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.
Related
I have generated several plots in MATLAB and I haven't set the ( width or height) to any of them. I save them as pdf to place them in LaTeX but each figure appear with different size. I can change each figure size in LaTeX but I wonder if there is an easy way in MATLAB to get same size for all figures.
Can I reset the figure size after generating in MATLAB or I have to regenerate each figure with specific size?
What is the best way to export figures in MATLAB to use them in LaTeX?
Exporting figures from MATLAB to LaTeX is best done via .eps or directly to PDF. MATLAB's saveas() functionality supports both. The benefit of these file-types is that thy are vector files, meaning, loosely, that coordinates of corners in the lines are saved, as opposed to a bunch of fixed pixels such as with PNG or JPG figures. Using then these figures in LaTeX gives infinite scalability (theoretically, usefulness of highly-zoomed figures may vary).
If you need different aspect ratios, i.e. one figure taller than broad, the other broader than tall, You'd have to set the proper aspect ratio for each figure independently, then save using one of the aforementioned vector file types.
One of the best ways to export pretty figures is the export_fig() functionality written by Oliver Woodford and currently maintained by Yair Altman and freely available on the FileExchange.
Answering your first question: yes you can resize figures after generating them. Either by hand (change the window size), or programatically: you can make a figure handle (h=figure();, where h is your handle), which has several options to control figure size; h.position being the most prominent: [upper-left, lower-left, upper-right, lower-right] being its content in terms of corner coordinates. Changing those changes the figure size.
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 am using Rickshaw (based on d3.js) to plot stacked bar charts. The problem is that the first bar is usually way more higher than the others, ruining the visual feedback.
Using logarithmic scale is (I guess) not an option here, because then the proportions between stacks in a bar will get broken. I wanted to introduce a horizontal break like in following image:
However, I cannot find any out-of-the box feature of Rickshaw or d3.js to do something like this. Any suggestions on how to make one?
This would require quite a bit of additional work. Here's an outline of what you would have to do.
Create two scales, one for the lower part and one for the upper. Set domains and ranges accordingly.
Pass values to the lower scale, capping them at the maximum domain value such that bars that are longer will reach the maximum.
Pass values to the upper scale, filtering those that are lower than the minimum.
You basically need to create two graphs that are aligned with each other to give the impression that there's just one. If you keep that in mind, doing it shouldn't be too difficult.
Here's a quick and dirty proof of concept that uses the linear scale's .clamp(true) to prevent the bars from becoming too long for values outside the domain.
The d3fc-discontinuous-scale component adapts any other scale (for example a d3 linear scale) and adding the concept of discontinuities. These discontinuities are determined via a 'discontinuity provider', which can be used to create one or more 'gaps' in a scale.
For example, to remove a range, you can construct a scale as follows:
var scale = scaleDiscontinuous(scaleLinear())
.discontinuityProvider(discontinuityRange([50, 75]))
Here is a complete example that shows how to use this to create a 'break' in a scale in order to render values that have large gaps in their overall range.
https://bl.ocks.org/ColinEberhardt/b60919a17c0b14d745c881f48effe681
I have drown several graphs thanks to "subplot" function on MatLab and it works well.
Nevertheless, I want all my graphs to have the same Y-scale so that I can compare them.
I used the "linkaxes" function and my all my graphs have the same scale but the problem is that some of my figures are "beheaded", lacking their upper part, or one of my figures is completely squeezed.
I don't get what happened. Could you please help me to solve the problem or tell me about another function that would be more appropriate in my case?
Here's part of my code:
for i=1:1:9
m=n(i);
fichier=sprintf('%d.txt',m);
M=load(fichier);
z=length(M(:,1));
x=M(1:z,1);
y=M(1:z,2);
a(i)=subplot(2,4,i)
contour3=plot(x,y)
linkaxes(a,'y')
end
linkaxes creates a permanent link between the scales of several axes, so that you can subsequently perform zoom operations (perhaps interactively) on one, and have the other automatically update.
If you need that functionality, then linkaxes is the right command (although you could possibly also look at linkprops).
However if all you need is to ensure that the y-axis limits of your axes are the same, it will probably be easier (and you will have more control) if you set them directly. You can retrieve the y-axis limits using ylim(axis_handle) and set them using ylim(axis_handle, [lower, upper]), or alternatively with get(axis_handle,'YLim') and set(axis_handle,'YLim',[lower,upper]). You might also look at the YLimMode property of the axis, which determines whether the axis limits are directly set or automatically resized.
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.