def test_label_rectangles(self):
"""
Tests :func:`colour.plotting.common.label_rectangles` definition.
"""
figure, axes = artist()
samples = np.linspace(0, 1, 10)
_figure, axes = label_rectangles(
samples, axes.bar(samples, 1), figure=figure, axes=axes)
self.assertEqual(len(axes.texts), len(samples))
def plot_colour_quality_bars(
specifications: Sequence[
Union[
ColourRendering_Specification_CQS,
ColourRendering_Specification_CRI,
]
],
labels: Boolean = True,
hatching: Optional[Boolean] = None,
hatching_repeat: Integer = 2,
**kwargs: Any,
) -> Tuple[plt.Figure, plt.Axes]:
"""
Plot the colour quality data of given illuminants or light sources colour
quality specifications.
Parameters
----------
specifications
Array of illuminants or light sources colour quality specifications.
labels
Add labels above bars.
hatching
Use hatching for the bars.
hatching_repeat
Hatching pattern repeat.
Other Parameters
----------------
kwargs
{:func:`colour.plotting.artist`,
:func:`colour.plotting.quality.plot_colour_quality_bars`,
:func:`colour.plotting.render`},
See the documentation of the previously listed definitions.
Returns
-------
:class:`tuple`
Current figure and axes.
Examples
--------
>>> from colour import (SDS_ILLUMINANTS,
... SDS_LIGHT_SOURCES, SpectralShape)
>>> illuminant = SDS_ILLUMINANTS['FL2']
>>> light_source = SDS_LIGHT_SOURCES['Kinoton 75P']
>>> light_source = light_source.copy().align(SpectralShape(360, 830, 1))
>>> cqs_i = colour_quality_scale(illuminant, additional_data=True)
>>> cqs_l = colour_quality_scale(light_source, additional_data=True)
>>> plot_colour_quality_bars([cqs_i, cqs_l]) # doctest: +ELLIPSIS
(<Figure size ... with 1 Axes>, <...AxesSubplot...>)
.. image:: ../_static/Plotting_Plot_Colour_Quality_Bars.png
:align: center
:alt: plot_colour_quality_bars
"""
settings: Dict[str, Any] = {"uniform": True}
settings.update(kwargs)
_figure, axes = artist(**settings)
bar_width = 0.5
y_ticks_interval = 10
count_s, count_Q_as = len(specifications), 0
patterns = cycle(CONSTANTS_COLOUR_STYLE.hatch.patterns)
if hatching is None:
hatching = False if count_s == 1 else True
for i, specification in enumerate(specifications):
Q_a, Q_as, colorimetry_data = (
specification.Q_a,
specification.Q_as,
specification.colorimetry_data,
)
count_Q_as = len(Q_as)
RGB = [[1] * 3] + [
np.clip(XYZ_to_plotting_colourspace(x.XYZ), 0, 1)
for x in colorimetry_data[0]
]
x = (
as_float_array(
i
+ np.arange(
0,
(count_Q_as + 1) * (count_s + 1),
(count_s + 1),
dtype=DEFAULT_FLOAT_DTYPE,
)
)
* bar_width
)
y = as_float_array(
[Q_a]
+ [
s[1].Q_a # type: ignore[attr-defined]
for s in sorted(Q_as.items(), key=lambda s: s[0])
]
)
bars = axes.bar(
x,
np.abs(y),
color=RGB,
width=bar_width,
edgecolor=CONSTANTS_COLOUR_STYLE.colour.dark,
label=specification.name,
zorder=CONSTANTS_COLOUR_STYLE.zorder.background_polygon,
)
hatches = (
[next(patterns) * hatching_repeat] * (count_Q_as + 1)
if hatching
else list(
np.where(y < 0, next(patterns), None) # type: ignore[call-overload]
)
)
for j, bar in enumerate(bars.patches):
bar.set_hatch(hatches[j])
if labels:
label_rectangles(
[f"{y_v:.1f}" for y_v in y],
bars,
rotation="horizontal" if count_s == 1 else "vertical",
offset=(
0 if count_s == 1 else 3 / 100 * count_s + 65 / 1000,
0.025,
),
text_size=-5 / 7 * count_s + 12.5,
axes=axes,
)
axes.axhline(
y=100,
color=CONSTANTS_COLOUR_STYLE.colour.dark,
linestyle="--",
zorder=CONSTANTS_COLOUR_STYLE.zorder.midground_line,
)
axes.set_xticks(
(
np.arange(
0,
(count_Q_as + 1) * (count_s + 1),
(count_s + 1),
dtype=DEFAULT_FLOAT_DTYPE,
)
- bar_width
)
* bar_width
+ (count_s * bar_width / 2)
)
axes.set_xticklabels(
["Qa"] + [f"Q{index + 1}" for index in range(0, count_Q_as, 1)]
)
axes.set_yticks(range(0, 100 + y_ticks_interval, y_ticks_interval))
aspect = 1 / (120 / (bar_width + len(Q_as) + bar_width * 2))
bounding_box = (
-bar_width,
((count_Q_as + 1) * (count_s + 1)) / 2 - bar_width,
0,
120,
)
settings = {
"axes": axes,
"aspect": aspect,
"bounding_box": bounding_box,
"legend": hatching,
"title": "Colour Quality",
}
settings.update(kwargs)
return render(**settings)
def colour_quality_bars_plot(specifications,
labels=True,
hatching=None,
hatching_repeat=1,
**kwargs):
"""
Plots the colour quality data of given illuminants or light sources colour
quality specifications.
