gca function in matlab

Question

civs 2014-8-20

1
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此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/151633-gca-function-in-matlab

评论： Shashibhushan Sharma 2018-4-19

采纳的回答： Iain

I have read the matlab docs but I don't understand what gca really does. Can somebody explain it to me? Thanks!

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Answer 1

Iain 2014-8-20

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https://ww2.mathworks.cn/matlabcentral/answers/151633-gca-function-in-matlab#answer_149215

gca returns the handle to the current axis. - it generates one if there is no current axis.

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civs 2014-8-20

Michael, thanks for the answer! it's clear now :)

Shashibhushan Sharma 2018-4-19

在 MATLAB Online 中打开

 I use the command to plot matlab figure. I also use the code 
set (gca) 
d=axes('position',get(gca,'position'),'visible','off');
but there are so many things comes in command window. I afraid with these. Are these any problem in plotting the matlab figure?
These are
                       ALim: {}
                   ALimMode: {'auto'  'manual'}
     ActivePositionProperty: {1×2 cell}
          AmbientLightColor: {1×0 cell}
                        Box: {'on'  'off'}
                   BoxStyle: {'full'  'back'}
                 BusyAction: {1×2 cell}
              ButtonDownFcn: {}
                       CLim: {}
                   CLimMode: {'auto'  'manual'}
             CameraPosition: {}
         CameraPositionMode: {'auto'  'manual'}
               CameraTarget: {}
           CameraTargetMode: {'auto'  'manual'}
             CameraUpVector: {}
         CameraUpVectorMode: {'auto'  'manual'}
            CameraViewAngle: {}
        CameraViewAngleMode: {'auto'  'manual'}
                   Children: {}
                   Clipping: {'on'  'off'}
              ClippingStyle: {1×2 cell}
                      Color: {1×0 cell}
                 ColorOrder: {}
            ColorOrderIndex: {}
                  CreateFcn: {}
            DataAspectRatio: {}
        DataAspectRatioMode: {'auto'  'manual'}
                  DeleteFcn: {}
                  FontAngle: {1×2 cell}
                   FontName: {}
                   FontSize: {}
              FontSmoothing: {'on'  'off'}
                  FontUnits: {1×5 cell}
                 FontWeight: {'normal'  'bold'}
                  GridAlpha: {}
              GridAlphaMode: {'auto'  'manual'}
                  GridColor: {1×0 cell}
              GridColorMode: {'auto'  'manual'}
              GridLineStyle: {1×5 cell}
           HandleVisibility: {1×3 cell}
                    HitTest: {'on'  'off'}
              Interruptible: {'on'  'off'}
    LabelFontSizeMultiplier: {}
                      Layer: {'bottom'  'top'}
             LineStyleOrder: {}
        LineStyleOrderIndex: {}
                  LineWidth: {}
             MinorGridAlpha: {}
         MinorGridAlphaMode: {'auto'  'manual'}
             MinorGridColor: {1×0 cell}
         MinorGridColorMode: {'auto'  'manual'}
         MinorGridLineStyle: {1×5 cell}
                   NextPlot: {1×4 cell}
              OuterPosition: {}
                     Parent: {}
              PickableParts: {1×3 cell}
         PlotBoxAspectRatio: {}
     PlotBoxAspectRatioMode: {'auto'  'manual'}
                   Position: {}
                 Projection: {1×2 cell}
                   Selected: {'on'  'off'}
         SelectionHighlight: {'on'  'off'}
                 SortMethod: {1×2 cell}
                        Tag: {}
                    TickDir: {1×3 cell}
                TickDirMode: {'auto'  'manual'}
       TickLabelInterpreter: {1×3 cell}
                 TickLength: {}
                      Title: {}
    TitleFontSizeMultiplier: {}
            TitleFontWeight: {'normal'  'bold'}
              UIContextMenu: {}
                      Units: {1×6 cell}
                   UserData: {}
                       View: {}
                    Visible: {'on'  'off'}
                      XAxis: {}
              XAxisLocation: {1×3 cell}
                     XColor: {1×0 cell}
                 XColorMode: {'auto'  'manual'}
                       XDir: {1×2 cell}
                      XGrid: {'on'  'off'}
                     XLabel: {}
                       XLim: {}
                   XLimMode: {'auto'  'manual'}
                 XMinorGrid: {'on'  'off'}
                 XMinorTick: {'on'  'off'}
                     XScale: {'linear'  'log'}
                      XTick: {}
                 XTickLabel: {}
             XTickLabelMode: {'auto'  'manual'}
         XTickLabelRotation: {}
                  XTickMode: {'auto'  'manual'}
              YAxisLocation: {1×3 cell}
                     YColor: {1×0 cell}
                 YColorMode: {'auto'  'manual'}
                       YDir: {1×2 cell}
                      YGrid: {'on'  'off'}
                     YLabel: {}
                       YLim: {}
                   YLimMode: {'auto'  'manual'}
                 YMinorGrid: {'on'  'off'}
                 YMinorTick: {'on'  'off'}
                     YScale: {'linear'  'log'}
                      YTick: {}
                 YTickLabel: {}
             YTickLabelMode: {'auto'  'manual'}
         YTickLabelRotation: {}
                  YTickMode: {'auto'  'manual'}
                      ZAxis: {}
                     ZColor: {1×0 cell}
                 ZColorMode: {'auto'  'manual'}
                       ZDir: {1×2 cell}
                      ZGrid: {'on'  'off'}
                     ZLabel: {}
                       ZLim: {}
                   ZLimMode: {'auto'  'manual'}
                 ZMinorGrid: {'on'  'off'}
                 ZMinorTick: {'on'  'off'}
                     ZScale: {'linear'  'log'}
                      ZTick: {}
                 ZTickLabel: {}
             ZTickLabelMode: {'auto'  'manual'}
         ZTickLabelRotation: {}
                  ZTickMode: {'auto'  'manual'}

