I need a picture of a graph similar to the one I posted

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');

I need a graph that changes this graph to the following shape, regardless of the exact value.

Of course the overall shape should be the same

Answer 1

[Star Strider]

Add these calls after the surf call —

colormap(turbo)

shading('interp')

The surf plot should then be close to what appears to be the desired result.

T = readmatrix('https://www.mathworks.com/matlabcentral/answers/uploaded_files/796594/data1.xlsx') ;

T = 7×9

NaN 2.0000 3.0000 4.0000 6.0000 8.0000 10.0000 12.0000 17.5000 2.0000 0.0070 0.0054 0.0044 0.0039 0.0038 0.0039 0.0040 0.0038 3.0000 0.0073 0.0074 0.0058 0.0044 0.0038 0.0035 0.0036 0.0035 4.0000 0.0076 0.0073 0.0073 0.0053 0.0039 0.0035 0.0032 0.0030 6.0000 0.0070 NaN 0.0069 0.0071 0.0051 0.0039 0.0030 0.0023 8.0000 0.0064 NaN 0.0064 0.0063 0.0062 0.0047 0.0034 0.0018 10.0000 0.0057 NaN 0.0058 0.0057 0.0059 0.0058 0.0043 0.0018

% 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

Warning: Columns of data containing NaN values have been ignored during interpolation.

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

See the documnetation on the shading function for more information.

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