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It would be useful to be able to convert between two different RGB color spaces, but it looks like this isn't currently possible since the colormodels.init() function uses globals so only one space is defined at any time. In particular, I would like to convert between sRGB (the default) and a custom RGB space for a specific RGB LED.

Some functions already work with numpy args (e.g., xyz_from_rgb) but others use functions or constructs that are not numpy aware (e.g., rgb_from_irgb uses float() and lab_from_xyz uses scalar '>'). This issue is a feature request to make all functions numpy compatible so that arrays can be converted with a single call instead of requiring (much slower) loops.

ColorPy at present is only Python2.x, it would be better if Python3 was also supported.

Some culprits are old-style print statements, and some exception raising syntax.

Hi,
When I import colorpy.colormodels on my python 3.9.7 kernel, I get the following error:

ModuleNotFoundError Traceback (most recent call last)
/script/run.ipynb Cell 3 in <cell line: 1>()
----> 1 import colorpy.colormodels
ModuleNotFoundError: No module named 'colorpy'

The index used in ciexyz.xyz_from_wavelength() is intended to be an integer, but is actually a floating point type with an integral value. It should be explicitly converted to an integer to avoid a deprecation warning.