Try something like this —
A = (5+rand(10))/6;
figure
hb = bar(A);
for k = 1:numel(hb)
xep(k,:) = hb(k).XEndPoints;
end
L = min(xep);
R = max(xep);
hold on
plot([L(:) R(:)], [1 1]*0.75, '-k', 'LineWidth',3)
hold off
figure
hb = bar(A);
for k = 1:numel(hb)
xep(k,:) = hb(k).XEndPoints;
end
L = min(xep);
R = max(xep);
hold on
plot([L(:) R(:)], [1 1]*0.75, '-k', 'LineWidth',3)
hold off
xlim([0.5 2.5])
Make appropriate changes to get the result you want.
EDIT — (8 Dec 2023 at 13:43)
To extend the lines to cover all the bars in each group (rather than stopping at the midpoints), use the normalised ‘Barwidth’ data as well to extend it —
A = (5+rand(10))/6;
figure
hb = bar(A);
BW = hb.BarWidth
for k = 1:numel(hb)
xep(k,:) = hb(k).XEndPoints;
end
L = min(xep);
R = max(xep);
hold on
plot([L(:) R(:)]+[-0.5 0.5]*BW/numel(hb), [1 1]*0.75, '-k', 'LineWidth',3)
hold off
figure
hb = bar(A);
BW = hb.BarWidth;
for k = 1:numel(hb)
xep(k,:) = hb(k).XEndPoints;
end
L = min(xep);
R = max(xep);
hold on
plot([L(:) R(:)]+[-0.5 0.5]*BW/numel(hb), [1 1]*0.75, '-k', 'LineWidth',3)
hold off
xlim([0.5 2.5])
.
