How do i produce an animated GIF in MATLAB? - matlab

I want to produce a animated gif of a solution to a partial differential equation. That is the gif should show the solution at specific time.
Currently I can only make pictures in which all times are plotted.
Below is my entire program, with figure(3) being my attempt of making a gif.
clear all;
close all;
%%%%%%%%%%%%
% For slide 27 of Diffusion 1D
% The equation to be graphed in latex form is
% u(x,t)=\frac{1}{L}+\frac{2}{L}\sum^{\infty}_{n=1}cos(\frac{n\pi x_0}{L})cos(\frac{n\pi x}{L})e^{-k(\frac{n\pi}{L})^2t}
%%%%%%%%%%%%
%define constants
%note that the constants listed in the file are arbitrary
L = 2; %length of the rod
k= 0.01; % Diffusivity, which is assume to be constant but can be a function of x
x0 = 1; %location of the inital condition i.e. f(x)=delta(x-x0)
tmax= 50; %maximum amount of time the simulation runs
nmax = 200; % maximum value for n, increase to accuracy
tgrid = 21; %The number of points to be evaluated in the time domain
xgrid = 51; %The number of points to be evaluated in the space domain
%initialize variables
u=zeros(tgrid,xgrid); %preallocate array used for storing values of the solution
t=linspace(0,tmax,tgrid);%We assume that time is evenly distributed
x=linspace(0,L,xgrid); %We assume that space is evenly distributed
%Plotting variables
figure(1);
hold on;
axis([0 L -inf inf]);
xlabel('x');
ylabel('u(x,t)');
%Calculation,
for i=1:tgrid
for j=1:xgrid
seriesSum=0;
%Calculate the fourier series up to nmax for each point u(x,t)
for n= 1:nmax
seriesSum= seriesSum + cos(n*pi*x0/L)*cos(n*pi*x(j)/L)*exp(-k*t(i)*(n*pi/L)^2);
end
%Finish calcuation for solution at a specific point
u(i,j)= 1/L+(2/L)*seriesSum;
end
%After we have calculated all points at time t, we graph it for time t
plot(x,u(i,:),'linewidth',4);
end
saveas(gcf,'PDE_sol.png')%Save figure as png in current directory
%run a second loop that does not include the initial condition to get a
%better view of the long term behaviour.
%Plotting variables
figure(2);
hold on;
axis([0 L -inf inf]);
xlabel('x');
ylabel('u(x,t)');
for i=2:tgrid
plot(x,u(i,:),'linewidth',4);
end
saveas(gcf,'PDE_sol_without_inital.png')%Save figure as png in current directory
%Create a gif verison of figure 2
figure(3);
axis([0 L -inf inf]);
xlabel('x');
ylabel('u(x,t)');
filename = 'PDE_sol.gif';
for i=2:tgrid
plot(x,u(i,:),'linewidth',4);
drawnow
frame = getframe(1);
im = frame2im(frame);
[imind,cm] = rgb2ind(im,256);
if i == 2;
imwrite(imind,cm,filename,'gif', 'Loopcount',inf);
else
imwrite(imind,cm,filename,'gif','WriteMode','append');
end
end
The output gif that I get is
which is clearly not animated.
Note: If you think there is a better place to post this question please direct me to it. As my issue is with the MATLAB programming language and not the math involved I thought this would be the best place to post my question.

The first input to getframe is the handle of the figure that you'd like to take a screenshot of. As you have it written, you are grabbing figure 1 which is actually referring to the first figure that you create that you aren't updating within your loop.
You have assigned a numeric handle of 3 to the figure that you create right before your last loop so you'll want to tell getframe to use that figure instead.
Additionally, I would create one plot object and update the XData and YData rather than continuously creating new plot objects. The issue with calling plot continuously is that it's slow AND it completely resets all of your axes settings such as x and y labels as well as x and y limits.
% Store the handle to the figure in hfig
hfig = figure(3);
% Create the initial plot object
hplot = plot(NaN, NaN, 'LineWidth', 4);
axis([0 L 0 2]);
xlabel('x');
ylabel('u(x,t)');
filename = 'PDE_sol.gif';
for i=2:tgrid
% Update the plot appearance
set(hplot, 'XData', x, 'YData', u(i,:));
drawnow
% Get a screenshot of THIS figure
frame = getframe(hfig);
im = frame2im(frame);
[imind,cm] = rgb2ind(im,256);
if i == 2;
imwrite(imind,cm,filename,'gif', 'Loopcount',inf);
else
imwrite(imind,cm,filename,'gif','WriteMode','append');
end
end

Related

How do I plot the solutions and errors obtained through Jacobi Iteration?

