Is there an easy way to plot the colour difference between actual and target value in a chomaticity diagram?

[richardstardust]

Hi,
In Imatest it is easy to generate a colour difference plot for a colour calibration which is convenient.
The chromaticity diagram seems suitable but I am not sure how if there is built in functionality for this type of task in coulour-science or if it has to be done more manually?
Either way it would be great if somebody could explain how this is done in a good way or even share some example code.
Best regards,
Richard

[tjdcs]

There's no one-liner to produce this type of plot but I've recently been working on something like this:

Which can roughly be described with this code (Sorry these variables are out of my current working space, but you can probably fill in something more appropriate)

from colour.plotting import (
    plot_ellipses_MacAdam1942_in_chromaticity_diagram_CIE1976UCS,
)
from sklearn.cluster import KMeans

fig, ax = plot_ellipses_MacAdam1942_in_chromaticity_diagram_CIE1976UCS(
    standalone=False, diagram_opacity=0.4, title="CIE u'v' (1976) Average Error"
)

for meas_color in measured_color_uvp:
    plt.arrow(
        target_color_uvp[idx, 0],
        target_color_uvp[idx, 1],
        (meas_color - target_color)[0],
        (meas_color - target_color)[1],
        facecolor=[1, 0.25, 0.15],
        edgecolor=[0, 0, 0],
        width=0.003,
        linewidth=0.5,
    )

plt.ylim(-0.02, 0.64)
plt.xlim(-0.02, 0.65)
ax.set_aspect(1)

[richardstardust]

@tjdcs - Thank you for sharing an example and pointing me in the right direction!
Best Regards, Richard