idplot

Plot input and output channels of estimation data

Since R2023a

Syntax

idplot(data)

idplot(data,LineSpec)

idplot(data1,...,dataN)

idplot(data1,LineSpec1...,dataN,LineSpecN)

idplot(axes_handle,___)

sys = idplot(___,Name,Value)

idplot(___,plotoptions)

h = idplot(___)

Description

Plot Data

idplot(data) plots the input and output channels of the data data. data can be a timetable, a comma-separated matrix pair, a single matrix, or an iddata object.

The function plots the outputs on the top axes and the inputs on the bottom axes. When data is a timetable, the software assumes that the last variable is the sole output channel and that the remaining variables are the input channels. If you have data that does not fit this pattern, specify the channels using the InputName and OutputName name-value arguments.

• For time-domain data, the input and output signals are plotted as a function of time. The specification for the input intersample behavior (InputInterSample option in dataPlotOptions when data is a timetable or numeric matrix pair, data.InterSample when data is an iddata object) determines whether the input signals are plotted as linearly interpolated curves or as staircase plots. For example, if data.InterSample = 'zoh', the input is piecewise constant between sampling points, and is plotted accordingly.

• For frequency-domain data, the magnitude and phase of each input and output signal are plotted over the available frequency span.

To plot a subset of the data, use subreferencing:

• idplot(data(201:300,:)) plots all the variables in the samples 201 to 300 in the timetable object data.

• idplot(udata(201:300,:),ydata(201:300,:)) plots the samples 201 to 300 in the matrix pair data.

• idplot(data(201:300)) plots the samples 201 to 300 in the iddata object data.

• idplot(data(201:300,'Altitude',{'Angle_of_attack','Speed'})) plots the specified samples of the output named Altitude and the inputs named Angle_of_attack and Speed.

• idplot(data(:,[3 4],[3:7])) plots all samples of output channel numbers 3 and 4 and input numbers 3 through 7.

idplot(data,LineSpec) specifies the color, line style, and marker symbol for the dataset.

idplot(data1,...,dataN) plots multiple datasets. The number of plot axes is determined by the number of unique input and output names among all the datasets.

idplot(data1,LineSpec1...,dataN,LineSpecN) specifies the line style, marker type, and color for each dataset. You can specify options for only some data sets. For example, idplot(data1,data2,'k',data3) specifies black as the plot color for data2.

Use Plot Handle to Specify Axes

idplot(axes_handle,___) plots into the axes with the handle axes_handle instead of into the current axes (gca). Use this syntax with any of the input argument combinations in the previous syntaxes.

Specify Additional Model Options

sys = idplot(___,Name,Value) incorporates additional options specified by one or more name-value arguments.

For example, specify output and input channels using the name-value arguments OutputName and InputName. Use this syntax when data is a timetable and does not follow the default software interpretation of the last variable being the sole output channel and all other channels being input channels.

If you specify 'OutputName' and all the other variables in data are input channels, you do not need to specify 'InputName'.

Specify Plot Options

idplot(___,plotoptions) specifies the plot options.

Return Plot Handle

h = idplot(___) returns the handle to the plot. You can use this handle to customize the plot with getoptions and setoptions.

Examples

Plot Time-Domain Input-Output Data

Load the data in tt1, which is a timetable.

load sdata1 tt1;

Plot the data.

idplot(tt1)

The function plots the output on the top axes and the input on the bottom axes.

Plot the first 100 samples.

idplot(tt1(1:100,:))

Only the first 100 samples appear in the plot.

You can undock and right-click the plot to explore characteristics such as peak and mean values.

Plot Input Data, Output Data, and Input-Output Data

Load the data in umat1 and ymat1, which are numeric input and output matrices, and the sample time in Ts.

load sdata1 umat1 ymat1 Ts

Plot only the input.

idplot(umat1,[],'Ts',Ts)

Plot only the output.

idplot([],ymat1,'Ts',Ts)

Plot the input and output together.

idplot(umat1,ymat1,'Ts',Ts)

Plot Frequency-Domain Input-Output Data

Load the data.

load iddata1 z1

Convert the data to the frequency domain.

zf = fft(z1);

Plot the data.

idplot(zf);

Plot Multiple Data Sets

Timetable Data

Load two data sets.

load sdata1 tt1
load sdata2 tt2

Plot both datasets.

idplot(tt1,tt2)

Because the data sets use the same input and output names, the function plots both data sets together.

Specify unique input and output names.

tt1.Properties.VariableNames = {'tt1_input' 'tt1_output'};
tt2.Properties.VariableNames = {'tt2_input' 'tt2_output'};

Plot both datasets.

idplot(tt1,tt2)

The function plots the data sets separately.

