Is it possible to add a secondary y axis while using the stackedplot function?

Is it possible to add a secondary y axis while using the stackedplot function? I have some overlayed data in my stackedplot and I would like to add a secondary y axis for some of the individual plots. Is this possible?

Answer 1

[Star Strider]

Apparently not.

Any provision for creating a second y-axis is apparently not available, even when attempting to 'force' it (that can occasionally work with undocumented properties, or at least has in the past). However it is possible to plot two variables on one stackedplot axis.

x = linspace(0, 10, 250).';
ym = sin(x*[1 5 9]*2*pi/10);
T1 = array2table([x ym], VariableNames={'x','y1','y2','y3'})

T1 = 250×4 table
       x           y1         y2          y3    
    ________    ________    _______    _________

           0           0          0            0
    0.040161    0.025231    0.12583      0.22516
    0.080321    0.050446    0.24967      0.43875
     0.12048    0.075629    0.36953      0.62981
     0.16064     0.10076    0.48352      0.78853
      0.2008     0.12583    0.58982      0.90675
     0.24096     0.15082    0.68675      0.97841
     0.28112     0.17572    0.77276      0.99982
     0.32129      0.2005    0.84648      0.96989
     0.36145     0.22516    0.90675      0.89015
     0.40161     0.24967     0.9526      0.76469
     0.44177     0.27402    0.98331      0.59997
     0.48193      0.2982    0.99839      0.40443
     0.52209     0.32219    0.99759      0.18812
     0.56225     0.34597    0.98094    -0.037841
     0.60241     0.36953    0.94869     -0.26186

figure
stackedplot(T1, {{'y2','y3'}, 'y1'} )

●

Ax = gca;
get(Ax)

          AxesProperties: [2×1 matlab.graphics.chart.stackedplot.StackedAxesProperties]
                   Color: [0.0660 0.4430 0.7450]
    CombineMatchingNames: 1
           DisplayLabels: {2×1 cell}
        DisplayVariables: {{1×2 cell}  'y1'}
           EventsVisible: on
                FontName: 'Helvetica'
                FontSize: 8
             GridVisible: off
        HandleVisibility: 'on'
           InnerPosition: [0.1300 0.1100 0.7750 0.8150]
                  Layout: [0×0 matlab.ui.layout.LayoutOptions]
            LegendLabels: {'T1'}
       LegendOrientation: 'horizontal'
           LegendVisible: off
          LineProperties: [2×1 matlab.graphics.chart.stackedplot.StackedLineProperties]
               LineStyle: '-'
               LineWidth: 0.5000
                  Marker: 'none'
         MarkerEdgeColor: [0.0660 0.4430 0.7450]
         MarkerFaceColor: 'none'
              MarkerSize: 6
           OuterPosition: [0 0 1 1]
                  Parent: [1×1 Figure]
                Position: [0.1300 0.1100 0.7750 0.8150]
      PositionConstraint: 'outerposition'
             SourceTable: [250×4 table]
                   Title: ''
                   Units: 'normalized'
                 Visible: on
                   XData: [1×0 double]
                  XLabel: 'Row'
                 XLimits: [1 250]
               XVariable: []
                   YData: []

Ax1 = Ax.AxesProperties(1)

Ax1 = 
  StackedAxesProperties with properties:

           YLimits: [-1.0000 1.0000]
            YScale: 'linear'
      LegendLabels: {'y2'  'y3'}
    LegendLocation: 'northeast'
     LegendVisible: on
    CollapseLegend: off

% Ax1.YAxis(2).YAxisLocation = 'right'

You should be able to do this easily using tiledlayout , for example --

figure
tiledlayout(2,1)
nexttile
yyaxis left
plot(T1.x, T1.y1, DisplayName='y_1')
ylabel('y_1')
yyaxis right
plot(T1.x, T1.y2*2, DisplayName = 'y_2')
grid
ylabel('y_2')
legend(Location='best')

nexttile
plot(T1.x, T1.y3)
grid
xlabel('x')
ylabel('y_3')

.

[Natalie]

Can you make a shared x axis using the tiledlayout or subplot functions. Will this feature be added to the stackedplot function in the future?

[Star Strider]

That approach using tiledlayout is the version I illustrated here. It is possible to change its appearance, however tiledlayout is resistant to some manipulations that subplot provides.

This is likely as close as you can get with tiledlayout --

x = linspace(0, 10, 250).';
ym = sin(x*[1 5 9]*2*pi/10);
T1 = array2table([x ym], VariableNames={'x','y1','y2','y3'})

T1 = 250×4 table
       x           y1         y2          y3    
    ________    ________    _______    _________

           0           0          0            0
    0.040161    0.025231    0.12583      0.22516
    0.080321    0.050446    0.24967      0.43875
     0.12048    0.075629    0.36953      0.62981
     0.16064     0.10076    0.48352      0.78853
      0.2008     0.12583    0.58982      0.90675
     0.24096     0.15082    0.68675      0.97841
     0.28112     0.17572    0.77276      0.99982
     0.32129      0.2005    0.84648      0.96989
     0.36145     0.22516    0.90675      0.89015
     0.40161     0.24967     0.9526      0.76469
     0.44177     0.27402    0.98331      0.59997
     0.48193      0.2982    0.99839      0.40443
     0.52209     0.32219    0.99759      0.18812
     0.56225     0.34597    0.98094    -0.037841
     0.60241     0.36953    0.94869     -0.26186

figure
tiledlayout(2,1, TileSpacing='none')
nexttile
yyaxis left
plot(T1.x, T1.y1, DisplayName='y_1')
ylabel('y_1')
Axl = gca;
Axl.XAxis.Color = 'none';
yyaxis right
plot(T1.x, T1.y2*2, DisplayName = 'y_2')
grid
ylabel('y_2')
legend(Location='best')
nexttile
plot(T1.x, T1.y3)
grid
xlabel('x')
ylabel('y_3')

The subplot funciton may offer more options, particularly with respect to the Innerposition and OuterPosition properties (that aren't available in tiledlayout). Much depends on what you want to do.

.