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FIG files format

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A short while ago, a StackOverflow user asked how to extract data from FIG files in Matlab. The answer to this question is easy, but I wish to use the opportunity to show how this can be useful in Matlab applications.

The need: load a FIG without displaying it

In data-processing applications, we often present data in graphs that can then be manipulated and saved for later use. In Matlab, saving is done interactively (via the figure’s File/Save menu option or via the figure’s Save toolbar button), or programmatically (via the hgsave function). In all cases, the data is stored in a *.FIG file (the FIG extension can actually be changed, but I really don’t see why).

The point is that in order to re-load the stored data, we need to use hgload, which has a nasty side-effect of actually displaying the stored figure.

This is bad in terms of performance and memory, especially for heavily-laden GUI figures, not to mention the fact that sometimes we do not want to display the GUI at all. We often just need to extract a sub-set of the stored information (for example, the plot values), without having to display the figure.

The answer: FIGs are simply MATs in disguise

Here’s where the undocumented stuff enters:

It seems that a FIG file is simply a hierarchical structure of all the non-default properties of the stored figure and its descendant handles, all this stored within a simple MAT file.

This is hinted in several places, for example in hgsave‘s doc page, and in the MAT-file preferences panel:

MAT-file preferences (note the FIG clarification)

MAT-file preferences (note the FIG clarification)

Knowing this, we can easily load the data, without displaying the figure, by using load(filename,’-mat’) rather than hgload. For example:

% Create and store a simple plot figure
>> figure('Name','Test #1');
>> plot(1:9, sqrt(1:9));
>> hgsave(gcf,'testFig');
 
% Load the figure data
>> d = load('testFig.fig','-mat')
d = 
    hgS_070000: [1x1 struct]   % a Matlab 7 figure
 
% Investigate the figure data
>> d.hgS_070000
ans = 
          type: 'figure'
        handle: 1
    properties: [1x1 struct]
      children: [1x1 struct]
       special: []
 
>> d.hgS_070000.children
ans = 
          type: 'axes'
        handle: 176.08251953125
    properties: [1x1 struct]
      children: [1x1 struct]
       special: [4x1 double]
 
>> d.hgS_070000.children.children
ans = 
          type: 'graph2d.lineseries'
        handle: 177.0830078125
    properties: [1x1 struct]
      children: []
       special: []
 
>> d.hgS_070000.children.children.properties
ans = 
              Color: [0 0 1]
              XData: [1 2 3 4 5 6 7 8 9]
              YData: [1 1.4142 1.7321 2 2.2361 2.4495 2.6458 2.8284 3]
    ApplicationData: [1x1 struct]
        XDataJitter: 0
          XDataMode: 'manual'
      ObeyXDataMode: 'auto'
                ...
 
% Extract plot data
>> YData = d.hgS_070000.children.children.properties.YData
YData =
  1.0000  1.4142  1.7321  2.0000  2.2361  2.4495  2.6458  2.8284  3.0000

We see a couple of interesting things in this simple example:

First, note that the top-level structure node is called “hgS_070000″ – we’ll dig into this next week. Basically, it indicates that the structure holds a Matlab 7 figure.

Secondly, we see hidden/undocumented properties of the stored objects (for example, the lineseries’ XDataJitter and ObeyXDataMode properties). ApplicationData is such a hidden handle, which is widely used as a substitute for any handle’s UserData property (the built-in setappdata and getappdata functions are simply wrappers for accessing this property using standard set and get functions).

Have you used the FIG/MAT feature for any useful functionality? If so, please do share your experience in a comment.

Next week, I will explain how looking under hgsave‘s hood leads to useful functions and to an interesting insight about Matlab’s future. Merry Christmas everybody!

 
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