Parameters
----------
specifications : array_like
Array of illuminants or light sources colour quality specifications.
labels : bool, optional
Add labels above bars.
hatching : bool or None, optional
Use hatching for the bars.
hatching_repeat : int, optional
Hatching pattern repeat.
Other Parameters
----------------
\**kwargs : dict, optional
{:func:`boundaries`, :func:`canvas`, :func:`decorate`,
:func:`display`},
Please refer to the documentation of the previously listed definitions.
Returns
-------
Figure
Current figure or None.
Examples
--------
>>> from colour import (
... ILLUMINANTS_RELATIVE_SPDS,
... LIGHT_SOURCES_RELATIVE_SPDS,
... SpectralShape)
>>> illuminant = ILLUMINANTS_RELATIVE_SPDS['F2']
>>> light_source = LIGHT_SOURCES_RELATIVE_SPDS['Kinoton 75P']
>>> light_source = light_source.clone().align(SpectralShape(360, 830, 1))
>>> cqs_i = colour_quality_scale(illuminant, additional_data=True)
>>> cqs_l = colour_quality_scale(light_source, additional_data=True)
>>> colour_quality_bars_plot([cqs_i, cqs_l]) # doctest: +SKIP
"""
settings = {'figure_size': (DEFAULT_FIGURE_WIDTH, DEFAULT_FIGURE_WIDTH)}
settings.update(kwargs)
canvas(**settings)
bar_width = 0.5
y_ticks_interval = 10
count_s, count_Q_as = len(specifications), 0
patterns = cycle(DEFAULT_HATCH_PATTERNS)
if hatching is None:
hatching = False if count_s == 1 else True
for i, specification in enumerate(specifications):
Q_a, Q_as, colorimetry_data = (specification.Q_a, specification.Q_as,
specification.colorimetry_data)
count_Q_as = len(Q_as)
colours = (
[[1] * 3] +
[np.clip(XYZ_to_sRGB(x.XYZ), 0, 1) for x in colorimetry_data[0]])
x = (i + np.arange(0, (count_Q_as + 1) * (count_s + 1), (count_s + 1),
dtype=np.float_)) * bar_width
y = [s[1].Q_a for s in sorted(Q_as.items(), key=lambda s: s[0])]
y = np.array([Q_a] + list(y))
if np.sign(np.min(y)) < 0:
warning(
('"{0}" spectral distribution has negative "Q_a" value(s), '
'using absolute value(s) '
'for plotting purpose!'.format(specification.name)))
y = np.abs(y)
bars = pylab.bar(x,
y,
color=colours,
width=bar_width,
hatch=(next(patterns) *
hatching_repeat if hatching else None),
label=specification.name)
if labels:
label_rectangles(
bars,
rotation='horizontal' if count_s == 1 else 'vertical',
offset=(0 if count_s == 1 else 3 / 100 * count_s + 65 / 1000,
0.025),
text_size=-5 / 7 * count_s + 12.5)
pylab.axhline(y=100, color='black', linestyle='--')
pylab.xticks(
(np.arange(0, (count_Q_as + 1) * (count_s + 1), (count_s + 1),
dtype=np.float_) * bar_width + (count_s * bar_width / 2)),
['Qa'] +
['Q{0}'.format(index + 1) for index in range(0, count_Q_as + 1, 1)])
pylab.yticks(range(0, 100 + y_ticks_interval, y_ticks_interval))
settings.update({
'title':
'Colour Quality',
'legend':
hatching,
'x_tighten':
True,
'y_tighten':
True,
'limits': (-bar_width, ((count_Q_as + 1) * (count_s + 1)) / 2, 0, 120),
'aspect':
1 / (120 / (bar_width + len(Q_as) + bar_width * 2))
})
settings.update(kwargs)
boundaries(**settings)
decorate(**settings)
return display(**settings)
def plot_colour_quality_bars(specifications,
labels=True,
hatching=None,
hatching_repeat=2,
**kwargs):
"""
Plots the colour quality data of given illuminants or light sources colour
quality specifications.
