I'm working on generating some figures for a paper from a simulink model, and would prefer to use minimal work to produce them so I'm trying to configure a simulink scope to output the figures I want on its own. The problem is, while I can get colors and such all arranged well, I can't seem to figure out how to modify the spacing between the graphs in a scope showing multiple signals. What I have now looks like the below:
Notice how the two plots have different vertical scales (probably a consequence of having the time scale only on the bottom one), and that there's a large gap of unused space between the plots. This is a concern when trying to publish in a journal, since page space is at a premium and we need to make the information as dense as possible.
So, how can I tweak these margins and formatting? I've tried looking at all the settings I can find, but none seem to affect these parameters.
I am trying to get better quality phase plots of complex functions made with the Complex Function Explorer of E. Wegert CFE. For this purpose I apply the Matlab anti-aliasing function myaa.m to the phase plots that are made with the CFEGUI.m. For the example screenshot of the result window below I used the setting myaa([8 8]) in the Matlab command window which means that the supersampling enlarge the figure 8x and then downscale it to 1/8 to get the original h x w.
As one can see the window of the figure has no operation icons or menu options for save or print. My question is what to do with such a figure (beside making screenshots)? Can I somehow use export-fig to save such a figure or load it in an image array and if yes, how?
It is also possible to use the setting myaa([8 1]) which results in a very large figure window that is larger than my screen (and has the unpleasant attribute that it can not be moved). It would be even better if such a whole figure could be saved (not only the visible part).
You can use getframe to grab current figure information in pixels.
However, while I do not know how this affects you, notice that MATLAB versions above 2014b (included) have already anti-aliasing. The code you linked seem to be from 2008, I am not 100% sure if it has become obsolete now.
I have a line which is plotted on another scatter plot. This line changes its shape from time to time. Is there any way by which I can specify in my program that the data for drawing this line is dynamic so that the plot updates by itself when the data changes?
Now what I am doing is draw the entire figure again after each data update. The program has very large number of iterations(>5000) and I need to visualize every change. That means figure should be drawn 5000 times. This is making my program very slow. Is there any other better way of doing this?
The refreshdata function might do what you want.
To automatically update a graph when a source variable changes, use the linkdata function. MathWorks has a is a great introduction page. However, there is a short example in the documentation:
x = [1:20];
y = rand(20,3);
area(x,y)
linkdata on
Then you can change a variable and the plot automatically redraws:
y(10,:) = 0;
Automatic update.
Note: Changing the source to a different variable entirely is a different thing. If YDataSource is reassigned, then refreshdata would be needed, as pointed out by Molly. Otherwise, this will keep your plot up-to-date when the variable changes.
One caveat is described on this page:
linkdata buffers updates to data and dispatches them to plots at roughly half-second intervals. This makes data linking not suitable for smoothly animating changes in data values unless they are updated in loops that are forced to execute two times per second or less.
I have 42 variables and I have calculated the correlation matrix for them in Matlab. Now I would like to visualize it with a schemaball. Does anyone have any suggestions / experiences how this could be done in Matlab? The following pictures will explain my point better:
In the pictures each parabola between variables would mean the strength of correlation between them. The thicker the line is, the more correlation. I prefer the style of picture 1 more than the style in picture 2 where I have used different colors to highlight the strength of correlation.
Kinda finished I guess.. code can be found here at github.
Documentation is included in the file.
The yellow/magenta color (for positive/negative correlation) is configurable, as well as the fontsize of the labels and the angles at which the labels are plotted, so you can get fancy if you want and not distribute them evenly along the perimeter/group some/...
If you want to actually print these graphs or use them outside matlab, I suggest using vector formats (eg eps). It's also annoying that the text resizes when you zoom in/out, but I don't know of any way to fix that without hacking the zoom function :/
schemaball % demo
schemaball(arrayfun(#num2str,1:10,'uni',false), rand(10).^8,11,[0.1587 0.8750],[0.8333 1],2*pi*sin(linspace(0,pi/2-pi/20,10)))
schemaball(arrayfun(#num2str,1:50,'uni',false), rand(50).^50,9)
I finished and submitted my version to the FEX: schemaball and will update the link asap.
There are a some differences with Gunther Struyf's contribution:
You can return the handles to the graphic object for full manual customization
Labels are oriented to allow maximum left-to-rigth readability
The figure stretches to fit labels in, leaving the axes unchanged
Syntax requires only correlations matrix (but allows optional inputs)
Optimized for performance.
Follow examples of demo, custom labels and creative customization.
