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plotOnSubPlot

Plot signals on Simulink.sdi.CustomSnapshot object subplots

Description

example

plotOnSubPlot(snap,r,c,sig,plotMode) plots the signal sig on the subplot in the Simulink.sdi.CustomSnapshot object snap specified by the row index r and the column index c when the plotting mode plotMode is true. When plotMode is false, plotOnSubPlot clears the signal sig from the subplot.

Examples

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Copy view settings from one run to another and create figures using the Simulink.sdi.CustomSnapshot object.

Simulate Model and Get Run Object

Configure the vdp model to save output data. Run a simulation to create data.

load_system("vdp")
set_param("vdp","SaveFormat","Dataset","SaveOutput","on")
set_param("vdp/Mu","Gain","1");
sim("vdp");

Use the Simulation Data Inspector programmatic interface to access the run data.

runIndex = Simulink.sdi.getRunCount;
runID = Simulink.sdi.getRunIDByIndex(runIndex);
vdpRun = Simulink.sdi.getRun(runID);

Modify Signal View Settings

Use the Simulink.sdi.Run object to access signals in the run. Then, modify the signal view settings. This example specifies the line color and style for each signal. The view settings for the run comprise the view settings for each signal and view settings specified for the plot area.

sig1 = getSignalByIndex(vdpRun,1);
sig2 = getSignalByIndex(vdpRun,2);

sig1.LineColor = [0 0 1];
sig1.LineDashed = "-.";

sig2.LineColor = [1 0 0];
sig2.LineDashed = ":";

Capture Snapshot from Simulation Data Inspector

Create a Simulink.sdi.CustomSnapshot object and use the Simulink.sdi.snapshot function to programmatically capture a snapshot of the contents of the Simulation Data Inspector.

snap = Simulink.sdi.CustomSnapshot;

You can use properties of the Simulink.sdi.CustomSnapshot object to configure the plot settings, such as the subplot layout and axis limits, and to plot signals. When you use a Simulink.sdi.CustomSnapshot object to create your figure, these plot settings do not affect the Simulation Data Inspector.

snap.Rows = 2;
snap.YRange = {[-2.25 2.25],[-3 3]};
plotOnSubPlot(snap,1,1,sig1,true)
plotOnSubPlot(snap,2,1,sig2,true)

Use the Simulink.sdi.snapshot function to generate the figure you specified in the properties of the Simulink.sdi.CustomSnapshot object.

fig = Simulink.sdi.snapshot("From","custom","To","figure","Settings",snap);

Copy View Settings to New Simulation Run

Simulate the model again, with a different Mu value. Use the Simulation Data Inspector programmatic interface to access the simulation data.

set_param("vdp/Mu","Gain",".5")
sim("vdp");

runIndex2 = Simulink.sdi.getRunCount;
runID2 = Simulink.sdi.getRunIDByIndex(runIndex2);
run2 = Simulink.sdi.getRun(runID2);

To create a plot of the new output data that looks like the one you created in the previous step, you can copy the view settings to the run in a single line of code using the Simulink.sdi.copyRunViewSettings function. This function does not automatically update plot settings in Simulink.sdi.CustomSnapshot objects, so specify the input that determines whether the plot updates as false.

sigIDs = Simulink.sdi.copyRunViewSettings(runID,runID2,false);

Capture Snapshot of New Simulation Run

Use the Simulink.sdi.CustomSnapshot object to capture a snapshot of the new simulation run. First, clear the signals from the subplots. Then, plot the signals from the new run and capture another snapshot.

clearSignals(snap)
snap.YRange = {[-2.25 2.25],[-8 8]};
plotOnSubPlot(snap,1,1,sigIDs(1),true)
plotOnSubPlot(snap,2,1,sigIDs(2),true)


fig = snapshot(snap,"To","figure");

Input Arguments

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Custom snapshot settings, specified as a Simulink.sdi.CustomSnapshot object.

Row index for subplot, specified as an integer between 1 and 8, inclusive.

Example: 2

Column index for subplot, specified as an integer between 1 and 8, inclusive.

Example: 3

Signal to plot, specified as a Simulink.sdi.Signal object or as a signal ID corresponding to the signal you want to plot.

Plotting mode, specified as:

  • true – Plot the signal on the subplot.

  • false – Clear the signal from the subplot.

Data Types: logical

Version History

Introduced in R2018a