Parameters
----------
specifications : array_like
Array of illuminants or light sources colour quality specifications.
labels : bool, optional
Add labels above bars.
hatching : bool or None, optional
Use hatching for the bars.
hatching_repeat : int, optional
Hatching pattern repeat.
Other Parameters
----------------
\\**kwargs : dict, optional
{:func:`colour.plotting.artist`,
:func:`colour.plotting.quality.plot_colour_quality_bars`,
:func:`colour.plotting.render`},
Please refer to the documentation of the previously listed definitions.
Returns
-------
tuple
Current figure and axes.
Examples
--------
>>> from colour import (ILLUMINANTS_SDS,
... LIGHT_SOURCES_SDS, SpectralShape)
>>> illuminant = ILLUMINANTS_SDS['FL2']
>>> light_source = LIGHT_SOURCES_SDS['Kinoton 75P']
>>> light_source = light_source.copy().align(SpectralShape(360, 830, 1))
>>> cqs_i = colour_quality_scale(illuminant, additional_data=True)
>>> cqs_l = colour_quality_scale(light_source, additional_data=True)
>>> plot_colour_quality_bars([cqs_i, cqs_l]) # doctest: +ELLIPSIS
(<Figure size ... with 1 Axes>, \
<matplotlib.axes._subplots.AxesSubplot object at 0x...>)
.. image:: ../_static/Plotting_Plot_Colour_Quality_Bars.png
:align: center
:alt: plot_colour_quality_bars
"""
settings = {'uniform': True}
settings.update(kwargs)
_figure, axes = artist(**settings)
bar_width = 0.5
y_ticks_interval = 10
count_s, count_Q_as = len(specifications), 0
patterns = cycle(COLOUR_STYLE_CONSTANTS.hatch.patterns)
if hatching is None:
hatching = False if count_s == 1 else True
for i, specification in enumerate(specifications):
Q_a, Q_as, colorimetry_data = (specification.Q_a, specification.Q_as,
specification.colorimetry_data)
count_Q_as = len(Q_as)
colours = ([[1] * 3] + [
np.clip(XYZ_to_plotting_colourspace(x.XYZ), 0, 1)
for x in colorimetry_data[0]
])
x = (i + np.arange(0, (count_Q_as + 1) * (count_s + 1), (count_s + 1),
dtype=DEFAULT_FLOAT_DTYPE)) * bar_width
y = [s[1].Q_a for s in sorted(Q_as.items(), key=lambda s: s[0])]
y = np.array([Q_a] + list(y))
bars = axes.bar(x,
np.abs(y),
color=colours,
width=bar_width,
edgecolor=COLOUR_STYLE_CONSTANTS.colour.dark,
label=specification.name)
hatches = ([next(patterns) * hatching_repeat] *
(count_Q_as + 1) if hatching else np.where(
y < 0, next(patterns), None).tolist())
for j, bar in enumerate(bars.patches):
bar.set_hatch(hatches[j])
if labels:
label_rectangles(
['{0:.1f}'.format(y_v) for y_v in y],
bars,
rotation='horizontal' if count_s == 1 else 'vertical',
offset=(0 if count_s == 1 else 3 / 100 * count_s + 65 / 1000,
0.025),
text_size=-5 / 7 * count_s + 12.5,
axes=axes)
axes.axhline(y=100,
color=COLOUR_STYLE_CONSTANTS.colour.dark,
linestyle='--')
axes.set_xticks(
(np.arange(0, (count_Q_as + 1) * (count_s + 1), (count_s + 1),
dtype=DEFAULT_FLOAT_DTYPE) * bar_width +
(count_s * bar_width / 2)), ['Qa'] +
['Q{0}'.format(index + 1) for index in range(0, count_Q_as + 1, 1)])
axes.set_yticks(range(0, 100 + y_ticks_interval, y_ticks_interval))
aspect = 1 / (120 / (bar_width + len(Q_as) + bar_width * 2))
bounding_box = (-bar_width, ((count_Q_as + 1) * (count_s + 1)) / 2, 0, 120)
settings = {
'axes': axes,
'aspect': aspect,
'bounding_box': bounding_box,
'legend': hatching,
'title': 'Colour Quality',
}
settings.update(kwargs)
return render(**settings)
def colour_quality_bars_plot(specifications,
labels=True,
hatching=None,
hatching_repeat=1,
**kwargs):
"""
Plots the colour quality data of given illuminants or light sources colour
quality specifications.
