#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Visible Spectrum Volume Computations
====================================
Defines objects related to visible spectrum volume computations.
See Also
--------
`Spectrum IPython Notebook
<http://nbviewer.ipython.org/github/colour-science/colour-ipython/blob/master/notebooks/colorimetry/spectrum.ipynb>`_ # noqa
"""
from __future__ import division, unicode_literals
from colour.colorimetry import STANDARD_OBSERVERS_CMFS
from colour.volume import is_within_mesh_volume
__author__ = 'Colour Developers'
__copyright__ = 'Copyright (C) 2013 - 2015 - Colour Developers'
__license__ = 'New BSD License - http://opensource.org/licenses/BSD-3-Clause'
__maintainer__ = 'Colour Developers'
__email__ = 'colour-science@googlegroups.com'
__status__ = 'Production'
__all__ = ['is_within_visible_spectrum']
[docs]def is_within_visible_spectrum(XYZ,
cmfs=STANDARD_OBSERVERS_CMFS.get(
'CIE 1931 2 Degree Standard Observer'),
tolerance=None):
"""
Returns if given *CIE XYZ* tristimulus values are within visible spectrum
volume / given colour matching functions volume.
Parameters
----------
XYZ : array_like
*CIE XYZ* tristimulus values.
cmfs : XYZ_ColourMatchingFunctions
Standard observer colour matching functions.
tolerance : numeric, optional
Tolerance allowed in the inside-triangle check.
Returns
-------
bool
Is within visible spectrum.
Notes
-----
- Input *CIE XYZ* tristimulus values are in domain [0, 1].
- This definition requires *scipy* to be installed.
Examples
--------
>>> import numpy as np
>>> is_within_visible_spectrum(np.array([0.3205, 0.4131, 0.51]))
array(True, dtype=bool)
>>> a = np.array([[0.3205, 0.4131, 0.51],
... [-0.0005, 0.0031, 0.001]])
>>> is_within_visible_spectrum(a)
array([ True, False], dtype=bool)
"""
return is_within_mesh_volume(XYZ, cmfs.values, tolerance)
Colour 0.3