I am trying to create a figure showing the solution I obtained through Jacobi iteration along with the true solution, as well as the error of the Jacobi solution.
The figure I'm trying to create should consist of two plots.
I used the subplot command, to split the figure into
an upper and lower axes and I wrote the for loop that calculates the Jacobi iterations and the error. The loop is going to iterate 400 times using x0 as the initial guess. Before this, I calculated the true solution to the system Ax = b.
N = 30;
iter = 400;
A = toeplitz([-2 1 zeros(1, N-2)], [-2 1 zeros(1, N-2)]);
bk = ones(N,1);
for jj = 1:N
bk(jj) = cos(5*jj) + (1/2)*sin(7*jj);
end
x = A\bk;
D = diag(diag(A));
T = A - D;
x0 = zeros(N,1);
error = zeros(iter,1);
M = -D\T;
g = D\bk;
for nn = 1:iter
x0 = M*x0 + g;
error(nn) = norm(x - x0,2);
end
subplot(2,1,1)
plot(x0(1:N,1),'ro');
ylabel('Solution','FontSize',22);
title('Solution by Jacobi Iteration','FontSize',22);
xlim([0 pi]);
ylim([-5 5]);
xticks(0:0.5:3);
yticks(-5:5:5);
subplot(2,1,2)
plot(error(1:N),'ro')
ylabel('Error','FontSize',22);
xlabel('t','FontSize',22);
xlim([0 pi]);
ylim([0 0.1]);
xticks(0:0.5:3);
yticks(0:0.05:0.1);
The upper window should show the true solution in red circles connected by solid lines. The lower window show show the error as red
circles connected by dotted lines. When I ran my code, only 3 red circles appeared in the upper window and nothing was plotted in the lower window. I'm still bad at plotting iterations of a loop. Can someone help me with plotting the solutions and errors I calculated?
The xlim and ylim statements are not representative of the data.
x0 and x have N elements (30 here), and the elements of x and x0 span -2 to 2 in this setup.
error has iter elements (400 here), and the elements of error go from 4 to about 0.01.
For these plots, the element index maps to the horizontal x-axis, and their values to the y-axis. I think this plot setup should give you the result you desire (I probably changed more than actually needed):
subplot(2,1,1);
plot(1:N, x0(1:N,1), 'ro', 1:N, x,'k+');
title('Solution by Jacobi Iteration','FontSize',22);
ylabel('Solution','FontSize',22);
xlim([1, N]);
ylim([-3, 3]);
xticks(1:N);
yticks(-3:0.5:3);
subplot(2,1,2)
semilogy(1:iter, error(1:iter),'ro')
ylabel('Error','FontSize',22);
xlabel('t','FontSize',22);
xlim([1 iter]);
ylim([0 4]);
xticks(0:25:400);

