def single_illuminant_relative_spd_plot(
illuminant='A', cmfs='CIE 1931 2 Degree Standard Observer', **kwargs):
"""
Plots given single illuminant relative spectral power distribution.
Parameters
----------
illuminant : unicode, optional
Factory illuminant to plot.
cmfs : unicode, optional
Standard observer colour matching functions to plot.
\**kwargs : dict, optional
Keywords arguments.
Returns
-------
Figure
Current figure or None.
Examples
--------
>>> single_illuminant_relative_spd_plot() # doctest: +SKIP
"""
cmfs = get_cmfs(cmfs)
title = 'Illuminant {0} - {1}'.format(illuminant, cmfs.title)
illuminant = get_illuminant(illuminant)
settings = {'title': title, 'y_label': 'Relative Power'}
settings.update(kwargs)
return single_spd_plot(illuminant, **settings)
def multi_illuminants_relative_spd_plot(illuminants=None, **kwargs):
"""
Plots given illuminants relative spectral power distributions.
Parameters
----------
illuminants : array_like, optional
Factory illuminants to plot.
Other Parameters
----------------
\**kwargs : dict, optional
{:func:`boundaries`, :func:`canvas`, :func:`decorate`,
:func:`display`},
Please refer to the documentation of the previously listed definitions.
use_spds_colours : bool, optional
{:func:`multi_spd_plot`}
Whether to use spectral power distributions colours.
normalise_spds_colours : bool
{:func:`multi_spd_plot`}
Whether to normalise spectral power distributions colours.
Returns
-------
Figure
Current figure or None.
Examples
--------
>>> multi_illuminants_relative_spd_plot(['A', 'B', 'C']) # doctest: +SKIP
"""
if illuminants is None:
illuminants = ('A', 'B', 'C')
spds = []
for illuminant in illuminants:
spds.append(get_illuminant(illuminant))
settings = {
'title':
('{0} - Illuminants Relative Spectral Power Distribution').format(
', '.join([spd.title for spd in spds])),
'y_label':
'Relative Power'
}
settings.update(kwargs)
return multi_spd_plot(spds, **settings)
def single_illuminant_relative_spd_plot(
illuminant='A', cmfs='CIE 1931 2 Degree Standard Observer', **kwargs):
"""
Plots given single illuminant relative spectral power distribution.
Parameters
----------
illuminant : unicode, optional
Factory illuminant to plot.
cmfs : unicode, optional
Standard observer colour matching functions to plot.
Other Parameters
----------------
\**kwargs : dict, optional
{:func:`colour.plotting.render`},
Please refer to the documentation of the previously listed definition.
out_of_gamut_clipping : bool, optional
{:func:`colour.plotting.single_spd_plot`},
Whether to clip out of gamut colours otherwise, the colours will be
offset by the absolute minimal colour leading to a rendering on
gray background, less saturated and smoother.
Returns
-------
Figure
Current figure or None.
References
----------
- :cite:`Spiker2015a`
Examples
--------
>>> single_illuminant_relative_spd_plot() # doctest: +SKIP
"""
cmfs = get_cmfs(cmfs)
title = 'Illuminant {0} - {1}'.format(illuminant, cmfs.strict_name)
illuminant = get_illuminant(illuminant)
settings = {'title': title, 'y_label': 'Relative Power'}
settings.update(kwargs)
return single_spd_plot(illuminant, **settings)
def multi_illuminants_relative_spd_plot(illuminants=None, **kwargs):
"""
Plots given illuminants relative spectral power distributions.
Parameters
----------
illuminants : array_like, optional
Factory illuminants to plot.
\**kwargs : dict, optional
Keywords arguments.
Returns
-------
bool
Definition success.
Examples
--------
>>> multi_illuminants_relative_spd_plot(['A', 'B', 'C']) # doctest: +SKIP
True
"""
if illuminants is None:
illuminants = ('A', 'B', 'C')
spds = []
for illuminant in illuminants:
spds.append(get_illuminant(illuminant))
settings = {
'title':
('{0} - Illuminants Relative Spectral Power Distribution').format(
', '.join([spd.title for spd in spds])),
'y_label':
'Relative Spectral Power Distribution'
}
settings.update(kwargs)
return multi_spd_plot(spds, **settings)
def single_illuminant_relative_spd_plot(
illuminant='A',
cmfs='CIE 1931 2 Degree Standard Observer',
**kwargs):
"""
Plots given single illuminant relative spectral power distribution.
Parameters
----------
illuminant : unicode, optional
Factory illuminant to plot.
cmfs : unicode, optional
Standard observer colour matching functions to plot.
\**kwargs : dict, optional
Keywords arguments.
Returns
-------
bool
Definition success.
Examples
--------
>>> single_illuminant_relative_spd_plot() # doctest: +SKIP
True
"""
cmfs = get_cmfs(cmfs)
title = 'Illuminant {0} - {1}'.format(illuminant, cmfs.title)
illuminant = get_illuminant(illuminant)
settings = {
'title': title,
'y_label': 'Relative Spectral Power Distribution'}
settings.update(kwargs)
return single_spd_plot(illuminant, **settings)
def multi_illuminants_relative_spd_plot(illuminants=None, **kwargs):
"""
Plots given illuminants relative spectral power distributions.
Parameters
----------
illuminants : array_like, optional
Factory illuminants to plot.
\**kwargs : dict, optional
Keywords arguments.
Returns
-------
bool
Definition success.
Examples
--------
>>> multi_illuminants_relative_spd_plot(['A', 'B', 'C']) # doctest: +SKIP
True
"""
if illuminants is None:
illuminants = ('A', 'B', 'C')
spds = []
for illuminant in illuminants:
spds.append(get_illuminant(illuminant))
settings = {
'title': (
'{0} - Illuminants Relative Spectral Power Distribution').format(
', '.join([spd.title for spd in spds])),
'y_label': 'Relative Spectral Power Distribution'}
settings.update(kwargs)
return multi_spd_plot(spds, **settings)