How to make the color change in a graph more dramatic

The graph is smooth, so there is not much color change, but I want to change it more diversely.

clear all
clc 
T = readtable('data1.xlsx') ; 
T = table2array(T) ;
x = T(1,2:end);  % 
y = T(2:end,1);  % 
Z = T(2:end,2:end);  % use fillmissing to fill NaNs
[X,Y] = meshgrid(x,y) ;
[xq,yq] = meshgrid(2:0.1:10);     % grid  0.1
Zq = interp2(x,y,Z,xq,yq,'spline'); %  spline

figure
AA = surf(xq,yq,Zq);
title('(spline,cubic,makima) Interpolation Using Finer Grid');

Answer 1

[Star Strider]

Choosing a different colormap is the only option I am aware of.

.

[kyungdoo lee]

please tell me how to do it in code

[Star Strider]

Sure!

Here is an example using the peaks funciton —

[X,Y,Z] = peaks(50);

figure
surf(X,Y,Z)
title('Default Colormap (parula)')
grid on

figure
surf(X,Y,Z)
title('Defined Colormap (turbo)')
grid on
colormap(turbo)

The turbo colormap was introduced in R2020b.

.

[Image Analyst]

To see the colors better you might turn the edge lines off

surf(X,Y,Z, 'EdgeColor','none')

It's really needed if you have more than about 50 rows and columns because otherwise the black lines are all you see.

Star thanks for letting us know about the new turbo. Though it is similar to jet, it looks like a big improvement over jet.

[kyungdoo lee]

clear all
clc 
T = readtable('data1.xlsx') ; 
T = table2array(T) ;
x = T(1,2:end);  % 
y = T(2:end,1);  %
Z = T(2:end,2:end);  % use fillmissing to fill NaNs
[X,Y] = meshgrid(x,y) ;
[xq,yq] = meshgrid(2:0.1:10);     % grid \ 0.1
Zq = interp2(x,y,Z,xq,yq,'spline'); % \ spline \

figure
AA = surf(xq,yq,Zq,'EdgeColor','none');
title('(spline,cubic,makima) Interpolation Using Finer Grid');

I tried 'AA = surf(xq,yq,Zq,'EdgeColor','none')' but I don't see the graph I want.

[kyungdoo lee]

I want this graph color

[Star Strider]

Use the turbo colormap. An alternative is the jet colormap, however it is not as consistent with respect to the normal spectral colours.