How to speed up a very slow animated plot in MATLAB

I'm trying to create an animated plot but my code is very slow, perhaps the method I'm using is too naive. In the below example, I have 4 subplots each with 3 lines, which I update in a 'time' loop.
clc;clear;close all;
state = {'$x-Position$','$x-Velocity$','$y-Position$','$y-Velocity$'};
ylabels = {'$x$','$\dot{x}$','$y$','$\dot{y}$'};
options1 = {'interpreter','latex'};
options2 = {'interpreter','latex','fontsize',20};
maxT = 300;
for pp = 1:4
hh1(pp)=subplot(2,2,pp);
xlabel('$t$',options2{:});
ylabel(ylabels{pp},options2{:});
title(state{pp},options1{:})
xlim([0 maxT])
hold on
end
x = randn(4,300);
z = randn(4,300);
x_est = randn(4,300);
for k = 2:maxT
for p = 1:4
plot(hh1(p),k-1:k,x(p,k-1:k),'b','linewidth',2)
plot(hh1(p),k-1:k,z(p,k-1:k),'m')
plot(hh1(p),k-1:k,x_est(p,k-1:k),':k','linewidth',2)
end
drawnow;
end
As can be seen from the profiler output, the drawnow is killing the time. Is there any way I can be more efficient in creating this animation?
Because you want an animation, there is no alternative to using drawnow to update the frame. However, it's not drawnow in particular which is slowing you down - the profiler can be misleading... drawnow simply updates all of the graphics changes since the last re-draw, which in your case is a dozen new plots!
You'll find that hold is pretty slowing. For instance if you're wiser about your holding, remove the existing hold on and only hold when actually plotting
% ... above code the same but without 'hold on'
for p = 1:4
hold(hh1(p), 'on');
% plots
hold(hh1(p), 'off');
end
This saves ~10% time on my PC (12.3sec down to 11.3sec).
The real speed up comes from removing hold entirely, along with all of the individual plot calls! This method also doesn't touch the line formatting which will help with speed. See a previous question about updating plot data here.
Simply update the plot data instead of adding plots. This gives me a speedup of ~68% (12.3sec down to 4.0sec).
% ... your same setup
% Initialise plot data
x = randn(4,300);
z = randn(4,300);
x_est = randn(4,300);
plts = cell(4,3);
hh1 = cell(4,1);
% Loop over subplots and initialise plot lines
for p = 1:4
hh1{p}=subplot(2,2,p);
xlabel('$t$',options2{:});
ylabel(ylabels{p},options2{:});
title(state{p},options1{:})
xlim([0 maxT])
% Hold on to make 3 plots. Create initial points and set line styles.
% Store the plots in a cell array for later reference.
hold on
plts{p,1} = plot(hh1{p},1:2,x(p,1:2),'b','linewidth',2);
plts{p,2} = plot(hh1{p},1:2,z(p,1:2),'m');
plts{p,3} = plot(hh1{p},1:2,x_est(p,1:2),':k','linewidth',2);
hold off
end
% March through time. No replotting required, just update XData and YData
for k = 2:maxT
for p = 1:4
set(plts{p,1}, 'XData', 1:k, 'YData', x(p,1:k) );
set(plts{p,2}, 'XData', 1:k, 'YData', z(p,1:k) );
set(plts{p,3}, 'XData', 1:k, 'YData', x_est(p,1:k) );
end
drawnow;
end
Now the plotting is pretty optimised. If you want the animation to be even quicker then just plot every 2nd, 3rd, ..., nth timestep instead of every timestep by using for k = 2:n:maxT.

Visualizing matrix values in real time

Suppose I have a 5x5 matrix.
The elements of the matrix change (are refreshed) every second.
I would like to be able to display the matrix (not as a colormap but with the actual values in a grid) in realtime and watch the values in it change as time progresses.
How would I go about doing so in MATLAB?
A combination of clc and disp is the easiest approach (as answered by Tim), here's a "prettier" approach you might fancy, depending on your needs. This is not going to be as quick, but you might find some benefits, such as not having to clear the command window or being able to colour-code and save the figs.
Using dispMatrixInFig (code at the bottom of this answer) you can view the matrix in a figure window (or unique figure windows) at each stage.
Example test code:
fig = figure;
% Loop 10 times, pausing for 1sec each loop, display matrix
for i=1:10
A = rand(5, 5);
dispMatrixInFig(A,fig)
pause(1)
end
Output for one iteration:
Commented function code:
function dispMatrixInFig(A, fig, strstyle, figname)
%% Given a figure "fig" and a matrix "A", the matrix is displayed in the
% figure. If no figure is supplied then a new one is created.
%
% strstyle is optional to specify the string display of each value, for
% details see SPRINTF. Default is 4d.p. Can set to default by passing '' or
% no argument.
%
% figname will appear in the title bar of the figure.
if nargin < 2
fig = figure;
else
clf(fig);
end
if nargin < 3 || strcmp(strstyle, '')
strstyle = '%3.4f';
end
if nargin < 4
figname = '';
end
% Get size of matrix
[m,n] = size(A);
% Turn axes off, set origin to top left
axis off;
axis ij;
set(fig,'DefaultTextFontName','courier', ...
'DefaultTextHorizontalAlignment','left', ...
'DefaultTextVerticalAlignment','bottom', ...
'DefaultTextClipping','on');
fig.Name = figname;
axis([1, m-1, 1, n]);
drawnow
tmp = text(.5,.5,'t');
% height and width of character
ext = get(tmp, 'Extent');
dy = ext(4);
wch = ext(3);
dwc = 2*wch;
dx = 8*wch + dwc;
% set matrix values to fig positions
x = 1;
for i = 1:n
y = 0.5 + dy/2;
for j = 1:m
y = y + 1;
text(x,y,sprintf(strstyle,A(j,i)));
end
x = x + dx;
end
% Tidy up display
axis([1-dwc/2 1+n*dx-dwc/2 1 m+1]);
set(gca, 'YTick', [], 'XTickLabel',[],'Visible','on');
set(gca,'XTick',(1-dwc/2):dx:x);
set(gca,'XGrid','on','GridLineStyle','-');
end
I would have thought you could achieve this with disp:
for i=1:10
A = rand(5, 5);
disp(A);
end
If you mean that you don't want repeated outputs on top of each other in the console, you could include a clc to clear the console before each disp call:
for i=1:10
A = rand(5, 5);
clc;
disp(A);
end
If you want to display your matrix on a figure it is quite easy. Just make a dump matrix and display it. Then use text function to display your matrix on the figure. For example
randMatrix=rand(5);
figure,imagesc(ones(20));axis image;
hold on;text(2,10,num2str(randMatrix))
If you want to do it in a for loop and see the numbers change, try this:
for i=1:100;
randMatrix=rand(5);
figure(1),clf
imagesc(ones(20));axis image;
hold on;text(2,10,num2str(randMatrix));
drawnow;
end