Parameters
----------
specifications : array_like
Array of illuminants or light sources colour quality specifications.
labels : bool, optional
Add labels above bars.
hatching : bool or None, optional
Use hatching for the bars.
hatching_repeat : int, optional
Hatching pattern repeat.
\**kwargs : dict, optional
Keywords arguments.
Returns
-------
bool
Definition success.
Examples
--------
>>> from colour import (
... ILLUMINANTS_RELATIVE_SPDS,
... LIGHT_SOURCES_RELATIVE_SPDS)
>>> illuminant = ILLUMINANTS_RELATIVE_SPDS.get('F2')
>>> light_source = LIGHT_SOURCES_RELATIVE_SPDS.get('Kinoton 75P')
>>> cqs_i = colour_quality_scale(illuminant, additional_data=True)
>>> cqs_l = colour_quality_scale(light_source, additional_data=True)
>>> colour_quality_bars_plot([cqs_i, cqs_l]) # doctest: +SKIP
True
"""
settings = {'figure_size': (DEFAULT_FIGURE_WIDTH, DEFAULT_FIGURE_WIDTH)}
settings.update(kwargs)
canvas(**settings)
bar_width = 0.5
y_ticks_steps = 10
count_s, count_Q_as = len(specifications), 0
patterns = cycle(DEFAULT_HATCH_PATTERNS)
if hatching is None:
hatching = False if count_s == 1 else True
for i, specification in enumerate(specifications):
Q_a, Q_as, colorimetry_data = (specification.Q_a,
specification.Q_as,
specification.colorimetry_data)
count_Q_as = len(Q_as)
colours = ([[1] * 3] + [np.clip(XYZ_to_sRGB(x.XYZ), 0, 1)
for x in colorimetry_data[0]])
x = (i + np.arange(0, (count_Q_as + 1) * (count_s + 1), (count_s + 1),
dtype=np.float)) * bar_width
y = [s[1].Q_a for s in sorted(Q_as.items(), key=lambda s: s[0])]
y = np.array([Q_a] + list(y))
if np.sign(np.min(y)) < 0:
warning(
('"{0}" spectral distribution has negative "Q_a" value(s), '
'using absolute value(s) '
'for plotting purpose!'.format(specification.name)))
y = np.abs(y)
bars = pylab.bar(x,
y,
color=colours,
width=bar_width,
hatch=(next(patterns) * hatching_repeat
if hatching else None),
label=specification.name)
if labels:
label_rectangles(
bars,
rotation='horizontal' if count_s == 1 else 'vertical',
offset=(0 if count_s == 1 else 3 / 100 * count_s + 65 / 1000,
0.025),
text_size=-5 / 7 * count_s + 12.5)
pylab.axhline(y=100, color='black', linestyle='--')
pylab.xticks((np.arange(0, (count_Q_as + 1) * (count_s + 1), (count_s + 1),
dtype=np.float) *
bar_width + (count_s * bar_width / 2)),
['Qa'] + ['Q{0}'.format(index + 1)
for index in range(0, count_Q_as + 1, 1)])
pylab.yticks(range(0, 100 + y_ticks_steps, y_ticks_steps))
settings.update({
'title': 'Colour Quality',
'legend': hatching,
'x_tighten': True,
'y_tighten': True,
'limits': (-bar_width,
((count_Q_as + 1) * (count_s + 1)) / 2,
0,
120),
'aspect': 1 / (120 / (bar_width + len(Q_as) + bar_width * 2))})
settings.update(kwargs)
boundaries(**settings)
decorate(**settings)
return display(**settings)
def plot_colour_quality_bars(specifications,
labels=True,
hatching=None,
hatching_repeat=2,
**kwargs):
"""
Plots the colour quality data of given illuminants or light sources colour
quality specifications.
