create many bar plots with loop process

Question

Giannis Nikolopoulos 2021-5-12

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此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/828015-create-many-bar-plots-with-loop-process

编辑： Adam Danz 2021-5-13

Hello!!

I need your help for an issue I had...

I have two matrixes

A --> 20x50 double

B -->20x50 double

and I want to create bar plots for the first rows of A and B, the secont bar plot will be the second rows of A and B etc... So I have to create 20 "grouped" bar plots from the respective rows of A and B

the x axis should be a cell array 1x50: 1, 2, 3, .... ,50+

I managed to create each bar plot without loop process but I was wondering how would be the code if I used a for loop to do all the bar plots ones and save them as a tif?

Thank you in advance

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Answer 1

Scott MacKenzie 2021-5-12

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https://ww2.mathworks.cn/matlabcentral/answers/828015-create-many-bar-plots-with-loop-process#answer_697960

编辑：Scott MacKenzie 2021-5-12

在 MATLAB Online 中打开

A = rand(20,50);
B = rand(20,50);
x = 1:50;
for i=1:size(A,1)    
    bar(x,[A(i,:); B(i,:)]);
    filename = sprintf('plot_%02d.tif', i);
    print(filename, '-dtiff');
end

You can't use a cell array for the x-axis. You can for the x-axis tick labels. Perhaps that's what you meant.

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Giannis Nikolopoulos 2021-5-13

i used the Matlab 2019a

Scott MacKenzie 2021-5-13

编辑：Scott MacKenzie 2021-5-13

在 MATLAB Online 中打开

Hmmm, that's odd. Seems the constraints on bar have changed since R2019a. The equivalent error message now is "the length of X must match the number of rows or columns of Y".

Try changing

x = 1:50;

to

x = 1:20;

Another thing to try is removing the x-argument from the bar function:

bar([A(i,:); B(i,:)]);

In this form, the x-argument is implicit. Good luck.

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Answer 2

Adam Danz 2021-5-13

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https://ww2.mathworks.cn/matlabcentral/answers/828015-create-many-bar-plots-with-loop-process#answer_699123

编辑：Adam Danz 2021-5-13

在 MATLAB Online 中打开

If you want all 20 axes on the same figure, the bars will be quite tightly packed. Consider breaking up groups of axes into separate figures.

This uses TiledLayout to create the axes with compact spacing.
The edge lines of the bar are removed so you can see more of the bar colors.
The axes are all linked so their axis limits are all the same - this can be removed if you don't want to have identical axis limits for all axes.

% Create demo data
A = rand(20,50) .* linspace(1,10,50) + linspace(0,2,20)'; 
B = rand(20,50) .* linspace(1,12,50) + linspace(0,3,20)'; 
fig = figure(); 
tlo = tiledlayout(fig, 'flow','Padding','compact','TileSpacing','compact'); 
nPlots = size(A,1); 
ax = gobjects(1,nPlots); 
for i = 1:nPlots
   ax(i) = nexttile(tlo);
   bh = bar([A(i,:)', B(i,:)'],'Grouped','EdgeColor','none');
   bh(1).FaceColor = 'r'; 
   bh(2).FaceColor = 'b'; 
   title(ax(i), sprintf('Row %d',i))
end
linkaxes(ax)
leg = legend(ax(end),{'A','B'},'Orientation','Horizontal');
leg.Layout.Tile = 'south';

Right-click and open the image in a new window to see full size.

Option 2: use connected scatter plot

This version uses vertical lines to connect the heights of each bar rather than showing the groupped bars. It therefore has more space between groups since the groups are vertically stacked. This demo uses a different random dataset than above.

A = rand(20,50) .* linspace(1,10,50) + linspace(0,2,20)'; 
B = rand(20,50) .* linspace(1,12,50) + linspace(0,3,20)'; 
fig = figure(); 
tlo = tiledlayout(fig, 'flow','Padding','compact','TileSpacing','compact'); 
nPlots = size(A,1); 
ax = gobjects(1,nPlots); 
x = 1:size(A,2); 
for i = 1:nPlots
   ax(i) = nexttile(tlo);
   hold (ax(i), 'on')
   plot([x;x],[A(i,:); B(i,:)], 'k-s','MarkerFaceColor','w','MarkerSize',4)
   sh = scatter(x,[A(i,:); B(i,:)],16,[1 0 0; 0 0 1],'filled','MarkerFaceAlpha', .5,'MarkerEdgeColor', 'none','Marker', 's');   title(ax(i), sprintf('Row %d',i))
   box(ax(i),'on')
   axis(ax(i),'tight')
   grid(ax(i),'on')
end
linkaxes(ax)
leg = legend(ax(end),sh,{'A','B'},'Orientation','Horizontal');
leg.Layout.Tile = 'south';