>> my code to plot the matlab figure given below as: if (Ps==Ps1(1)) yyaxis left T1=semilogy(Bi,sop_si,'*'); grid on;hold on; T2=semilogy(Bi,sop_th,'-'); grid on;hold on; xlabel('Power Splitting Factor for Energy Harvesting, (\beta)'); ylabel('Secrecy Outage Probablity');

        yyaxis right
        T3=semilogy(Bi,p_out_si,'>');
        grid on;hold on;
        T4=semilogy(Bi,p_out_th,'-');
        grid on;hold on;
        ylabel('Harvested Power Outage Probability')
else
        yyaxis left
        D1=semilogy(Bi,sop_si,'*');
        grid on;hold on;
        D2=semilogy(Bi,sop_th,'-');
        grid on;hold on;
        yyaxis right
        D3=semilogy(Bi,p_out_si,'>');
        grid on;hold on;
        D4=semilogy(Bi,p_out_th,'-');
        grid on;hold on;
d=axes('position',get(gca,'position'),'visible','off');
legend([T1 T2 D1 D2],'Simulation, P_S=5 dBW, SOP', 'Analytical, P_S=5 dBW, SOP','Simulation, P_S=10 dBW, SOP', 'Analytical, P_S=10 dBW, SOP','Location','NorthEastoutside');

legend(d,[T3 T4 D3 D4],'Simulation, P_S=5 dBW, HPOP', 'Analytical, P_S=5 dBW, HPOP','Simulation, P_S=10 dBW, HPOP', 'Analytical, P_S=10 dBW, HPOP','Location','EastOutside');

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Answer 2

Salaheddin Hosseinzadeh 2014-8-20

2
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/151633-gca-function-in-matlab#answer_149218

在 MATLAB Online 中打开

Hi Civs,

To my knowledge whenever an object is created (figure, window, axes, function,...) a handle is associates to the object it's like when you want do define a number value, you assign it to a variable,

a = 2;

when you create a figure, axes and ... you can assign them to a variable(handle)

h = figure()
I = axes()

so when you want to plot on a specific axes, let's say you have 10 figures and axes open, and you want to plot on an axes you previously names regression

regression = axes(); % this creates an axes and name it regression
plot(regression,x,y); % this plots on the axes named regression not the other ones

to find which axis is currently viewing or which one is recently clicked (viewed), or more programmatically speaking has the focus, you can use gca which gives you the handle(assume it as variable) to the current figure.