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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。3 g4 W( E0 y0 E. X7 Z9 \4 [6 ~! \
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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。4 h/ e- l3 X# i t9 C v
- Y/ W/ P% N) D6 o* Q" A# e7 B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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3 Q+ k& z0 D f0 D- W效果:
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发表于 2020-10-13 16:56
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淘帖
支持！
反对！