# Histogram function plots different colours from those requested

4 views (last 30 days)
z8080 on 28 Mar 2022
Commented: z8080 on 29 Mar 2022
I"m trying to color-code each of 4 histograms using a predefined color scheme. Here's a minimal working example:
colours = [0 32 96;
192 0 0;
71 207 255;
255 143 143;
] / 255;
for i=1:4
x = randn(1,100);
subplot(1,4, i)
values = histogram(x, 'FaceColor', colours (i, :));
end
However, in the image I'm getting, the colors are actually (slightly) different, for instance for the first histogram I get (102,121,160) instead of (0,32,96):

Steven Lord on 28 Mar 2022
The histogram object has a FaceAlpha property, so that if you overlay two histogram objects you can see the one underneath. If you change that FaceAlpha property the color appears slightly different and may be closer to what you want.
x = randn(1, 100);
figure
h = histogram(x, 'FaceColor', 'r');
title("Histograph with FaceAlpha " + h.FaceAlpha)
figure
h = histogram(x, 'FaceColor', 'r', 'FaceAlpha', 1);
title("Histograph with FaceAlpha " + h.FaceAlpha)
z8080 on 29 Mar 2022
Yup, that was it :) Thanks Steven!

Scott MacKenzie on 28 Mar 2022
Edited: Scott MacKenzie on 28 Mar 2022
The histogram function uses a face alpha of 0.6 by default. That's why the colors appear a bit lighter than the values from your eye dropper app. If you set the face alpha to 1.0 (see below), then the displayed colors will agree with the eye dropper values.
colours = [0 32 96;
192 0 0;
71 207 255;
255 143 143;
] / 255;
for i=1:4
x = randn(1,100);
subplot(2,4, i)
values = histogram(x,'FaceColor', colours(i, :));
values.FaceAlpha = 1.0; % NOTE: default is 0.6
values.FaceColor * 255
end
ans = 1×3
0 32 96
ans = 1×3
192 0 0
ans = 1×3
71 207 255
ans = 1×3
255 143 143
z8080 on 29 Mar 2022
Indeed, but thanks again Scott!

R2019b

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