# how to plot data with small values

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Niki on 14 May 2014
Commented: Star Strider on 15 May 2014
I want to plot some result which shows how different is the model A from model B etc. My error is something zero. do you have any idea how I can show that the interpretation would be easy too?
Err 1 Err2 Err3 Err4 Err5
A 0.0142 0 0.0410 0 0
B 0 0 0.0138 0 0
C 0 0 0 0 0
D 0 0 0 0 0
E 0.0142 0 0 0 0
F 0 0 0 0 0
G 0 0 0 0 0
H 0.0135 0 0.0416667 0 0.0138889

Star Strider on 14 May 2014
I have no idea what you are doing, but the bar3 function might be what you want.
For example:
Xt = [{'Err1'} {'Err2'} {'Err3'} {'Err4'} {'Err5'}];
Yt = [{'A'} {'B'} {'C'} {'D'} {'E'} {'F'} {'G'} {'H'}];
M = [ 0.0142 0 0.0410 0 0
0 0 0.0138 0 0
0 0 0 0 0
0 0 0 0 0
0.0142 0 0 0 0
0 0 0 0 0
0 0 0 0 0
0.0135 0 0.0416667 0 0.0138889];
figure(1)
bar3(M)
set(gca, 'XTickLabel', Xt)
set(gca, 'YTickLabel', Yt)
produces:
Star Strider on 15 May 2014
The ribbon plot is about as close as we can get. You can change the width of the ribbons and rotate the plot to get the result you want:
[X,Y] = meshgrid(1:8, 1:36);
figure(1)
ribbon(Y, M, 0.1)
set(gca, 'Xtick', 1:8, 'XtickLabel', Xt, 'FontSize',6)
set (gca, 'YTick', 1:36, 'YtickLabel', Yt, 'FontSize',6)
view([50 50])
The Xt and Yt cell arrays stay the same. The meshgrid call is new, and the 0.1 is the ribbon width. Otherwise the data are the same.