sRGB color components of visible wavelength(s). If input is scalar, return tuple of three floats. If input is array, return ndarray with shape (…, 3). Floating-point values are in range [0.0, 1.0]. Integer values are scaled to the dtype’s maximum value.

Return type:

ndarray or tuple of float

Examples

>>> wavelength2rgb(517.2, 'uint8')
(0, 191, 0)
>>> wavelength2rgb([517, 566], 'uint8')
array([[  0, 191,   0],
       [133, 190,   0]], dtype=uint8)

phasorpy.color.CATEGORICAL#

Categorical sRGB color palette inspired by C. Glasbey.

Contains 64 maximally distinct colors for visualization.

Generated using the glasbey package:

import glasbey; numpy.array(glasbey.create_palette(64, as_hex=False))

phasorpy.color.SRGB_SPECTRUM#

sRGB color components for wavelengths of visible light (360-750 nm).

Array of shape (391, 3) containing normalized sRGB color components for wavelengths from 360 to 750 nm in 1 nm increments. Based on the CIE 1931 2° Standard Observer.

Generated using the colour package:

import colour; colour.plotting.plot_visible_spectrum()