How do I reproduce this heart-shaped mesh in MATLAB? - matlab

I want to plot a heart shape wireframe as shown in the following image
(source):
I have tried to make it by using this MATLAB program:
n=100;
x=linspace(-3,3,n);
y=linspace(-3,3,n);
z=linspace(-3,3,n);
[X,Y,Z]=ndgrid(x,y,z);
F=((-(X.^2) .* (Z.^3) -(9/80).*(Y.^2).*(Z.^3)) + ((X.^2) + (9/4).* (Y.^2) + (Z.^2)-1).^3);
isosurface(F,0)
lighting phong
caxis
axis equal
colormap('flag');
view([55 34]);
But I didn't get the desired shape of framework as shown in the figure.
I have identified the problem: to create a wireframe we usually use the command mesh(). But this plotting facility only allow us to plot a function of two variables such as z=f(x,y). But my program makes use of three variables: F(x,y,z).
How can I solve the problem?

Here's my best attempt at reproducing the entire figure:
Generating the contoured heart mesh:
I used the contourc function to generate a series of contours in the x-y, x-z, and y-z planes. Notice that in the image you want to reproduce, the mesh lines on the back-facing side of the heart are not rendered. The quickest and easiest way I could think of to reproduce that aspect of the plot was to use isosurface to render a white surface just beneath the inside surface of the mesh, blocking the view of the back side.
Here's the code for the function heart:
function heart
% Initialize the volume data, figure, and axes:
[X,Y,Z] = meshgrid(linspace(-3,3,101));
F = -X.^2.*Z.^3-(9/80).*Y.^2.*Z.^3+(X.^2+(9/4).*Y.^2+Z.^2-1).^3;
hFigure = figure('Position',[200 200 400 400],'Color','w');
hAxes = axes('Parent',hFigure,'Units','pixels',...
'Position',[1 1 400 400],'NextPlot','add',...
'DataAspectRatio',[1 1 1],'Visible','off',...
'CameraViewAngle',10,...
'XLim',[32 70],'YLim',[39 63],'ZLim',[34 73]);
view([-39 30]);
% Create and plot contours in the y-z plane:
for iX = [35 38 41 45 48 51 54 57 61 64 67]
plane = reshape(F(:,iX,:),101,101);
cData = contourc(plane,[0 0]);
xData = iX.*ones(1,cData(2,1));
plot3(hAxes,xData,cData(2,2:end),cData(1,2:end),'k');
end
% Create and plot contours in the x-z plane:
for iY = [41 44 47 51 55 58 61]
plane = reshape(F(iY,:,:),101,101);
cData = contourc(plane,[0 0]);
yData = iY.*ones(1,cData(2,1));
plot3(hAxes,cData(2,2:end),yData,cData(1,2:end),'k');
end
% Create and plot contours in the x-y plane:
for iZ = [36 38 40 42 44 46 48 50 52 54 56 58 60 62 64 66 69 71]
plane = F(:,:,iZ);
cData = contourc(plane,[0 0]);
startIndex = 1;
if size(cData,2) > (cData(2,1)+1)
startIndex = cData(2,1)+2;
zData = iZ.*ones(1,cData(2,1));
plot3(hAxes,cData(1,2:(startIndex-1)),...
cData(2,2:(startIndex-1)),zData,'k');
end
zData = iZ.*ones(1,cData(2,startIndex));
plot3(hAxes,cData(1,(startIndex+1):end),...
cData(2,(startIndex+1):end),zData,'k');
end
% Fill the inside of the mesh with an isosurface to
% block rendering of the back side of the heart:
p = patch(isosurface(F,-0.001));
set(p,'FaceColor','w','EdgeColor','none');
end
Putting the figure together:
To reproduce the entire figure I first generated the heart mesh using the heart function above, then added the other elements around it. I also used a few submissions from The MathWorks File Exchange:
arrow.m from Erik Johnson (to generate the arrows)
myaa.m from Anders Brun (to create a nice anti-aliased final image)
Here's the code for the function I_Heart_Math (which generates the above figure):
function I_Heart_Math
% Initialize heart plot and adjust figure and axes settings:
heart;
set(gcf,'Position',[200 200 700 300],'Name','Original image');
offset = get(gca,'CameraPosition')-get(gca,'CameraTarget');
offset = 35.*offset./norm(offset);
set(gca,'Position',[65 -9 300 300],'CameraViewAngle',6,...
'XLim',[21+offset(1) 70],'YLim',[16+offset(2) 63],...
'ZLim',[32 81+offset(3)]);
% Create the axes and labels, offsetting them in front of the
% heart to give the appearance they are passing through it:
arrowStarts = [81 51 51; 51 86 51; 51 51 32]+repmat(offset,3,1);
arrowEnds = [21 51 51; 51 16 51; 51 51 81]+repmat(offset,3,1);
arrow(arrowStarts,arrowEnds,5,40,40);
text('Position',[22 52 48]+offset,'String','x','FontSize',12);
text('Position',[50 17 49]+offset,'String','y','FontSize',12);
text('Position',[46.5 51 81.5]+offset,'String','z','FontSize',12);
% Create the equation text:
text('Position',[51 47 28],'FontName','Bookman','FontSize',8,...
'HorizontalAlignment','center',...
'String',{'(x^2+^9/_4y^2+z^2-1)^3-x^2z^3-^9/_{80}y^2z^3=0'; ...
'-3 \leq x,y,z \leq 3'});
% Create the large-type text:
hI = text('Position',[4 52 69.5],'String','I',...
'FontAngle','italic','FontName','Trebuchet MS',...
'FontSize',116,'FontWeight','bold');
hM = text('Position',[80.5 50 42.5],'String','Math',...
'FontAngle','italic','FontName','Trebuchet MS',...
'FontSize',116,'FontWeight','bold');
% Create an anti-aliased version of the figure too (the larger
% fonts need some adjustment to do this... not sure why):
set(hI,'Position',[4 52 68],'FontSize',86);
set(hM,'Position',[80.5 50 41],'FontSize',86);
myaa;
set(hI,'Position',[4 52 69.5],'FontSize',116);
set(hM,'Position',[80.5 50 42.5],'FontSize',116);
set(gcf,'Name','Anti-aliased image');
end