Matlab GUI select which axes to plot

I am using the code below to plot data from the serial port. Since I have two axes for plotting, how can I select a particular axes for this plot?
From similar problem, I found that they use axes(handles.axes2);. Since I have the plot declared at the start of the program, where should I place this line of code? I tried placing it before specifying the plot title etc. but it is not working.
% Serial Data Logger
% Yu Hin Hau
% 7/9/2013
% **CLOSE PLOT TO END SESSION
clear
clc
%User Defined Properties
serialPort = 'COM5'; % define COM port #
plotTitle = 'Serial Data Log'; % plot title
xLabel = 'Elapsed Time (s)'; % x-axis label
yLabel = 'Data'; % y-axis label
plotGrid = 'on'; % 'off' to turn off grid
min = -1.5; % set y-min
max = 1.5; % set y-max
scrollWidth = 10; % display period in plot, plot entire data log if <= 0
delay = .01; % make sure sample faster than resolution
%Define Function Variables
time = 0;
data = 0;
count = 0;
%Set up Plot
plotGraph = plot(time,data,'-mo',...
'LineWidth',1,...
'MarkerEdgeColor','k',...
'MarkerFaceColor',[.49 1 .63],...
'MarkerSize',2);
title(plotTitle,'FontSize',25);
xlabel(xLabel,'FontSize',15);
ylabel(yLabel,'FontSize',15);
axis([0 10 min max]);
grid(plotGrid);
%Open Serial COM Port
s = serial(serialPort)
disp('Close Plot to End Session');
fopen(s);
tic
while ishandle(plotGraph) %Loop when Plot is Active
dat = fscanf(s,'%f'); %Read Data from Serial as Float
if(~isempty(dat) && isfloat(dat)) %Make sure Data Type is Correct
count = count + 1;
time(count) = toc; %Extract Elapsed Time
data(count) = dat(1); %Extract 1st Data Element
%Set Axis according to Scroll Width
if(scrollWidth > 0)
set(plotGraph,'XData',time(time > time(count)-scrollWidth),'YData',data(time > time(count)-scrollWidth));
axis([time(count)-scrollWidth time(count) min max]);
else
set(plotGraph,'XData',time,'YData',data);
axis([0 time(count) min max]);
end
%Allow MATLAB to Update Plot
pause(delay);
end
end
%Close Serial COM Port and Delete useless Variables
fclose(s);
clear count dat delay max min plotGraph plotGrid plotTitle s ...
scrollWidth serialPort xLabel yLabel;
disp('Session Terminated...');
The trick to get reliable plotting and manipulation is to always specify the parent explicitly using the Parent parameter when creating a plot or any other graphics object. All graphics objects support this parameter.
hax = axes();
plot(x,y, 'Parent', hax);
The other alternative, as suggested by #matlabgui is to specify the parent axes as the first input to plot:
plot(hax, x, y);
I personally prefer to use the Parent parameter as a parameter value pair though, as that behavior is consistent across all graphics objects.
You should also specify the axes handle when using other functions which operate on an axes.
xlabel(hax, 'XLabel')
ylabel(hax, 'YLabel')
title(hax, 'This is a title')
axis(hax, [0 0 1 1])
grid(hax, 'on')
hold(hax, 'on')
This is particularly important if you are dealing with an interactive GUI as the user could easily click on a different axes in the middle of your plotting causing the value of gca to change unexpectedly. Also changing the current axes (using axes(hax)) can cause a poor user experience.
Summary
For your specific code, this would involve changing your initial plot call:
plotGraph = plot(time,data,'-mo',...
'LineWidth',1,...
'MarkerEdgeColor','k',...
'MarkerFaceColor',[.49 1 .63],...
'MarkerSize',2, ...
'Parent', handles.axes2);
I would also recommend adding explicit axes handles to your calls to: grid, title, axis, xlabel, and ylabel to ensure that their target is the axes you want.

