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Undocumented view transformation matrix

Everyone knows Matlab’s view function, right? You know, the function that can set a 3D plot to the proper orientation angles and/or return the current plot’s azimuth/elevation angles. I’ve used it numerous times myself in the past two decades. It’s one of Matlab’s earliest functions, dating back to at least 1984. Still, as often as I’ve used it, it was not until I came across Bruce Elliott’s post on CSSM last week that I realized that this seamingly-innocent stock Matlab function holds a few interesting secrets.

view()’s transformation matrix output

First, while view‘s 2-output syntax ([az,el]=view()) is well known and documented, there is also a single-output syntax (T=view()) that is neither. To be exact, this syntax is not mentioned in the official documentation pages, but it does appear in the help section of view.m, which is viewable (no pun intended…) if you type the following in your Matlab console (R2014a or earlier, note the highlighted lines):
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Categories: Handle graphics, Hidden property, Medium risk of breaking in future versions, Stock Matlab function, Undocumented feature
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Handle object as default class property value

We all know the benefits of setting default class-property values: it saves coding, increases class readability, improves maintainability and reduces the potential for coding bugs due to uninitialized properties. Basically, we’re setting default values of the class properties, so that whenever a new instance of this class is created, it will be recreated with these same default property values. This is the behavior in any self-respecting OOP language, and is a well-entrenched paradigm in OOP computing. Simple enough, right?

Well, unfortunately it doesn’t behave quite this way in Matlab…
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Categories: Low risk of breaking in future versions, Stock Matlab function
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Plot legend title

This blog post was supposed to be a piece of cake: The problem description was that we wish to display a text title next to the legend box in plot axes. Sounds simple enough. After all, in HG1 (R2014a and earlier), a legend was a simple wrapper around a standard Matlab axes. Therefore, we can simply access the legend axes’s title handle, and modify its properties. This works very well in HG1:

hold all; 
hLine1 = plot(1:5); 
hLine2 = plot(2:6); 
hLegend = legend([hLine1,hLine2], 'Location','NorthWest');
hTitle = get(hLegend,'title');
set(hTitle, 'String','Plot types:', 'VerticalAlignment','middle', 'FontSize',8);

Matlab HG1 legend with title

Matlab HG1 legend with title


How hard then could a corresponding solution be in HG2 (R2014b+), right?

Well, it turns out that hard enough (at least for me)…
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Carlos David Peña liked this post
Categories: Handle graphics, Low risk of breaking in future versions, Stock Matlab function, Undocumented feature
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Using Infiniband with Matlab Parallel Computing Toolbox

I would like to welcome guest blogger Brock Palen, who is the Associate Director for Advanced Research Computing at the University of Michigan. Brock worked in High Performance computing since 2004 and is also one half of the Research Computing podcast; Research Computing and Engineering. You can find him blogging at failureasaservice.com. This is an updated repost of Brock’s article on UMich’s Flux HPC blog. Additional information on the Parallel Computing Toolbox can be found in my book Accelerating MATLAB Performance.

In High Performance Computing (HPC) there are a number of network types commonly used, among these are: Ethernet, the common network found on all computer equipment. Infiniband, a specialty high performance low latency interconnect common on commodity clusters. There are also several propriety types and a few other less common types but I will focus on Ethernet and Infiniband.

Ethernet and really its mate protocol, TCP, are the most common supported MPI networks. Almost all computer platforms support this network type and can be as simple as using your home network switch. It is ubiquitous and easy to support. Networks like Infiniband though require special drivers, uncommon hardware but the effort is normally worth it.

The MATLAB Parallel Computing Toolbox provides a collection of functions that allow MATLAB users to utilize multiple compute nodes to work on larger problems. Many may not realize that MathWorks chose to use the standard MPI routines to implement this toolbox. MathWorks also chose, for ease of use, to ship MATLAB with the MPICH2 MPI library, and the version they use only supports Ethernet for communication between nodes.

Unfortunately, Ethernet is about the slowest common network used in parallel applications. The question is how much can this impact performance.

