MATLAB多图合一代码模板

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做算法，写论文使用MATLAB是理工科学生必须掌握的技术。在写论文的过程中，如果出版方，例如IEEE，会让你用LaTeX的trans模板写论文，制图画表格，这是再好不过了，但是有的会议或者出版方会让你用Word排版，做图制表就稍微有些麻烦，下面给出了采用MATLAB多图合一的代码模板。

生成的结果是2*3的图像。注意首先要把单个的.fig文件保存下来，title，.fig路径需要自己重新手动设置。
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代码：
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• h1 = openfig('ClimateCMPS.fig','reuse');
• ax1 = get(h1, 'CurrentAxes');
• h2 = openfig('GermanCMPS.fig','reuse'); % open figure
• ax2 = get(h2, 'CurrentAxes');
• h3 = openfig('SonarCMPS.fig','reuse');
• ax3 = get(h3, 'CurrentAxes');
• h4 = openfig('Musk1CMPS.fig','reuse');
• ax4 = get(h4, 'CurrentAxes');
• h5 = openfig('VoiceCMPS.fig','reuse'); % open figure
• ax5 = get(h5, 'CurrentAxes');
• h6 = openfig('LungcancerCMPS.fig','reuse'); % open figure
• ax6 = get(h6, 'CurrentAxes');
• h7 = figure; %create new figure
• s1 = subplot(2,3,1); %create and get handle to the subplot axes
• fig1 = get(ax1,'children'); %get handle to all the children in the figure
• copyobj(fig1,s1); %copy children to new parent axes i.e. the subplot axes
• title('Climate(18,7.14%)')
• ylabel('Error rate(%)')
• xlabel('Number of features')
• legend()
• s2 = subplot(2,3,2);
• fig2 = get(ax2,'children');
• copyobj(fig2,s2);
• title('German(24,29.58%)')
• ylabel('Error rate(%)')
• xlabel('Number of features')
• legend()
• s3 = subplot(2,3,3); %create and get handle to the subplot axes
• fig3 = get(ax3,'children'); %get handle to all the children in the figure
• copyobj(fig3,s3); %copy children to new parent axes i.e. the subplot axes
• title('Sonar(60,21.75%)')
• ylabel('Error rate(%)')
• xlabel('Number of features')
• legend()
• s4 = subplot(2,3,4);
• fig4 = get(ax4,'children');
• copyobj(fig4,s4);
• title('Musk1(166.18.09%)')
• ylabel('Error rate(%)')
• xlabel('Number of features')
• legend()
• s5 = subplot(2,3,5); %create and get handle to the subplot axes
• fig5 = get(ax5,'children'); %get handle to all the children in the figure
• copyobj(fig5,s5); %copy children to new parent axes i.e. the subplot axes
• title('LSVT(310,19.21%)')
• ylabel('Error rate(%)')
• xlabel('Number of features')
• legend()
• s6 = subplot(2,3,6);
• fig6 = get(ax6,'children');
• copyobj(fig6,s6);
• title('Lungcancer(56,62.33%)')
• ylabel('Error rate(%)')
• xlabel('Number of features')
• legend()
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效果:

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MATLAB多图合一代码模板