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Starting in MATLAB R2022a, use the append option in exportgraphics to create GIF files from animated axes, figures, or other visualizations.
This basic template contains just two steps:
% 1. Create the initial image file gifFile = 'myAnimation.gif'; exportgraphics(obj, gifFile);
% 2. Within a loop, append the gif image for i = 1:20
% % % % % % % % Update the figure/axes % % % % % % % %
exportgraphics(obj, gifFile, Append=true); end
Note, exportgraphics will not capture UI components such as buttons and knobs and requires constant axis limits.
To create animations of images or more elaborate graphics, learn how to use imwrite to create animated GIFs .
Share your MATLAB animated GIFs in the comments below!
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You've spent hours designing the perfect figure and now it's time to add it to a presentation or publication but the font sizes in the figure are too small to see for the people in the back of the room or too large for the figure space in the publication. You've got titles, subtitles, axis labels, legends, text objects, and other labels but their handles are inaccessible or scattered between several blocks of code. Making your figure readable no longer requires digging through your code and setting each text object's font size manually.
Starting in MATLAB R2022a, you have full control over a figure's font sizes and font units using the new fontsize function (see release notes ).
Use fontsize() to
- Set FontSize and FontUnits properties for all text within specified graphics objects
- Incrementally increase or decrease font sizes
- Specify a scaling factor to maintain relative font sizes
- Reset font sizes and font units to their default values . Note that the default font size and units may not be the same as the font sizes/units set directly with your code.
When specifying an object handle or an array of object handles, fontsize affects the font sizes and font units of text within all nested objects.
While you're at it, also check out the new fontname function that allows you to change the font name of objects in a figure!
Give the new fontsize function a test drive using the following demo figure in MATLAB R2022a or later and try the following commands:
% Increase all font sizes within the figure by a factor of 1.5 fontsize(fig, scale=1.5)
% Set all font sizes in the uipanel to 16 fontsize(uip, 16, "pixels")
% Incrementally increase the font sizes of the left two axes (x1.1) % and incrementally decrease the font size of the legend (x0.9) fontsize([ax1, ax2], "increase") fontsize(leg, "decrease")
% Reset the font sizes within the entire figure to default values fontsize(fig, "default")
% Create fake behavioral data rng('default') fy = @(a,x)a*exp(-(((x-8).^2)/(2*3.^2))); x = 1 : 0.5 : 20; y = fy(32,x); ynoise = y+8*rand(size(y))-4; selectedTrial = 13;
% Plot behavioral data fig = figure('Units','normalized','Position',[0.1, 0.1, 0.4, 0.5]); movegui(fig, 'center') tcl = tiledlayout(fig,2,2); ax1 = nexttile(tcl); hold(ax1,'on') h1 = plot(ax1, x, ynoise, 'bo', 'DisplayName', 'Response'); h2 = plot(ax1, x, y, 'r-', 'DisplayName', 'Expected'); grid(ax1, 'on') title(ax1, 'Behavioral Results') subtitle(ax1, sprintf('Trial %d', selectedTrial)) xlabel(ax1, 'Time (seconds)','Interpreter','Latex') ylabel(ax1, 'Responds ($\frac{deg}{sec}$)','Interpreter','Latex') leg = legend([h1,h2]);
% Plot behavioral error ax2 = nexttile(tcl,3); behavioralError = ynoise-y; stem(ax2, x, behavioralError) yline(ax2, mean(behavioralError), 'r--', 'Mean', ... 'LabelVerticalAlignment','bottom') grid(ax2, 'on') title(ax2, 'Behavioral Error') subtitle(ax2, ax1.Subtitle.String) xlabel(ax2, ax1.XLabel.String,'Interpreter','Latex') ylabel(ax2, 'Response - Expected ($\frac{deg}{sec}$)','Interpreter','Latex')
% Simulate spike train data ntrials = 25; nSamplesPerSecond = 3; nSeconds = max(x) - min(x); nSamples = ceil(nSeconds*nSamplesPerSecond); xTime = linspace(min(x),max(x), nSamples); spiketrain = round(fy(1, xTime)+(rand(ntrials,nSamples)-.5)); [trial, sample] = find(spiketrain); time = xTime(sample);
% Spike raster plot axTemp = nexttile(tcl, 2, [2,1]); uip = uipanel(fig, 'Units', axTemp.Units, ... 'Position', axTemp.Position, ... 'Title', 'Neural activity', ... 'BackgroundColor', 'W'); delete(axTemp) tcl2 = tiledlayout(uip, 3, 1); pax1 = nexttile(tcl2); plot(pax1, time, trial, 'b.', 'MarkerSize', 4) yline(pax1, selectedTrial-0.5, 'r-', ... ['\leftarrow Trial ',num2str(selectedTrial)], ... 'LabelHorizontalAlignment','right', ... 'FontSize', 8); linkaxes([ax1, ax2, pax1], 'x') pax1.YLimitMethod = 'tight'; title(pax1, 'Spike train') xlabel(pax1, ax1.XLabel.String) ylabel(pax1, 'Trial #')
% Show MRI pax2 = nexttile(tcl2,2,[2,1]); [I, cmap] = imread('mri.tif'); imshow(I,cmap,'Parent',pax2) hold(pax2, 'on') th = 0:0.1:2*pi; plot(pax2, 7*sin(th)+84, 5*cos(th)+90, 'r-','LineWidth',2) text(pax2, pax2.XLim(2), pax2.YLim(1), 'ML22a',... 'FontWeight', 'bold', ... 'Color','r', ... 'VerticalAlignment', 'top', ... 'HorizontalAlignment', 'right', ... 'BackgroundColor',[1 0.95 0.95]) title(pax2, 'Area of activation')
% Overall figure title title(tcl, 'Single trial responses')
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Cody is a useful tool to practice MATLAB skills not only by solving the problems but also learn from each other’s solutions. Sometimes you see subpar solutions that are cheats and hacks. With the flagging feature we released recently, you can help us identify solutions that administrators, including Community Advisory Board members, can review and delete.
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Every day, thousands of people ask questions on MATLAB Answers and many of these are about their code. Questions such as “How can I make this faster?”, “Why do I get this error message?” or “Why don’t I get the answer I expect?”. There’s often one crucial thing missing though – the code in question!
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