def multi_lightness_function_plot(functions=None, **kwargs):
"""
Plots given *Lightness* functions.
Parameters
----------
functions : array_like, optional
*Lightness* functions to plot.
\**kwargs : dict, optional
Keywords arguments.
Returns
-------
Figure
Current figure or None.
Raises
------
KeyError
If one of the given *Lightness* function is not found in the factory
*Lightness* functions.
Examples
--------
>>> fs = ('CIE 1976', 'Wyszecki 1963')
>>> multi_lightness_function_plot(fs) # doctest: +SKIP
"""
settings = {'figure_size': (DEFAULT_FIGURE_WIDTH, DEFAULT_FIGURE_WIDTH)}
settings.update(kwargs)
canvas(**settings)
if functions is None:
functions = ('CIE 1976', 'Wyszecki 1963')
samples = np.linspace(0, 100, 1000)
for function in functions:
function, name = LIGHTNESS_METHODS.get(function), function
if function is None:
raise KeyError(('"{0}" "Lightness" function not found in factory '
'"Lightness" functions: "{1}".').format(
name, sorted(LIGHTNESS_METHODS.keys())))
pylab.plot(samples, [function(x) for x in samples],
label='{0}'.format(name),
linewidth=2)
settings.update({
'title':
'{0} - Lightness Functions'.format(', '.join(functions)),
'x_label':
'Relative Luminance Y',
'y_label':
'Lightness',
'x_tighten':
True,
'legend':
True,
'legend_location':
'upper left',
'grid':
True,
'limits': (0, 100, 0, 100),
'aspect':
'equal'
})
settings.update(kwargs)
boundaries(**settings)
decorate(**settings)
return display(**settings)
def multi_lightness_function_plot(functions=None, **kwargs):
"""
Plots given *Lightness* functions.
Parameters
----------
functions : array_like, optional
*Lightness* functions to plot.
Other Parameters
----------------
\**kwargs : dict, optional
{:func:`colour.plotting.render`},
Please refer to the documentation of the previously listed definition.
Returns
-------
Figure
Current figure or None.
Raises
------
KeyError
If one of the given *Lightness* function is not found in the factory
*Lightness* functions.
Examples
--------
>>> fs = ('CIE 1976', 'Wyszecki 1963')
>>> multi_lightness_function_plot(fs) # doctest: +SKIP
"""
settings = {'figure_size': (DEFAULT_FIGURE_WIDTH, DEFAULT_FIGURE_WIDTH)}
settings.update(kwargs)
canvas(**settings)
if functions is None:
functions = ('CIE 1976', 'Wyszecki 1963')
samples = np.linspace(0, 100, 1000)
for function in functions:
function, name = LIGHTNESS_METHODS.get(function), function
if function is None:
raise KeyError(('"{0}" "Lightness" function not found in factory '
'"Lightness" functions: "{1}".').format(
name, sorted(LIGHTNESS_METHODS.keys())))
# TODO: Handle condition statement with metadata capabilities.
pylab.plot(samples, (function(samples / 100) if name.lower() in (
'fairchild 2010', 'fairchild 2011') else function(samples)),
label='{0}'.format(name),
linewidth=1)
settings.update({
'title':
'{0} - Lightness Functions'.format(', '.join(functions)),
'x_label':
'Relative Luminance Y',
'y_label':
'Lightness',
'x_tighten':
True,
'legend':
True,
'legend_location':
'upper left',
'grid':
True,
'limits': (0, 100, 0, 100),
'aspect':
'equal'
})
settings.update(kwargs)
return render(**settings)
def multi_lightness_function_plot(functions=None, **kwargs):
"""
Plots given *Lightness* functions.
Parameters
----------
functions : array_like, optional
*Lightness* functions to plot.
\**kwargs : dict, optional
Keywords arguments.
Returns
-------
bool
Definition success.
Raises
------
KeyError
If one of the given *Lightness* function is not found in the factory
*Lightness* functions.
Examples
--------
>>> fs = ('CIE 1976', 'Wyszecki 1963')
>>> multi_lightness_function_plot(fs) # doctest: +SKIP
True
"""
settings = {
'figure_size': (DEFAULT_FIGURE_WIDTH, DEFAULT_FIGURE_WIDTH)}
settings.update(kwargs)
canvas(**settings)
if functions is None:
functions = ('CIE 1976', 'Wyszecki 1963')
samples = np.linspace(0, 100, 1000)
for function in functions:
function, name = LIGHTNESS_METHODS.get(function), function
if function is None:
raise KeyError(
('"{0}" "Lightness" function not found in factory '
'"Lightness" functions: "{1}".').format(
name, sorted(LIGHTNESS_METHODS.keys())))
pylab.plot(samples,
[function(x) for x in samples],
label='{0}'.format(name),
linewidth=2)
settings.update({
'title': '{0} - Lightness Functions'.format(', '.join(functions)),
'x_label': 'Luminance Y',
'y_label': 'Lightness L*',
'x_tighten': True,
'legend': True,
'legend_location': 'upper left',
'grid': True,
'limits': (0, 100, 0, 100),
'aspect': 'equal'})
settings.update(kwargs)
boundaries(**settings)
decorate(**settings)
return display(**settings)
def multi_lightness_function_plot(functions=None, **kwargs):
"""
Plots given *Lightness* functions.
Parameters
----------
functions : array_like, optional
*Lightness* functions to plot.
\*\*kwargs : \*\*
Keywords arguments.
Returns
-------
bool
Definition success.
Raises
------
KeyError
If one of the given *Lightness* function is not found in the factory
*Lightness* functions.
Examples
--------
>>> fs = ('CIE 1976', 'Wyszecki 1964')
>>> multi_lightness_function_plot(fs) # doctest: +SKIP
True
"""
if functions is None:
functions = ('CIE 1976', 'Wyszecki 1964')
samples = np.linspace(0, 100, 1000)
for i, function in enumerate(functions):
function, name = LIGHTNESS_METHODS.get(function), function
if function is None:
raise KeyError(('"{0}" "Lightness" function not found in factory '
'"Lightness" functions: "{1}".').format(
name, sorted(LIGHTNESS_METHODS.keys())))
pylab.plot(samples, [function(x) for x in samples],
label=u'{0}'.format(name),
linewidth=2)
settings = {
'title': '{0} - Lightness Functions'.format(', '.join(functions)),
'x_label': 'Luminance Y',
'y_label': 'Lightness L*',
'x_tighten': True,
'legend': True,
'legend_location': 'upper left',
'x_ticker': True,
'y_ticker': True,
'grid': True,
'limits': [0, 100, 0, 100]
}
settings.update(kwargs)
bounding_box(**settings)
aspect(**settings)
return display(**settings)