Mmmmm Data:

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Categories: Low risk of breaking in future versions, Stock Matlab function, Undocumented feature
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Frameless (undecorated) figure windows

All Matlab figures have a standard frame around them, consisting of a border and title bar. In some cases it could be useful to present a figure window, displaying only the contents without the border and title bar. Such a borderless (undecorated) window is not possible in Matlab. Well, at least not in supported/documented Matlab…

Readers of this blog and/or my Matlab-Java programming book are aware that Matlab’s GUI is based on Java Swing. In the end, every Matlab figure window is a simple Java JFrame, and JFrames have a setUndecorated(true) method that can be called to remove the border and title bar.

An undecorated Matlab figure window
An undecorated Matlab figure window

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Categories: Figure window, GUI, High risk of breaking in future versions, Java, Undocumented feature
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Transparent legend

I’ve been working lately on Matlab program for a client, which attempts to mimic the appearance and behavior of MetaTrader charts, which are extensively used by traders to visualize financial timeseries and analysis indicators.

Such charts are often heavily laden with information, and a legend can be handy to understand the meaning of the various plot lines. Unfortunately, in such heavily-laden charts the legend box typically overlaps the data. We can of course move the legend box around (programmatically or by interactive dragging). But in such cases it might be more useful to have the legend background become semi- or fully-transparent, such that the underlying plot lines would appear beneath the legend:

Matlab chart with a semi-transparent legend (click for details)
Matlab chart with a semi-transparent legend (click for details)

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Categories: Handle graphics, Medium risk of breaking in future versions, Stock Matlab function, Undocumented feature
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Customizing Matlab uipanels

The major innovation in Matlab release R2014b was the introduction of the new handle-based graphics system (HG2). However, this release also included a few other improvements to graphics/GUI that should not be overlooked. The most notable is that uitabs are finally officially documented/supported, following a decade or being undocumented (well, undocumented in the official sense, since I took the time to document this functionality in this blog and in my Matlab-Java book).

A less-visible improvement occurred with uipanels: Panels are very important containers when designing GUIs. They enable a visual grouping of related controls and introduce order to an otherwise complex GUI. Unfortunately, until R2014b panels were drawn at the canvas level, and did not use a standard Java Swing controls like other uicontrols. This made it impossible to customize uipanels in a similar manner to other GUI uicontrols (example).

In R2014b, uipanels have finally become standard Java Swing controls, a com.mathworks.hg.peer.ui.UIPanelPeer$UIPanelJPanel component that extends Swing’s standard javax.swing.JPanel and Matlab’s ubiquitous com.mathworks.mwswing.MJPanel. This means that we can finally customize it in various ways that are not available in plain Matlab.

We start the discussion with a simple Matlab code snippet. It is deliberately simple, since I wish to demonstrate only the panel aspects:

figure('Menubar','none', 'Color','w');
hPanel = uipanel('Title','Panel title', 'Units','norm', 'Pos',[.1,.1,.6,.7]);
hButton = uicontrol('String','Click!', 'Parent',hPanel);

Standard Matlab uipanel

Standard Matlab uipanel

Notice the default ‘etchedin’ panel border, which I hate (note the broken edges at the corners). Luckily, Swing includes a wide range of alternative borders that we can use. I’ve already demonstrated customizing Matlab uicontrols with Java borders back in 2010 (has it really been that long? wow!). In R2014b we can finally do something similar to uipanels:
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Categories: GUI, Hidden property, Java, Medium risk of breaking in future versions, Stock Matlab function, UI controls
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Simulink Data Dictionary

Once again I wish to welcome guest blogger Donn Shull. Donn has previously written a series of articles on Matlab’s previous-generation class-object system (UDD). Today Donn explores a little-known yet quite useful aspect of Simulink.


In 2014, MathWorks introduced the Simulink Data Dictionary. This new feature provides the ability to store Data Types, Parameters, and Signals in database files. This is great news for embedded systems developers who want the flexibility of using data objects and want to avoid using the base workspace with its potential for data corruption.

