如何控制子图周围的边距大小？

发布于 2024-10-07 04:54:29 字数 287 浏览 2 评论 0原文

我正在使用 subplot 命令绘制 5 x 3 的图，但每个子图周围都有大量的边距。

如何控制它们周围的边距大小？

figure;
for c=1:15
    subplot(5,3,c); 
    imagesc(reshape(image(:,c), 360,480)); 
    colormap gray; 
    axis image;
end

替代文字

原文

I'm plotting 5 x 3 plots using subplot command, but there are massive margins around each subplot.

How do I control the margin size around them?

figure;
for c=1:15
    subplot(5,3,c); 
    imagesc(reshape(image(:,c), 360,480)); 
    colormap gray; 
    axis image;
end

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何以畏孤独 2024-10-14 04:54:29

问题是 Matlab 分配每个轴的 position 属性，以便每个图周围都有空间。您可以调整 position 属性，也可以获取 subaxis从文件交换中并按照您喜欢的方式设置子图。

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蓝天 2024-10-14 04:54:29

看一下坐标区的 LooseInset 和 OuterPosition 属性：
http://undocumentedmatlab.com/blog/axes-looseinset-property/

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温柔女人霸气范 2024-10-14 04:54:29

从 MATLAB R2019b 开始，您可以使用 tiledlayout 函数来控制次要情节。

下面的示例展示了如何获取没有平铺间距的子图：

figure
example_image = imread('cameraman.tif');
t = tiledlayout(5,3);
nexttile

for c= 1:15
    imagesc(example_image(:,c))
    if c < 15
        nexttile
    end
end

t.TileSpacing = 'None';

Since MATLAB R2019b you can use tiledlayout function to control the spacing of the subplots.

Here's an example which shows how to obtain subplots without tile spacing:

figure
example_image = imread('cameraman.tif');
t = tiledlayout(5,3);
nexttile

for c= 1:15
    imagesc(example_image(:,c))
    if c < 15
        nexttile
    end
end

t.TileSpacing = 'None';

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烈酒灼喉 2024-10-14 04:54:29

除了其他答案之外，您还可以尝试 Chad Greene 的 smplot< /a> 来自文件交换。这将产生一个 '小倍数' 图并自动处理 Matlab < 的一些麻烦代码>位置属性。

下面的示例显示了默认的 subplot 行为，分别是轴关闭的 smplot 和轴打开的 smplot：

image = randn(360*480,15);

% default subplot
figure;
for c=1:15
    subplot(5,3,c); 
    imagesc(reshape(image(:,c), 360,480)); 
    colormap gray; 
    axis image;
end

% smplot axis off
figure;
for c=1:15
    smplot(5,3,c);
    imagesc(reshape(image(:,c), 360,480)); 
    colormap gray; 
    axis off;
end

% smplot axis on
figure;
for c=1:15
    smplot(5,3,c,'axis','on');
    imagesc(reshape(image(:,c), 360,480)); 
    colormap gray; 
    axis tight;
end

In addition to the other answers, you could try Chad Greene's smplot from the FileExchange. This will produce a 'small multiple' plot and automatically deal with some of the hassle of Matlab's position property.

Example below showing default subplot behaviour, smplot with axis off and smplot with axis on, respectively:

image = randn(360*480,15);

% default subplot
figure;
for c=1:15
    subplot(5,3,c); 
    imagesc(reshape(image(:,c), 360,480)); 
    colormap gray; 
    axis image;
end

% smplot axis off
figure;
for c=1:15
    smplot(5,3,c);
    imagesc(reshape(image(:,c), 360,480)); 
    colormap gray; 
    axis off;
end

% smplot axis on
figure;
for c=1:15
    smplot(5,3,c,'axis','on');
    imagesc(reshape(image(:,c), 360,480)); 
    colormap gray; 
    axis tight;
end

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云醉月微眠 2024-10-14 04:54:29

为了最小化每个子图周围的空白，请运行： [1]

for c=1:15
  h_ax = subplot(5,3,c);
  % [...]

  outerpos = get(h_ax,'OuterPosition');
  ti = get(h_ax,'TightInset');
  left = outerpos(1) + ti(1);
  bottom = outerpos(2) + ti(2);
  ax_width = outerpos(3) - ti(1) - ti(3);
  ax_height = outerpos(4) - ti(2) - ti(4);
  set(h_ax,'Position',[left bottom ax_width ax_height]);
end

此实现自动执行乔纳斯答案中概述的原则。

[1] https ://www.mathworks.com/help/releases/R2015b/matlab/creating_plots/save-figure-with-minimal-white-space.html

To minimize the white space surrounding each subplot, run: [1]

for c=1:15
  h_ax = subplot(5,3,c);
  % [...]

  outerpos = get(h_ax,'OuterPosition');
  ti = get(h_ax,'TightInset');
  left = outerpos(1) + ti(1);
  bottom = outerpos(2) + ti(2);
  ax_width = outerpos(3) - ti(1) - ti(3);
  ax_height = outerpos(4) - ti(2) - ti(4);
  set(h_ax,'Position',[left bottom ax_width ax_height]);
end

This implementation automates the principle outlined in Jonas's answer.

[1] https://www.mathworks.com/help/releases/R2015b/matlab/creating_plots/save-figure-with-minimal-white-space.html

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