A very elegant solution is given by #gnovice. I though I extend it by adding the other elements to replicate the figure pointed by the OP. I also added some cool animations!
% volume data
[X,Y,Z] = meshgrid(linspace(-3,3,101));
F = -X.^2.*Z.^3 - (9/80).*Y.^2.*Z.^3 + (X.^2 + (9/4).*Y.^2 + Z.^2 - 1).^3;
% initialize figure
hFig = figure('Menubar','none', 'Color','w');
pos = get(hFig, 'Position');
set(hFig, 'Position', [pos(1)-0.15*pos(3) pos(2) 1.3*pos(3) pos(4)]);
% initialize axes
hAxes = axes('Parent',hFig, 'DataAspectRatio',[1 1 1], ...
'XLim',[30 120], 'YLim',[35 65], 'ZLim',[30 75]);
view(-39,30);
axis off
% Fill the inside of the mesh with an isosurface to
% block rendering of the back side of the heart
patch(isosurface(F,-1e-3), 'FaceColor','w', 'EdgeColor','none')
hidden on % hidden surface removal
% contours in the y-z plane
for iX = [35 38 41 45 48 51 54 57 61 64 67]
plane = reshape(F(:,iX,:), [101 101]);
cData = contourc(plane, [0 0]);
xData = iX.*ones(1,cData(2,1));
line(xData, cData(2,2:end), cData(1,2:end), ...
'Color','r', 'Parent',hAxes)
pause(.1)
end
% contours in the x-z plane
for iY = [41 44 47 51 55 58 61]
plane = reshape(F(iY,:,:), [101 101]);
cData = contourc(plane, [0 0]);
yData = iY.*ones(1,cData(2,1));
line(cData(2,2:end), yData, cData(1,2:end), ...
'Color','r', 'Parent',hAxes)
pause(.1)
end
% contours in the x-y plane
for iZ = [36 38 40 42 44 46 48 50 52 54 56 58 60 62 64 66 69 71]
plane = F(:,:,iZ);
cData = contourc(plane, [0 0]);
startIndex = 1;
if size(cData,2) > (cData(2,1)+1)
startIndex = cData(2,1)+2;
zData = iZ.*ones(1,cData(2,1));
line(cData(1,2:(startIndex-1)), cData(2,2:(startIndex-1)), zData, ...
'Color','r', 'Parent',hAxes)
end
zData = iZ.*ones(1,cData(2,startIndex));
line(cData(1,(startIndex+1):end), cData(2,(startIndex+1):end), zData, ...
'Color','r', 'Parent',hAxes)
pause(.1)
end
% text
props = {'FontWeight','bold', 'FontAngle','italic', 'FontSize',100};
pause(.2)
text(7,50,70, 'I', props{:})
pause(.5)
text(80,50,43, 'Math', props{:})
pause(.2)
% xyz axes
line([20 80], [50 50], [52.5 52.5], 'Color','k')
line([50 50], [20 80], [52.5 52.5], 'Color','k')
line([50 50], [50 50], [30 80], 'Color','k')
text(20,50,50, 'x')
text(48,20,50, 'y')
text(45,50,80, 'z')
drawnow
% equation
props = {'FontSize',10, 'Interpreter','latex'};
text(20,65,30, '$(x^2+9/4y^2+z^2-1)^3 - x^2z^3-9/80y^2z^3=0$', props{:});
text(30,45,30, '$-3 \leq x,y,z \leq 3$', props{:});
drawnow
(The above GIF file was created using GETFRAME and IMWRITE).

