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SCILAB Adding legend in a plot generated by a loop


Accessing the index in 'for' loops?How do I loop through or enumerate a JavaScript object?JavaScript closure inside loops – simple practical exampleHow do I break out of nested loops in Java?Looping through the content of a file in BashLoop through an array in JavaScriptHow to put the legend out of the plotSave plot to image file instead of displaying it using MatplotlibDraw legend on a plot using different colorsggplot2 legends: Adding items not in plot code to the legend & changing shapes in legend






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0















I´d like to know how to add legend in a plot generated by a loop in SciLab. There are 4 loops and each loop has a different legend (and colors).



I tried the code bellow. However, gives me the 4 legends but with the same color (in the case red).



inta=read("H_intacta_num.txt",-1,1500)
d1=read("H_dano1_num.txt",-1,1500)
d2=read("H_dano2_num.txt",-1,1500)
d3=read("H_dano3_num.txt",-1,1500)
leia1=read("Dados_MagN1.txt",-1,3);
frequ=leia1(:,1)

\loop1 - red (label: healthy)
for i=48:94
plot(frequ,inta(i,:),'r')
end

\loop 2 - blue (label: Damaged_L1)
for j=48:94
plot(frequ,d1(j,:),'b')
end

\loop 3 - black (label: Damaged_L2)
for j=37:72
plot(frequ,d2(j,:),'k')
end

\loop 4 - ciano (label: Damaged_L3)
for j=36:70
plot(frequ,d3(j,:),'c')
end

ylabel("Amplitude (m/s^2)/N")
xlabel("Frequency (Hz)")
p=legend(['Healthy';'Damaged_L1';'Damaged_L2';'Damaged_L3'],[2])










share|improve this question




























    0















    I´d like to know how to add legend in a plot generated by a loop in SciLab. There are 4 loops and each loop has a different legend (and colors).



    I tried the code bellow. However, gives me the 4 legends but with the same color (in the case red).



    inta=read("H_intacta_num.txt",-1,1500)
    d1=read("H_dano1_num.txt",-1,1500)
    d2=read("H_dano2_num.txt",-1,1500)
    d3=read("H_dano3_num.txt",-1,1500)
    leia1=read("Dados_MagN1.txt",-1,3);
    frequ=leia1(:,1)

    \loop1 - red (label: healthy)
    for i=48:94
    plot(frequ,inta(i,:),'r')
    end

    \loop 2 - blue (label: Damaged_L1)
    for j=48:94
    plot(frequ,d1(j,:),'b')
    end

    \loop 3 - black (label: Damaged_L2)
    for j=37:72
    plot(frequ,d2(j,:),'k')
    end

    \loop 4 - ciano (label: Damaged_L3)
    for j=36:70
    plot(frequ,d3(j,:),'c')
    end

    ylabel("Amplitude (m/s^2)/N")
    xlabel("Frequency (Hz)")
    p=legend(['Healthy';'Damaged_L1';'Damaged_L2';'Damaged_L3'],[2])










    share|improve this question
























      0












      0








      0








      I´d like to know how to add legend in a plot generated by a loop in SciLab. There are 4 loops and each loop has a different legend (and colors).



      I tried the code bellow. However, gives me the 4 legends but with the same color (in the case red).



      inta=read("H_intacta_num.txt",-1,1500)
      d1=read("H_dano1_num.txt",-1,1500)
      d2=read("H_dano2_num.txt",-1,1500)
      d3=read("H_dano3_num.txt",-1,1500)
      leia1=read("Dados_MagN1.txt",-1,3);
      frequ=leia1(:,1)

      \loop1 - red (label: healthy)
      for i=48:94
      plot(frequ,inta(i,:),'r')
      end

      \loop 2 - blue (label: Damaged_L1)
      for j=48:94
      plot(frequ,d1(j,:),'b')
      end

      \loop 3 - black (label: Damaged_L2)
      for j=37:72
      plot(frequ,d2(j,:),'k')
      end

      \loop 4 - ciano (label: Damaged_L3)
      for j=36:70
      plot(frequ,d3(j,:),'c')
      end

      ylabel("Amplitude (m/s^2)/N")
      xlabel("Frequency (Hz)")
      p=legend(['Healthy';'Damaged_L1';'Damaged_L2';'Damaged_L3'],[2])










      share|improve this question














      I´d like to know how to add legend in a plot generated by a loop in SciLab. There are 4 loops and each loop has a different legend (and colors).



      I tried the code bellow. However, gives me the 4 legends but with the same color (in the case red).



      inta=read("H_intacta_num.txt",-1,1500)
      d1=read("H_dano1_num.txt",-1,1500)
      d2=read("H_dano2_num.txt",-1,1500)
      d3=read("H_dano3_num.txt",-1,1500)
      leia1=read("Dados_MagN1.txt",-1,3);
      frequ=leia1(:,1)

      \loop1 - red (label: healthy)
      for i=48:94
      plot(frequ,inta(i,:),'r')
      end

      \loop 2 - blue (label: Damaged_L1)
      for j=48:94
      plot(frequ,d1(j,:),'b')
      end

      \loop 3 - black (label: Damaged_L2)
      for j=37:72
      plot(frequ,d2(j,:),'k')
      end

