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import numpy as np, PIL, os
from matplotlib import pyplot as plt, rcParams
from crl.color import *
def assets(path):
return os.path.join(os.path.dirname(__file__), "assets", path)
plot_data = {
xyY: {
"diagram_path": assets("diagram_xy.png"),
"diagram_bounds": [0, 0.75, 0, 0.85],
"xlabel": "$x$",
"ylabel": "$y$"
},
uvY: {
"diagram_path": assets("diagram_uv.png"),
"diagram_bounds": [0, 0.7, 0, 0.4],
"xlabel": "$u$",
"ylabel": "$v$"
},
uvY76: {
"diagram_path": assets("diagram_uv76.png"),
"diagram_bounds": [0, 0.65, 0, 0.63],
"xlabel": "$u'$",
"ylabel": "$v'$"
},
UVstarNormedD65: {
"diagram_path": assets("diagram_UVWstar.png"),
"diagram_bounds": [-2.6, 5.6, -4, 1.1],
"xlabel": "$\\frac{U^*}{W^*}$",
"ylabel": "$\\frac{V^*}{W^*}$"
},
LabstarD65: {
"diagram_path": assets("diagram_Labstar.png"),
"diagram_bounds": [-50, 50, -50, 50],
"xlabel": "$a^*$",
"ylabel": "$b^*$"
}
}
def draw_isotherm(ax, CS, x, y, T, plot_space_scale, labels, label_scale):
u0, v0, _ = uvY(BlackBodySpectrum(T))
ut, vt, _ = uvY(BlackBodySpectrum(T + 100)) # t stands for 'tangent'
duv = np.array([ut - u0, vt - v0])
du, dv = np.matmul([[0, -1], [1, 0]], duv) # rotate 90 degrees
annotate = False
X, Y = [], []
for sign in [-1, 1]:
xp, yp, _ = CS.from_XYZ(uvY(
u0 + sign * du,
v0 + sign * dv, 1).to_XYZ())
dxy = np.array([xp - x, yp - y])
if T % 1000 == 500:
size = 0.006
elif T <= 5000 or T == 10000:
size = 0.02
annotate = True
else:
size = 0.012
dxy *= plot_space_scale * size / np.linalg.norm(dxy)
X.append(x + dxy[0])
Y.append(y + dxy[1])
ax.plot(X, Y, "k-", linewidth=1)
if labels and annotate:
save = rcParams['font.size']
rcParams['font.size'] *= label_scale
ax.annotate("%d" % T, xy=(X[1], Y[1]),
horizontalalignment="left",
verticalalignment="top")
rcParams['font.size'] = save
def chromaticity_diagram(CS, label_scale=1/1.5, ax=plt,
pures=True, pures_labels=True,
locus=True, isotherms=False,
isotherm_labels = False, isotherm_label_scale=1/1.7):
if CS not in plot_data:
raise ValueError("color triangle plots for %s are not supported" % CS.full_name)
if CS == LabstarD65:
# These won't work in L*a*b*
pures = False
locus = False
if not hasattr(CS, "diagram_image"):
img = PIL.Image.open(plot_data[CS]["diagram_path"])
img.load()
CS.diagram_image = np.asarray(img, dtype="float") / 255
ax.imshow(CS.diagram_image, extent=plot_data[CS]["diagram_bounds"], \
interpolation="bilinear")
save = rcParams['font.size']
rcParams['font.size'] *= label_scale
plot_space_scale = 10 if CS == UVstarNormed else 1
if pures:
wvls = np.linspace(380, 780, 300)
outline = np.array([[*CS(PointSpectrum(wvl))] for wvl in wvls])
ax.plot(outline[:, 0], outline[:, 1], 'k')
def tick(wvl, l, label=False):
x, y, _ = CS(PointSpectrum(wvl))
xe, ye, _ = CS(PointSpectrum(wvl + 5))
l *= plot_space_scale
dx = np.array([xe - x, ye - y])
dx *= l / np.linalg.norm(dx)
dx = np.matmul([[0, -1], [1, 0]], dx)
ax.plot((x, x + dx[0]), (y, y + dx[1]), 'k-')
if pures_labels and label:
ax.annotate("%d" % wvl, (x, y),
xytext=np.array([x, y]) + dx * 2,
horizontalalignment="center",
verticalalignment="center")
L = [380, 460, 470, 480, 490, 500, 520, 540, 560, 580, 600, 620]
for wvl in range(400, 680, 5):
if wvl not in L:
if wvl % 10 == 0:
tick(wvl, 0.012)
else:
tick(wvl, 0.007)
for wvl in L:
tick(wvl, 0.02, True)
if locus:
x = np.zeros(50)
y = np.zeros(np.size(x))
for i in range(np.size(x)):
T = 1000 * 20 ** (i / (np.size(x) - 1))
x[i], y[i], _ = CS(BlackBodySpectrum(T))
ax.plot(x, y, "k-", linewidth=1)
if type(isotherms) == list:
Ts = isotherms
else:
Ts = range(2000, 10001, 500)
for T in Ts:
x, y, _ = CS(BlackBodySpectrum(T))
if isotherms:
draw_isotherm(ax, CS, x, y, T, plot_space_scale,
isotherm_labels, isotherm_label_scale)
else:
ax.plot(x, y, "ko", markersize=2)
rcParams['font.size'] = save
ax.xlabel(plot_data[CS]["xlabel"])
ax.ylabel(plot_data[CS]["ylabel"])
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