Parameters
----------
specifications : array_like
Array of illuminants or light sources colour quality specifications.
labels : bool, optional
Add labels above bars.
hatching : bool or None, optional
Use hatching for the bars.
hatching_repeat : int, optional
Hatching pattern repeat.
Other Parameters
----------------
\\**kwargs : dict, optional
{:func:`colour.plotting.artist`,
:func:`colour.plotting.quality.plot_colour_quality_bars`,
:func:`colour.plotting.render`},
Please refer to the documentation of the previously listed definitions.
Returns
-------
tuple
Current figure and axes.
Examples
--------
>>> from colour import (ILLUMINANTS_SDS,
... LIGHT_SOURCES_SDS, SpectralShape)
>>> illuminant = ILLUMINANTS_SDS['FL2']
>>> light_source = LIGHT_SOURCES_SDS['Kinoton 75P']
>>> light_source = light_source.copy().align(SpectralShape(360, 830, 1))
>>> cqs_i = colour_quality_scale(illuminant, additional_data=True)
>>> cqs_l = colour_quality_scale(light_source, additional_data=True)
>>> plot_colour_quality_bars([cqs_i, cqs_l]) # doctest: +SKIP
.. image:: ../_static/Plotting_Plot_Colour_Quality_Bars.png
:align: center
:alt: plot_colour_quality_bars
"""
settings = {'uniform': True}
settings.update(kwargs)
_figure, axes = artist(**settings)
bar_width = 0.5
y_ticks_interval = 10
count_s, count_Q_as = len(specifications), 0
patterns = cycle(COLOUR_STYLE_CONSTANTS.hatch.patterns)
if hatching is None:
hatching = False if count_s == 1 else True
for i, specification in enumerate(specifications):
Q_a, Q_as, colorimetry_data = (specification.Q_a, specification.Q_as,
specification.colorimetry_data)
count_Q_as = len(Q_as)
colours = ([[1] * 3] + [
np.clip(XYZ_to_plotting_colourspace(x.XYZ), 0, 1)
for x in colorimetry_data[0]
])
x = (i + np.arange(
0, (count_Q_as + 1) * (count_s + 1), (count_s + 1),
dtype=DEFAULT_FLOAT_DTYPE)) * bar_width
y = [s[1].Q_a for s in sorted(Q_as.items(), key=lambda s: s[0])]
y = np.array([Q_a] + list(y))
bars = plt.bar(
x,
np.abs(y),
color=colours,
width=bar_width,
edgecolor=COLOUR_STYLE_CONSTANTS.colour.dark,
label=specification.name)
hatches = ([next(patterns) * hatching_repeat] * (count_Q_as + 1)
if hatching else np.where(y < 0, next(patterns),
None).tolist())
for j, bar in enumerate(bars.patches):
bar.set_hatch(hatches[j])
if labels:
label_rectangles(
y,
bars,
rotation='horizontal' if count_s == 1 else 'vertical',
offset=(0 if count_s == 1 else 3 / 100 * count_s + 65 / 1000,
0.025),
text_size=-5 / 7 * count_s + 12.5)
axes.axhline(
y=100, color=COLOUR_STYLE_CONSTANTS.colour.dark, linestyle='--')
axes.set_xticks((np.arange(
0, (count_Q_as + 1) * (count_s + 1), (count_s + 1),
dtype=DEFAULT_FLOAT_DTYPE) * bar_width + (count_s * bar_width / 2)),
['Qa'] + [
'Q{0}'.format(index + 1)
for index in range(0, count_Q_as + 1, 1)
])
axes.set_yticks(range(0, 100 + y_ticks_interval, y_ticks_interval))
aspect = 1 / (120 / (bar_width + len(Q_as) + bar_width * 2))
bounding_box = (-bar_width, ((count_Q_as + 1) * (count_s + 1)) / 2, 0, 120)
settings = {
'axes': axes,
'aspect': aspect,
'bounding_box': bounding_box,
'legend': hatching,
'title': 'Colour Quality',
}
settings.update(kwargs)
return render(**settings)
