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。
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() |
效果:
