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How can I create a heatmap?

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Can someone help with to create a heatmap for this data?
I tried with these commands but it didn't work. Thank you!
xvar = T.Xft;
yvar = T.Yft;
Temp = T(:,4:end);
gridres = 100 ;
xs = linspace(min(xvar),max(xvar),gridres) ;
ys = linspace(min(yvar),max(yvar),gridres) ;
[xq,yq]=meshgrid(xs,ys) ;
InterpolatedTemp = griddata(xvar,yvar,Temp,xq,yq) ;
hmap_above = pcolor(xq,yq,InterpolatedTemp);
hmap_above.EdgeColor = [.5 .5 .5] ;
colorbar
colormap jet
title('heatmap')
shading interp
  5 Comments
Jon
Jon on 28 Jul 2023
Please provide a description of the data in T.xlsx, and what you really want plotted in your "heat map".
Looking at the data, I see that your data X (ft), and Y (ft), do not provide a grid, or even a scattered sampling of the x,y plane. Instead the x and y points all fall along a line. There are multiple columns of T data. If so, the heat map could only plot the data for one of those columns.
At the moment even if you just chose one of those columns, you still couldn't provide a map of temperatures across the x-y plane as you only have data for points along one line in this plane.
Sanley Guerrier
Sanley Guerrier on 28 Jul 2023
Each point (X, Y) coordinate has a series of thermal values from T0 to T6. T0 to T6 are measured a long a straight line which is the width of a road and the column "distance" is the length of the road.
I would like to visualize the data to see the change in temperature a long the road.
Thank you!

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Accepted Answer

Cris LaPierre
Cris LaPierre on 28 Jul 2023
Edited: Cris LaPierre on 28 Jul 2023
Do you need to preserve the shape of the road in your heatmap? If not, the easiest approach is to just create a heatmap using the T0-T6 columns.
T = readtable("T.xlsx","VariableNamingRule","preserve");
heatmap(T{:,["T" + (0:6)]})
Another way to do this might be the following
newT = stack(T,["T" + (0:6)],"NewDataVariableName","Value");
heatmap(newT,"Value_Indicator","Distance from CR29 (ft)","ColorVariable","Value")
  9 Comments
Cris LaPierre
Cris LaPierre on 31 Jul 2023
The problem is that you have a 4D data set (X,Y,T,v), or 29x29x7x1. For each (x,y) pair, you have 7 values. A surface plot expects one value per point.
If the heatmap approach worked for you, then I'd do something similar using surf.
T = readtable("T.xlsx","VariableNamingRule","preserve");
surf(categorical(["T"+(0:6)]),T.("Distance from CR29 (ft)"),T{:,["T"+(0:6)]})
colorbar
When you have more than 3 dimensions, you need to get creative, using marker style, color, size, linestyle, etc to convey the higher dimensions.
newT = stack(T,["T" + (0:6)],"NewDataVariableName","Value");
grps = unique(newT.Value_Indicator);
for g = 1:length(grps)
ind = ismember(newT.Value_Indicator,grps(g));
scatter3(newT{ind,"X (ft)"},newT{ind,"Y (ft)"},newT.Value(ind),'filled')
hold on
end
hold off
legend(grps)
Sanley Guerrier
Sanley Guerrier on 31 Jul 2023
Appriciate it Cris!
I think I got now. Thanks for the precision.

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