how to plot data with small values
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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
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Star Strider
2014-5-14
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:
9 个评论
Star Strider
2014-5-15
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.
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