Creating a point moving along a graph in MATLAB

I am looking to create a simple log(x) graph within MATLAB in which the model shows the point moving along the curve with time.
The overall aim is to have two of these graphs alongside one another and to apply an algorithm to them. I am really unsure where to start here.
I am relatively new at MATLAB coding so any help would be very useful!
Thanks
Luke
Here is a variation on #Jacob's solution. Instead of redrawing everything at each frame (clf) we simply update the point's location:
%# control animation speed
DELAY = 0.01;
numPoints = 600;
%# create data
x = linspace(0,10,numPoints);
y = log(x);
%# plot graph
figure('DoubleBuffer','on') %# no flickering
plot(x,y, 'LineWidth',2), grid on
xlabel('x'), ylabel('y'), title('y = log(x)')
%# create moving point + coords text
hLine = line('XData',x(1), 'YData',y(1), 'Color','r', ...
'Marker','o', 'MarkerSize',6, 'LineWidth',2);
hTxt = text(x(1), y(1), sprintf('(%.3f,%.3f)',x(1),y(1)), ...
'Color',[0.2 0.2 0.2], 'FontSize',8, ...
'HorizontalAlignment','left', 'VerticalAlignment','top');
%# infinite loop
i = 1; %# index
while true
%# update point & text
set(hLine, 'XData',x(i), 'YData',y(i))
set(hTxt, 'Position',[x(i) y(i)], ...
'String',sprintf('(%.3f,%.3f)',[x(i) y(i)]))
drawnow %# force refresh
%#pause(DELAY) %# slow down animation
i = rem(i+1,numPoints)+1; %# circular increment
if ~ishandle(hLine), break; end %# in case you close the figure
end
A simple solution is:
x = 1:100;
y = log(x);
DELAY = 0.05;
for i = 1:numel(x)
clf;
plot(x,y);
hold on;
plot(x(i),y(i),'r*');
pause(DELAY);
end
You may want to have a look at the COMET function, which will make an animation of the curve.
For example (using the same numbers as #Jacob)
x = 1:100;
y = log(x);
comet(x,y)
If you want to show the point moving on the line (not 'drawing' it), you simply plot the line before
x = 1:100;
y = log(x);
plot(x,y,'r')
hold on %# to keep the previous plot
comet(x,y,0) %# 0 hides the green tail
a little more complex solution along the same lines as #Jacob. Here I add some optimization using handle graphics and a MATLAB movie object for playback.
x=1:100;
y=log(x);
figure
plot(x,y);
hold on; % hold on so that the figure is not cleared
h=plot(x(1),y(1),'r*'); % plot the first point
DELAY=.05;
for i=1:length(x)
set(h,'xdata',x(i),'ydata',y(i)); % move the point using set
% to change the cooridinates.
M(i)=getframe(gcf);
pause(DELAY)
end
%% Play the movie back
% create figure and axes for playback
figure
hh=axes;
set(hh,'units','normalized','pos',[0 0 1 1]);
axis off
movie(M) % play the movie created in the first part
solution can be this way
x = .01:.01:3;
comet(x,log(x))