How can I plot three columns of a dataset to produce an image or a map?

I have the randomly generated data with the final dataset in the Variable 'DATA'

===========================================

D = [66;67;68;69;70;74;75;76;78;83];

Day =repelem(D,11);

timeH = (13:23)'; timeH = repmat(timeH,[10,1]);

xmin=0;

xmax=0.9;

n=110;

x = xmin+rand(1,n)*(xmax-xmin);

x = x';

DATA = [Day,timeH,x];

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I want to produce an image or map with x-axis Day, y-axis as timeH and z-axis as x.

I have tried with:

imagesc(Day,timeH, x)

but the output I'm getting is more of stripped color lines,

I want a map like the images attached (days on the x axis instead)

or

I would be grateful if i can get help. Thank you

Answer 1

[Joe Vinciguerra]

The data needs to be reshaped.

Here are a few different plotting options, depending no how you went to represent the data.

D = [66;67;68;69;70;74;75;76;78;83]; 
Day =repelem(D,11);
timeH = (13:23)'; timeH = repmat(timeH,[10,1]);
xmin=0;
xmax=0.9;
n=110;
x = xmin+rand(1,n)*(xmax-xmin);
x = x';
DATA = [Day, timeH, x];

% Reshape the data into matrices
d = reshape(DATA(:,1), [11, 10]);
t = reshape(DATA(:,2), [11, 10]);
X = reshape(DATA(:,3), [11, 10]);

% plot as a scaled color image
imagesc(Day, timeH, X)
colorbar()

% plot as a scaled color image with interpolated visualization
imagesc(Day, timeH, X, "Interpolation", "bilinear")
colorbar()

% plot as a filled contour map
contourf(d, t, X, "LineStyle","none")
colorbar()

% plot as a 3D surface, viewed from top with interpolated shadind
surf(d, t, X, "LineStyle","none")
shading(gca, "interp")
colorbar()
view(0, 90)
axis tight

[Stephen Tete]

Great, thank you.

how can i distribute the days on the bottom axis according to their unique values?

[Joe Vinciguerra]

If I understand you, something like xticks(66:83) or xticks(D).

[Stephen Tete]

oh sure