In its initial implementation, the data dictionary interface is provided by the Simulink Model Explorer. The GUI interface is clean, intuitive, and easy to use. This interface supports importing and exporting dictionaries to m files and mat files.

Unfortunately, in production code generation environments there is frequently a need to interface this data with external tools such as software specification systems, documentation generators, and calibration tools. MathWorks have not published an API for accessing dictionaries from code, indicating that it may possibly be available in a future release. Today, we will look at some portions of the undocumented API for Simulink Data Dictionaries.

Simulink F14 model using data dictionary

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Categories: Guest bloggers, Medium risk of breaking in future versions, Stock Matlab function, Undocumented feature
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Accessing hidden HG2 plot functionality

I received two separate reader queries in the past 24 hours, asking how to access certain functionalities in HG2 (R2014b)’s new graphics system. These functionalities were previously accessible in HG1 (R2014a and earlier), but stopped being [readily] accessible in HG2. The functionalities have not disappeared, they have merely changed the way in which they can be accessed. Moreover, with the new graphics system they were even expanded in terms of their customizability.

In both cases, the general way in which I approached the problem was the same, and I think this could be used in other cases where you might need some HG1 functionality which you cannot find how to access in HG2. So try to read today’s article not as a specific fix to these two specific issues, but rather as a “how-to” guide to access seemingly inaccessible HG2 features.

Accessing contour fills

Contour fills were implemented in HG1 as separate HG objects that could be accessed using findall or allchild. This could be used to set various properties of the fills, such as transparency. This broke in HG2 as reported by reader Leslie: the contours are no longer regular HG children. No complaints there – after all, it was based on undocumented internal features of the data-brushing functionality.

It turns out that the solution for HG2 is not difficult, using the contour handle’s hidden FacePrims property:

[~, hContour] = contourf(peaks(20), 10);
drawnow;  % this is important, to ensure that FacePrims is ready in the next line!
hFills = hContour.FacePrims;  % array of matlab.graphics.primitive.world.TriangleStrip objects
for idx = 1 : numel(hFills)
   hFills(idx).ColorType = 'truecoloralpha';   % default = 'truecolor'
   hFills(idx).ColorData(4) = 150;   % default=255

Contour plot in HG2, with and without transparency

Contour plot in HG2, with and without transparency

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Categories: Handle graphics, Medium risk of breaking in future versions, Stock Matlab function, Undocumented feature
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Matlab compiler bug and workaround

I recently consulted at a client who uses R2010a and compiles his code for distribution. Debugging compiled code is often tricky, since we do not have the Matlab desktop to help us debug stuff (well, actually we do have access to a scaled-down desktop for minimal debugging using some undocumented internal hooks, but that’s a topic for a separate article). In my client’s case, I needed to debug a run-time error that threw an exception to the console:

Error using strtrim
Input should be a string or a cell array of strings.
Error in updateGUI (line 121)

Sounds simple enough to debug right? Just go to updateGUI.m line #121 and fix the call to strtrim(), correct?

Well, not so fast… It turns out that updateGUI.m line #121 is an empty line surrounded on either side by one-line comments. This is certainly not the line that caused the error. The actual call to strtrim() only occurs in line #147!

What’s going on?

The answer is that the Matlab compiler has a bug with comment blocks – lines surrounded by %{ and %}:

15   %{
16       This is a comment block that is
17       ignored by the Matlab engine,
18       and causes a line-numbering
19       error in the Matlab compiler!
20   %}
22   a = strtrim(3.1416);  % this generates an error

In the example above, the 6-line comment block is ignored as expected by the Matlab engine in both interactive and compiled modes. However, whereas in interactive mode the error is correctly reported for line #22, in compiled mode it is reported for line #17. Apparently the compiler replaces any block comment with a single comment line before parsing the m-file.
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Categories: Low risk of breaking in future versions, Stock Matlab function, Toolbox, Undocumented feature
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