matlab-figure

I need to make a .fig file that can be reopened in Matlab, but I am working in Octave. But apparently there is no saveas command in Octave. This is what I am trying: octave:3> plot([1,2,3],[45,23,10]) octave:4> saveas(gcf,'myfig.fig') error: `saveas' undefined near line 4 column 1 octave:4> Currently the Matlab fig file format is a proprietary binary file format. Octave doesn't know how to export to this format and won't be able to until it is reverse engineered. The fig format that Octave knows about is a different fig format used by Xfig with the same extension name, but nothing else in

I'm trying to visualize a soft clustering. There are a number of points and a small number of clusters, each point belongs to each cluster with some probability. Currently, I'm overlaying a scatterplot for each cluster, with the size of 'o' markers varying by the probability. This allows easy identification of the most probable cluster, but not much beyond that. I'd like to draw a scatterplot of pie charts, i.e. one small pie chart for each of the many data points, showing these probabilities. Is that possible in Matlab? I haven't found a way to draw pies as markers or place multiple pie

I am using matlab to plot three data series. e.g. 0.4545 0.7676 10 0.3232 0.5432 20 Lets say this is a 100 x 3 matrix. (Lets call it A, also it is sorted according to A(:,1) )The third column is an additional number which ranges from 1 to 100. I am using MATLAB to do the following: plot (A(:,1)); hold on; plot (A(:,2)); I am using the property editor to represent data-series A(:,1) in line format and A(:,2) with additional marker [square i.e --rs option in plot]. My question is, how do I fill the squares according to data in the 3rd column ? Basically how do i go about color coding the 2nd

I'm clueless when it comes to which renderer to use for MATLAB figures or when it matters, but I have come across certain examples where it does matter: plot(0,0,'ko','markersize',50,'linewidth',8); set(gcf,'renderer','opengl'); set(gcf,'renderer','painters'); Left=OpenGL, Right=Painters: (running Windows 7 Professional and MATLAB R2015b) Are there times when using the OpenGL renderer produces better results than Painters? In general how do the two renderers differ? These are the differences I know of OpenGL is the default renderer OpenGL allows to plot transparency and Painter does not If

I'm trying to position MATLAB's ticks to line up with my grid, but I can't find a good way to offset the labels. Also, if I run set(gca,'XTickLabel',1:10) , my x tick labels end up ranging from 1 to 5. What gives? You need to move the ticks, but get the labels before and write them back after moving: f = figure(1) X = randi(10,10,10); surf(X) view(0,90) ax = gca; XTick = get(ax, 'XTick') XTickLabel = get(ax, 'XTickLabel') set(ax,'XTick',XTick+0.5) set(ax,'XTickLabel',XTickLabel) YTick = get(ax, 'YTick') YTickLabel = get(ax, 'YTickLabel') set(ax,'YTick',YTick+0.5) set(ax,'YTickLabel',YTickLabel

Often in Matlab we would plot a figure with many subplot axes, but they are all tiny. In the prevalent UX paradigm, you would expect to be able to double-click such a small plot to have a closer look using the entire screen space. Typically this is the reason I avoid using subplot , but plot many individual figures instead — so I can move them around on the screen and double-click on their titlebars which (on Windows) maximises the figure to full screen. (Double-click again, and it returns to its normal size.) However, the advantage of subplot is that the set of plots is grouped in one panel.

I have saved different Matlab plots in an unique .fig. The figure is like this: Now, I would like to introduce a filter in these plots to reduce the noises, but unfortunately I have lost the code that generates these signals. Is there a way to extract data of each signal in this figure? I tried this: open('ttc_delay1000.fig'); h = gcf; %current figure handle axesObjs = get(h, 'Children'); %axes handles dataObjs = get(axesObjs, 'Children'); %handles to low-level graphics objects in axes objTypes = get(dataObjs, 'Type'); %type of low-level graphics object xdata = get(dataObjs, 'XData'); %data