Matrix Data

Load two data sets.

load sdata1 umat1 ymat1
load sdata2 umat2 ymat2

Plot both datasets.

idplot(umat1,ymat1,umat2,ymat2)

The function plots both data sets together. Because Ts is not included in the previous command, the software assumes that the sample time is 1 second.

iddata Data

Load two data sets.

load iddata1 z1
load iddata2 z2

Plot both datasets.

plot(z1,z2)

Because the data sets use the same input and output names, the function plots both data sets together.

Specify unique input and output names.

z1.InputName = "z1_input";
z2.InputName = "z2_input";
z1.OutputName = "z1_output";
z2.OutputName = "z2_output";

Plot both datasets.

plot(z1,z2)

The function plots the data sets separately.

Plot Multiexperiment Data

Create a multiexperiment data set.

load iddata1 z1
load iddata2 z2
zm = merge(z1,z2);

Plot the data.

idplot(zm)
legend('show')

For multiexperiment data, each experiment is treated as a separate data set. You can right-click the plots to view their characteristics.

Plot Specified Input and Output Timetable Variables

Load the timetable ttsteam, which contains two input variables and two output variables. View the variable names.

load steamdata ttsteam
ttsteam.Properties.VariableNames

ans = 1×4 cell
    {'Pressure'}    {'MagVolt'}    {'GenVolt'}    {'Speed'}

The output variables are GenVolt and Speed. The input variables are Pressure and Magvolt.

Try plotting the variables without specifying input and output names.

idplot(ttsteam)

The software assumes that only the last variable, 'Speed', is an output. Use the 'InputName' and 'OutputName' name-value arguments to specify the corresponding variables.

InputName = {"Pressure" "MagVolt"};
OutputName = {"GenVolt" "Speed"};
idplot(ttsteam,'InputName',InputName,'OutputName',OutputName)

In this case, since all the variables in ttsteam are either inputs or outputs, you can also specify only the outputs. The software interprets the remaining variables as inputs.

idplot(ttsteam,'OutputName',OutputName)

Specify Line Style, Marker Symbol, and Color

Load two data sets.

load sdata1 umat1 ymat1;
load sdata2 umat2 ymat2;

Specify the line style for both data sets.

idplot(umat1,ymat1,'y:*',umat2,ymat2,'b')

Specify Axes Handle

Create a figure with two subplots and return the handles for each subplot axes in s.

figure % new figure
s(1) = subplot(1,2,1); % left subplot
s(2) = subplot(1,2,2); % right subplot

Load the data sets.

load sdata1 tt1;
load sdata2 tt2;

Create a data plot in each axes using the handles.

idplot(s(1),tt1)

idplot(s(2),tt2)

Get and Use Axes Handle

Get the handle to your current plot and modify an axis property.

Load and plot the data.

load iddata1 z1
idplot(z1)

Get the axes handle for the plot.

ah = gca

ah = 
  Axes (u1) with properties:

             XLim: [0.1000 30]
             YLim: [-1 1]
           XScale: 'linear'
           YScale: 'linear'
    GridLineStyle: '-'
         Position: [0.1300 0.1100 0.7750 0.3334]
            Units: 'normalized'

  Show all properties

The display shows the properties of the axes handle.

The scale of the x-axis xScale is 'linear'. Change xScale to 'log'.

ah.XScale = 'log';

The x-axis now displays a log scale.

Specify Plot Options

Configure a time plot.

opt = dataPlotOptions('time');

Specify minutes as the time unit of the plot.

opt.TimeUnits = 'minutes';

Turn the grid on.

opt.Grid = 'on';

Create the plot with the options specified by opt.

load sdata1 umat1 ymat1 Ts
idplot(umat1,ymat1,'Ts',Ts,opt);

Change Plot Properties Using Handle

Create a data plot and return the handle.

load sdata1 tt1;
h = idplot(tt1);

Set the time unit of the plot.

setoptions(h,'TimeUnits','minutes');

Change Orientation of Input-Output Data Axes

Generate data with two inputs and one output.

z = iddata(randn(100,1),rand(100,2));

Configure a time plot.

opt = iddataPlotOptions('time');

Plot the data.

h = idplot(z,opt);

Change the orientation of the plots such that all inputs are plotted in one column, and all outputs are in a second column.

opt.Orientation = 'two-column';
h = idplot(z,opt);

Alternatively, use setoptions.

setoptions(h,'Orientation','two-column')

You can also change the orientation by right-clicking the plot and choosing Orientation in the context menu.

Input Arguments

data — Measured input/output data

timetable | numeric matrix pair | iddata object

Measured uniformly sampled input/output data, specified as a timetable, comma-separated pair of numeric input/output matrices, or iddata object. The specification for data depends on the data type.

Timetable

Specify data as a timetable that uses a regularly spaced time vector. tt contains variables representing input and output channels.