      \loop 4 - ciano (label: Damaged_L3)
      for j=36:70
      plot(frequ,d3(j,:),'c')
      end

      ylabel("Amplitude (m/s^2)/N")
      xlabel("Frequency (Hz)")
      p=legend(['Healthy';'Damaged_L1';'Damaged_L2';'Damaged_L3'],[2])







      loops plot legend scilab






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Mar 23 at 14:27









      LVoltzLVoltz

      114




      114






















          1 Answer
          1






          active

          oldest

          votes


















          1














          Here legend will consider the first 4 polylines in the stack, hence red ones. You can change the links this way (btw line comment is // not \)



          //loop1 - red (label: healthy)
          for i=48:94
          plot(frequ,inta(i,:),'r')
          end
          h(1)=gce()

          //loop 2 - blue (label: Damaged_L1)
          for j=48:94
          plot(frequ,d1(j,:),'b')
          end
          h(2)=gce()

          //loop 3 - black (label: Damaged_L2)
          for j=37:72
          plot(frequ,d2(j,:),'k')
          end
          h(3)=gce()

          //loop 4 - ciano (label: Damaged_L3)
          for j=36:70
          plot(frequ,d3(j,:),'c')
          end
          h(4)=gce()

          ylabel("Amplitude (m/s^2)/N")
          xlabel("Frequency (Hz)")
          p=legend(h, ['Healthy';'Damaged_L1';'Damaged_L2';'Damaged_L3'],[2])





          share|improve this answer























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            1 Answer
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            active

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            active

            oldest

            votes






            active

            oldest

            votes









            1














            Here legend will consider the first 4 polylines in the stack, hence red ones. You can change the links this way (btw line comment is // not \)



            //loop1 - red (label: healthy)
            for i=48:94
            plot(frequ,inta(i,:),'r')
            end
            h(1)=gce()

            //loop 2 - blue (label: Damaged_L1)
            for j=48:94
            plot(frequ,d1(j,:),'b')
            end
            h(2)=gce()

            //loop 3 - black (label: Damaged_L2)
            for j=37:72
            plot(frequ,d2(j,:),'k')
            end
            h(3)=gce()

            //loop 4 - ciano (label: Damaged_L3)
            for j=36:70
            plot(frequ,d3(j,:),'c')
            end
            h(4)=gce()

            ylabel("Amplitude (m/s^2)/N")
            xlabel("Frequency (Hz)")
            p=legend(h, ['Healthy';'Damaged_L1';'Damaged_L2';'Damaged_L3'],[2])





            share|improve this answer



























              1














              Here legend will consider the first 4 polylines in the stack, hence red ones. You can change the links this way (btw line comment is // not \)



              //loop1 - red (label: healthy)
              for i=48:94
              plot(frequ,inta(i,:),'r')
              end
              h(1)=gce()

              //loop 2 - blue (label: Damaged_L1)
              for j=48:94
              plot(frequ,d1(j,:),'b')
              end
              h(2)=gce()

              //loop 3 - black (label: Damaged_L2)
              for j=37:72
              plot(frequ,d2(j,:),'k')
              end
              h(3)=gce()

              //loop 4 - ciano (label: Damaged_L3)
              for j=36:70
              plot(frequ,d3(j,:),'c')
              end
              h(4)=gce()

              ylabel("Amplitude (m/s^2)/N")
              xlabel("Frequency (Hz)")
              p=legend(h, ['Healthy';'Damaged_L1';'Damaged_L2';'Damaged_L3'],[2])





              share|improve this answer

























                1












                1








                1







                Here legend will consider the first 4 polylines in the stack, hence red ones. You can change the links this way (btw line comment is // not \)



                //loop1 - red (label: healthy)
                for i=48:94
                plot(frequ,inta(i,:),'r')
                end
                h(1)=gce()

                //loop 2 - blue (label: Damaged_L1)
                for j=48:94
                plot(frequ,d1(j,:),'b')
                end
                h(2)=gce()

                //loop 3 - black (label: Damaged_L2)
                for j=37:72
                plot(frequ,d2(j,:),'k')
                end
                h(3)=gce()

                //loop 4 - ciano (label: Damaged_L3)
                for j=36:70
                plot(frequ,d3(j,:),'c')
                end
                h(4)=gce()

                ylabel("Amplitude (m/s^2)/N")
                xlabel("Frequency (Hz)")
                p=legend(h, ['Healthy';'Damaged_L1';'Damaged_L2';'Damaged_L3'],[2])





                share|improve this answer













                Here legend will consider the first 4 polylines in the stack, hence red ones. You can change the links this way (btw line comment is // not \)



                //loop1 - red (label: healthy)
                for i=48:94
                plot(frequ,inta(i,:),'r')
                end
                h(1)=gce()

                //loop 2 - blue (label: Damaged_L1)
                for j=48:94
                plot(frequ,d1(j,:),'b')
                end
                h(2)=gce()

                //loop 3 - black (label: Damaged_L2)
                for j=37:72
                plot(frequ,d2(j,:),'k')
                end
                h(3)=gce()

                //loop 4 - ciano (label: Damaged_L3)
                for j=36:70
                plot(frequ,d3(j,:),'c')
                end
                h(4)=gce()

                ylabel("Amplitude (m/s^2)/N")
                xlabel("Frequency (Hz)")
                p=legend(h, ['Healthy';'Damaged_L1';'Damaged_L2';'Damaged_L3'],[2])






                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered Mar 24 at 16:44









                Stéphane MotteletStéphane Mottelet

                545113




                545113





























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