Plotting 2D XY values as a 3D radial contour plot

Question

Aero Descerazes 2022-1-10

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此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/1626415-plotting-2d-xy-values-as-a-3d-radial-contour-plot

评论： Mathieu NOE 2022-1-13

I want to plot XY values, where X represents the values accross a radius (0 is the center of the distrbution) and Y represents the colors of a heatmap (like a Gaussian distribution). I want it to look like the image attached. Can anyone please tell me how to do this? Thanks!

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Answer 1

Mathieu NOE 2022-1-11

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此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/1626415-plotting-2d-xy-values-as-a-3d-radial-contour-plot#answer_872640

在 MATLAB Online 中打开

hello

my 2 cents suggestion

clc
clearvars
data = importdata('data.txt');
x = data.data(:,1);
n = 200;
r = linspace(min(x),max(x),n);
z = data.data(:,2);
zz = interp1(x,z,r);
figure, hold on
axis square
for ci = 1:200
    theta = rand(n,1)*2*pi;
    XX = r'.*cos(theta);
    YY  = r'.*sin(theta);
    scatter(XX,YY,5,log10(zz),'filled')
end
%   Color maps.
%     parula     - Blue-green-orange-yellow color map
%     hsv        - Hue-saturation-value color map.
%     hot        - Black-red-yellow-white color map.
%     gray       - Linear gray-scale color map.
%     bone       - Gray-scale with tinge of blue color map.
%     copper     - Linear copper-tone color map.
%     pink       - Pastel shades of pink color map.
%     white      - All white color map.
%     flag       - Alternating red, white, blue, and black color map.
%     lines      - Color map with the line colors.
%     colorcube  - Enhanced color-cube color map.
%     vga        - Windows colormap for 16 colors.
%     jet        - Variant of HSV.
%     prism      - Prism color map.
%     cool       - Shades of cyan and magenta color map.
%     autumn     - Shades of red and yellow color map.
%     spring     - Shades of magenta and yellow color map.
%     winter     - Shades of blue and green color map.
%     summer     - Shades of green and yellow color map.
    
colormap('autumn');

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Mathieu NOE 2022-1-12

在 MATLAB Online 中打开

Data.txt

here an alternative with surf

my "r" correspond to the first column of your data

my "z" correspond to the second column of your data

clc
clearvars
data = importdata('data.txt');
r = data.data(:,1);
z = data.data(:,2);
figure(1), 
n = 50;
for ci = 1:n
    theta = (ci-1)/(n-1)*2*pi;
    XX(:,ci) = r'.*cos(theta);
    YY(:,ci)  = r'.*sin(theta);
    zz(:,ci) = z;
end
s = surf(XX,YY,zz);
view(2); 
%   view(2) sets the default 2-D view, AZ = 0, EL = 90.
%   view(3) sets the default 3-D view, AZ = -37.5, EL = 30.
s.EdgeColor = 'none'; %  hide the edges by setting the EdgeColor property.
axis square
%   Color maps.
%     parula     - Blue-green-orange-yellow color map
%     hsv        - Hue-saturation-value color map.
%     hot        - Black-red-yellow-white color map.
%     gray       - Linear gray-scale color map.
%     bone       - Gray-scale with tinge of blue color map.
%     copper     - Linear copper-tone color map.
%     pink       - Pastel shades of pink color map.
%     white      - All white color map.
%     flag       - Alternating red, white, blue, and black color map.
%     lines      - Color map with the line colors.
%     colorcube  - Enhanced color-cube color map.
%     vga        - Windows colormap for 16 colors.
%     jet        - Variant of HSV.
%     prism      - Prism color map.
%     cool       - Shades of cyan and magenta color map.
%     autumn     - Shades of red and yellow color map.
%     spring     - Shades of magenta and yellow color map.
%     winter     - Shades of blue and green color map.
%     summer     - Shades of green and yellow color map.
colormap('autumn');
colorbar('vert');

Mathieu NOE 2022-1-13

在 MATLAB Online 中打开

Hello

if your data lack a bit of resolution, you can do some interpolation at the evry beginning (added this in the code below)

clc
clearvars
data = importdata('data.txt');
x = data.data(:,1);
% resample the data (interpolation) for a better resolution
r = linspace(min(x),max(x),100);
z = data.data(:,2);
z = interp1(x,z,r);
figure(1), 
n = 100;
for ci = 1:n
    theta = (ci-1)/(n-1)*2*pi;
    XX(:,ci) = r'.*cos(theta);
    YY(:,ci)  = r'.*sin(theta);
    zz(:,ci) = z(:);
end
s = surf(XX,YY,zz);
view(2); 
%   view(2) sets the default 2-D view, AZ = 0, EL = 90.
%   view(3) sets the default 3-D view, AZ = -37.5, EL = 30.
s.EdgeColor = 'none'; %  hide the edges by setting the EdgeColor property.
axis square
%   Color maps.
%     parula     - Blue-green-orange-yellow color map
%     hsv        - Hue-saturation-value color map.
%     hot        - Black-red-yellow-white color map.
%     gray       - Linear gray-scale color map.
%     bone       - Gray-scale with tinge of blue color map.
%     copper     - Linear copper-tone color map.
%     pink       - Pastel shades of pink color map.
%     white      - All white color map.
%     flag       - Alternating red, white, blue, and black color map.
%     lines      - Color map with the line colors.
%     colorcube  - Enhanced color-cube color map.
%     vga        - Windows colormap for 16 colors.
%     jet        - Variant of HSV.
%     prism      - Prism color map.
%     cool       - Shades of cyan and magenta color map.
%     autumn     - Shades of red and yellow color map.
%     spring     - Shades of magenta and yellow color map.
%     winter     - Shades of blue and green color map.
%     summer     - Shades of green and yellow color map.
    
colormap('autumn');
colorbar('vert');