How to plot graph with three axsis (an example figure is included )

Hi

I have three variables and would like to plot them as in the following figure which was produced in Excel.

The Red curve is plot by x,y axis (time vs rho). the blue curve is plotted by x,z axis (N vs rho) the yellow curve is plotted by x,z axis (N vs rho)

Thanks in advance.

Answer 1

[dpb]

...not sure what is the mistake I am doing. As you can see in the figure that the legend does not reflect the curves colors.

Don't plot the same stuff multiple times...you've thoroughly confused legend by having multiple lines of the same stuff.

A) Plot the data on the axes desired...

[hax hl1 hl2] = plotyy(rho,time,rho,[avg_n max_n],'semilogy','plot');

B) Then fixup the line handles to the desired properties...

    set(hl1,'MarkerFaceColor',[0 0.498039215803146 0],...
            'MarkerEdgeColor',[0 0.498039215803146 0],...
            'Marker','>',...
            'Color',[0 0.498039215803146 0],'MarkerSize',5,'LineWidth',2)

and so on for the two on the RH axis using hl2(1) and hl2(2)

Then legend will have only the three needed lines, not two or three copies of each.

[Bander]

Thanks for your valuable comment, I have tried the way you said but it f=give me the following error:

 ??? Undefined function or method 'h12' for input arguments of type    'double'.

Error in ==> plot_RHO_vs_n at 42
set(h12(2),'MarkerFaceColor',[0 0 1],'MarkerEdgeColor',[0 0 1],...

Here is an updated code as you suggestion:

 dataRHO=load('RHO_max_k_n_time5.txt');
 figure(1)
 time=dataRHO(:,end);
 rho=dataRHO(:,5);
 avg_n=dataRHO(:,3);
 max_n=dataRHO(:,2);

 hax hl1 hl2] = plotyy(rho,time,rho,[avg_n max_n],'semilogy','plot');

 set(hl1,'MarkerFaceColor',[0 0.498039215803146 0],...
            'MarkerEdgeColor',[0 0.498039215803146 0],...
            'Marker','>',...
            'Color',[0 0.498039215803146 0],'MarkerSize',5,'LineWidth',2)

set(hl2(1),'MarkerFaceColor',[1 0 0],'MarkerEdgeColor',[1 0 0],...
      'Marker','o',...
      'LineStyle','--',...
      'Color',[1 0 0],'MarkerSize',6,'LineWidth',2)
set(h12(2),'MarkerFaceColor',[0 0 1],'MarkerEdgeColor',[0 0 1],...
      'Marker','square',...
      'LineStyle','--','MarkerSize',5,'LineWidth',2)

 ylabel(hax12(1),'Safe Window','FontSize',14)
 ylabel(hax12(2),'n','FontSize',14)
 xlabel('\rho_m','FontSize',14)
 legend('Safe Window vs \rho_{m}','n_{avg} vs \rho_m','n_{max} vs \rho_m')
 hold off
 grid on

Answer 2

[Ryan]

This looks like what you are looking for.

http://www.mathworks.com/help/matlab/creating_plots/graph-with-multiple-x-axes-and-y-axes.html

Answer 3

[dpb]

doc plotyy

Answer 4

[Bander]

I have tried plotyy but not sure what is the mistake I am doing. As you can see in the figure that the legend does not reflect the curves colors.

here is the code:

    dataRHO=load('RHO_max_k_n_time5.txt');
    figure(1)
    time=dataRHO(:,end);
    rho=dataRHO(:,5);
    avg_n=dataRHO(:,3);
    max_n=dataRHO(:,2);

   [hax12 line1 hline2] = plotyy(rho,time,rho,avg_n,'semilogy','plot')
   set(hax12,'NextPlot','add')
    plot(hax12(1),rho,time,'MarkerFaceColor',[0 0.498039215803146 0],...
      'MarkerEdgeColor',[0 0.498039215803146 0],...
      'Marker','>',...
      'Color',[0 0.498039215803146 0],'MarkerSize',5,'LineWidth',2)

       plot(hax12(2),rho,avg_n,'MarkerFaceColor',[1 0 0],'MarkerEdgeColor',[1 0 0],...
       'Marker','o',...
       'LineStyle','--',...
       'Color',[1 0 0],'MarkerSize',6,'LineWidth',2)
       plot(hax12(2),rho,max_n,'MarkerFaceColor',[0 0 1],'MarkerEdgeColor',[0 0 1],...
      'Marker','square',...
      'LineStyle','--','MarkerSize',5,'LineWidth',2)

    ylabel(hax12(1),'Safe Window','FontSize',14)
    ylabel(hax12(2),'n','FontSize',14)
    xlabel('\rho_m','FontSize',14)
    legend('Safe Window vs \rho_{m}','n_{avg} vs \rho_m','n_{max} vs \rho_m')
    hold off
    grid on

Answer 5

[Bander]

. . . . . . . Any help please.

[Image Analyst]

You've had 4 answers already. Did you overlook them?

[dpb]

The revised one you posted looks ok to me...whatever it was that was the typo that created the error is/would be readily fixable; in fact, it looks like that's precisely what you did to generate the figure.

What, specifically, is wrong with it?