This code plots the shaded surface:
% volume data
step = 0.05;
[X,Y,Z] = meshgrid(-3:step:3, -3:step:3, -3:step:3);
F = (-(X.^2).*(Z.^3)-(9/80).*(Y.^2).*(Z.^3))+((X.^2)+(9/4).*(Y.^2)+(Z.^2)-1).^3;
% shaded surface
isosurface(X,Y,Z,F,0)
lighting phong
axis equal
view(-39,30)
set(gcf, 'Color','w')
colormap flag
We could instead plot the wireframe only:
% volume data
step = 0.05;
[X,Y,Z] = meshgrid(-3:step:3, -3:step:3, -3:step:3);
F = (-(X.^2).*(Z.^3)-(9/80).*(Y.^2).*(Z.^3))+((X.^2)+(9/4).*(Y.^2)+(Z.^2)-1).^3;
% wireframe
patch(isosurface(X,Y,Z,F,0), 'FaceColor','w', 'EdgeColor','b')
daspect([1 1 1])
view(3)
axis tight equal
set(gcf, 'Color','w')

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clc
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pause(.5)
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Plot heat conduction temperature at various radii with Matlab

I have an array in Matlab that is updated for every time step: each row corresponds to a time and each column represents a temperature at a certain radius from the center. It would also be handy if a color gradient could be applied to the plot using the meshgrid and contourf commands. So far, this is the Matlab code that I have, but I am not sure how to get the temperature into the plot and animate the change in temperature.
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I am trying to create a circular plot in Matlab that would show the temperature (color) at each radius and animate that temperature (change color) as it increases or decreases with time.
An example of such a plot at a certain time would be:
So column 1 in the T array corresponds to node 1 in the picture, column 2 corresponds to node 2, etc. Thus at time = 0 then node1 = 98, node2 = 105, node3 = 110, node4 = 118, node5 = 128; at time = 1 then node1 = 109, node2 = 110, node3 = 117, node4 = 124, node5 = 134; and so on.
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Same as #Magla's nice answer but draws a single surface (not an overlay) allowing interpolation
T = [98 105 110 118 128;
109 110 117 124 134;
114 118 120 130 138];
Rmax = 30;
[x,y,z] = sphere(100);
x=x*Rmax;
y=y*Rmax;
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edit
Rewrote to use meshgrid and to use the particular radii etc of interest. Make sure to adjust r_res to a value you find adequate.
T = [98 105 110 118 128;
109 110 117 124 134;
114 118 120 130 138];
%---------------------------------------
r = 0.08; % radius of circle
r_res = 0.0005;
rx = -r:r_res:r;
ry = rx;
[x, y] = meshgrid(rx, ry);
rxy2 = x.^2+y.^2;
z=ones(size(rxy2))*NaN;
%---------------------------------------
Nshells = size(T,2);
r = [0:1/Nshells:1]*r;
r2 = r.^2;
figure('Color', 'w');
colormap hot
for ind_t = 1:size(T,1)
for ii = 1:Nshells
ir_find = find(rxy2<=r2(ii+1) & rxy2>r2(ii));
z(ir_find) = T(ind_t,ii);
end
hax = axes('Position',[0 0 1 1]);
h = surf(x,y,z) % sphere centered at origin
shading interp
set(h, 'EdgeColor', 'None');
view(0,90);
axis equal;
set(hax, 'Visible', 'Off', 'CLim', [min(T(:)) max(T(:))]);
pause(0.5);
end
Here is a solution that makes use of sphere. sphere generates the matrices x and y that are multiply by a decreasing radius r, and matrix z that is reduced to a single value (a sphere becomes a disk). z is multiplied by the temperature and disks are plotted on top of each other. Colors depend on the min and max of the whole input matrix. Animation is done with pause.
T = [98 105 110 118 128;
109 110 117 124 134;
114 118 120 130 138];
[x,y,z] = sphere(100);
r = [50 40 30 20 10];
figure('Color', 'w');
for ind_t = 1:size(T,1)
hax = axes('Position',[0 0 1 1]);
for ii = 1:length(r)
h = surf(x*r(ii),y*r(ii),z*0+T(ind_t,ii)) % sphere centered at origin
set(h, 'EdgeColor', 'None');
hold on;
end
view(0,90);
axis equal;
set(hax, 'Visible', 'Off', 'CLim', [min(T(:)) max(T(:))]);
pause(0.5);
end
This gives