Comma-Separated Matrix Pair

Specify data as a comma-separated pair of real-valued matrices that contain the input and output time-domain signal values (u,y). Specify the input matrix with the dimensions Ns-by-Nu and the output matrix with the dimensions Ns-by-Ny, where Nu is the number of inputs, Ny is the number of outputs, and Ns is the number of samples.

For time-series data, specify [], y.

Data Object

Specify data as an iddata object that contains the input and output data. The data can be in the time domain or the frequency domain. It can be a single-channel or multichannel data, and single-experiment or multiexperiment data.

For time-series data (no inputs), specify data as an iddata object with no inputs.

For more information about working with estimation data types, see Data Domains and Data Types in System Identification Toolbox.

LineSpec — Line style, marker symbol, and color

character vector

Line style, marker symbol, and color, specified as a character vector. LineSpec takes values such as 'b' and 'b+:'. For more information, see the plot reference page in the MATLAB^® documentation. For an example of using LineSpec, see Specify Line Style, Marker Symbol, and Color.

axes_handle — Axes handle

handle

Axes handle, specified as a handle, and which is the reference to an axes object. Use the gca function to get the handle to the current axes, for example, axes_handle = gca. For an example of using axes_handle to apply a specific set of axes to the current plot, see Specify Axes Handle. For an example of using gca to get your plot axes and then modifying the axes properties, see Get and Use Axes Handle.

plotoptions — Plot options

structure

Plot options, specified as an option set created using dataPlotOptions. For an example of using plotoptions, see Specify Plot Options.

Name-Value Arguments

Specify optional pairs of arguments as Name1=Value1,...,NameN=ValueN, where Name is the argument name and Value is the corresponding value. Name-value arguments must appear after other arguments, but the order of the pairs does not matter.

Example: idplot(data,OutputName=["y2" "y4]) specifies y2 and y4 as the output channels in the timetable data. Alternatively, you can use idplot(data,'OutputName',["y2" "y4"]).

InputName — Input channel names

string | character vector | array of strings | cell array of character vectors

Input channel names for timetable data, specified as a string, a character vector, or an array or cell array of strings or character vectors.

Example: idplot(data,'InputName',["u1" "u3"]) specifies u1 and u3 as the input channels in the timetable data.

OutputName — Output channel names

character vector | string | cell array of character vectors or strings

Output channel names for timetable data, specified as a string, a character vector, or an array or cell array of strings or character vectors.

Example: idplot(data,'OutputName',["y2" "y4"]) specifies y2 and y4 as the output channels in the timetable data.

Ts — Sample time

1 (default) | positive scalar

Sample time, specified as the comma-separated pair consisting of 'Ts' and the sample time in the units specified by TimeUnit. When you use matrix-based data (u,y), you must specify Ts if you require a sample time other than the assumed sample time of 1 second.

To obtain the data sample time for a timetable tt, use the timetable property tt.Properties.Timestep.

Example: idplot(umat1,ymat1,___,'Ts',0.08) computes a model with sample time of 0.08 seconds.

TimeUnit — Model time units

'seconds' (default) | 'minutes' | 'milliseconds' | ...

Model time units, specified as one of these values:

• 'nanoseconds'

• 'microseconds'

• 'milliseconds'

• 'seconds'

• 'minutes'

• 'hours'

• 'days'

• 'weeks'

• 'months'

• 'years'

Output Arguments

h — Plot handle

scalar | vector

Plot handle, returned as a scalar or vector. Handles are unique identifiers that you can use to query and modify properties of a specific plot. For an example, see Change Plot Properties Using Handle.

Tips

Right-clicking the plot opens the context menu, where you can access the following options and plot controls.

Option	Description and Suboptions
Datasets	View the datasets used in the plot.
Characteristics	Peak Value — View the peak value of the data. This value is useful for transient data. Mean Value — View the mean value of the data. This value is useful for steady-state data.
Orientation	For data with one input and one output channel: Single row — Plot all inputs and outputs in one row. Single column— Plot all inputs and outputs in one column. For data with more than one input or output channel: Output row and input row — Plot all outputs in one row and all inputs in a second row. Output column and input column — Plot all outputs in one column and all inputs in a second column.
I/O Grouping	Group input and output channels on the plot. Use this option with datasets with more than one input or output channel.
I/O Selector	Select a subset of the input and output channels to plot. By default, all input and output channels are plotted. Use this option with data sets with more than one input or output channel.
Grid	Add grids to your plot.
Normalize	Normalize the y-scale of all data in the plot.
Properties	Open the Property Editor dialog box, where you can customize plot attributes.

Version History

Introduced in R2023a

R2023a: idplot Replaces iddata/plot

idplot expands the functionality of the plot method of iddata to include the plotting of input/output estimation data in the form of timetables and numeric matrices, in addition to iddata objects.

iddata/plot continues to work with iddata objects. Use of iddata/plot is not recommended.