Well, there are a few ways how multiple data series can be displayed in the same figure. I will use a little example data set, together with corresponding colors: %% Data t = 0:100; f1 = 0.3; f2 = 0.07; u1 = sin(f1*t); cu1 = ‘r’; %red u2 = cos(f2*t); cu2 = ‘b’; %blue v1 … Read more
This worked for me: figure(‘units’,’normalized’,’outerposition’,[0 0 1 1]) or for current figure: set(gcf,’units’,’normalized’,’outerposition’,[0 0 1 1]) I have also used MAXIMIZE function on FileExchange that uses java. This is true maximization.
It seems like it might be the best to use datetick. Usage: datetick(‘x’) or datetick(‘x’, dateformat) with the available formats as explained in the documentation.
I think all that you’re missing is a call to caxis to specify the minimum and maximum values to map the color range to: caxis([18 23]); Note that the following line… cb.Limits = [18 23]; … only changes the tick limits displayed on the colorbar, but doesn’t change anything about how the data is mapped … Read more
There are a few ways to do this. One way to do this is to get all the children of the root object (represented in prior versions by the handle 0): figHandles = get(groot, ‘Children’); % Since version R2014b figHandles = get(0, ‘Children’); % Earlier versions Or you could use the function findobj: figHandles = … Read more
In the old graphics system (R2014a and earlier) this is not possible using the built-in quiver object. You can easily get all of the plot objects that are used to compose the quiver plot q = quiver(1:5, 1:5, 1:5, 1:5); handles = findall(q, ‘type’, ‘line’); But the tails are all represented by one plot object, … Read more
The properties that can be set for a figure is referenced here. You could then use: figure_number = 1; x = 0; % Screen position y = 0; % Screen position width = 600; % Width of figure height = 400; % Height of figure (by default in pixels) figure(figure_number, ‘Position’, [x y width height]);
You can also do it with a trick which works with Matlab version anterior to 2014b (as far back as 2009a at least). However, is will never be as simple as you expected (unless you write a wrapper for one of the solution here you can forget about plot(x,y,{‘r’,’o’,’y’,’g’,’b’})). The trick is to use a … Read more
Here a step by step explanation. First consider the following example: [X,Y,Z1] = peaks; figure(1) [~,h1] = contourf(X,Y,Z1,20); a1 = colorbar; colormap(jet) caxis([-6,6]) which will give you the following plot: It has linear data and a linear colormap. Now I want to scale the Z-Data to get it non-linear like in your case. I chose … Read more
You could abuse quiver, this way you don’t have to deal with unhandy normalized figure units by use of annotation drawArrow = @(x,y) quiver( x(1),y(1),x(2)-x(1),y(2)-y(1),0 ) x1 = [10 30]; y1 = [10 30]; drawArrow(x1,y1); hold on x2 = [25 15]; y2 = [15 25]; drawArrow(x2,y2) Important is the 5th argument of quiver: 0 which … Read more