Note: the first figure was exported with saveas(), all others with export_fig.
schemaball
x = rand(10).^3;
x(:,3) = 1.3*mean(x,2);
schemaball(x, {'Hi','how','is','your','day?', 'Do','you','like','schemaballs?','NO!!'})
h = schemaball;
set(h.l(~isnan(h.l)), 'LineWidth',1.2)
set(h.s, 'MarkerEdgeColor','red','LineWidth',2,'SizeData',100)
set(h.t, 'EdgeColor','white','LineWidth',1)
The default colormap:
To improve on screen rendering you can launch MATLAB with the experimental -hgVersion 2 switch which produces anti/aliased graphics by default now (source: HG2 update | Undocumented Matlab). However, if you try to save the figure, the file will have the usual old anti-aliased rendering, so here's a printscreen image of Gunther's schemaball:
Important update:
You can do this in Matlab now with the FileExchange submission:
http://www.mathworks.com/matlabcentral/fileexchange/48576-circulargraph
There is an exmample by Matlab in here:
http://uk.mathworks.com/examples/matlab/3859-circular-graph-examples
Which gives this kind of beautiful plots:
Coincidentally, Cleve Moler (MathWorks Chief Mathematician) showed an example of just this sort of plot on his most recent blog post (not nearly as beautiful as the ones in your example, and the connecting lines are straight rather than parabolic, but it looks functional). Unfortunately he didn't include the code directly, but if you leave him a comment on the post he's usually very willing to share things.
What might be even nicer for you is that he also applies (and this time includes) code to permute the rows/columns of the array in order to maximize the spatial proximity of highly connected nodes, rather than randomly ordering them around the circumference. You end up with a 'crescent'-shaped envelope of connecting lines, with the thick bit of the crescent representing the most highly connected nodes.
Unfortunately however, I suspect that if you need to enhance his code to get the very narrow, high-resolution lines in your example plots, then MATLAB's currently non-anti-aliased graphics aren't quite up to it yet.
I've recently been experimenting with MATLAB data and the D3 visualization library for similar graphs - there are several related types of circular visualizations you may be interested in and many of them are interactive. Another helpful, well-baked, and freely available option is Circos which is probably responsible for most of the prettier versions of these graphs you've seen in popular press.
In Matlab, I would like to update the data plotted in a set of axes when the user zooms into the plot window. For example, suppose I want to plot a particular function that is defined analytically. I would like to update the plot window with additional data when the user zooms into the traces, so that they can examine the function with arbitrary resolution.
Does Matlab provide hooks to update the data when the view changes? (Or simply when it is redrawn?)
While I have yet to find one generic "redraw" callback to solve this question, I have managed to cobble together a group of four callbacks* that seem to achieve this goal in (almost?) all situations. For a given axes object ax = gca(),
1. Setup the zoom callback function as directed by #Jonas:
set(zoom(ax),'ActionPostCallback',#(x,y) myCallbackFcn(ax));
2. Setup a pan callback function:
set(pan(ax),'ActionPostCallback',#(x,y) myCallbackFcn(ax));
3. Setup a figure resize callback function:
set(getParentFigure(ax),'ResizeFcn',#(x,y) myCallbackFcn(ax));
4. Edit: this one no longer works in R2014b, but is only needed if you add, e.g., a colorbar to the figure (which changes the axis position without changing the figure size or axis zoom/pan). I've not looked for a replacement. Finally, setup an undocumented property listener for the axes position property itself. There is one important trick here: We must hold onto the handle to the handle.listener object as once it's deleted (or leaves scope), it removes the callback. The UserData property of the axes object itself is a nice place to stash it in many cases.
hax = handle(ax);
hprop = findprop(hax,'Position');
h = handle.listener(hax,hprop,'PropertyPostSet',#(x,y) myCallbackFcn(ax));
set(ax,'UserData',h);
In all these cases I've chosen to discard the default callback event arguments and instead capture the axis in question within an anonymous function. I've found this to be much more useful than trying to cope with all the different forms of arguments that propagate through these disparate callback scenarios.
*Also, with so many different callback sources flying around, I find it invaluable to have a recursion check at the beginning of myCallbackFcn to ensure that I don't end up in an infinite loop.
Yes, it does. The ZOOM mode object has the following callbacks:
ButtonDownFilter
ActionPreCallback
ActionPostCallback
The latter two are executed either just before or just after the zoom function. You could set your update function in ActionPostCallback, where you'd update the plot according to the new axes limits (the handle to the axes is passed as the second input argument to the callback).