No degradation color on the 3D plot

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Lasfitri Rosanty Sinaga
编辑： Rajeev 2023-2-24
I need more help please. I want to plot 3D function (x,y,z), the result is actually right (around xe-4 until xe-2) but there is no degradation color on my plot that showing the limit line for z-variable. Is the mistake on the Lmin Lmax Input?
So much thanks in advance!
%sensitivity analysis
%lifetime and efficiency
lifetime=linspace(30,5,20);
efficiency=linspace(0.3,0.05,20);
l=length(lifetime);
e=length(efficiency);
H2MSAeff=zeros(l,e);
for i=1:e
for j=1:l
[aa]=H2MSA_conversion(lifetime(j),efficiency(i), msaprice);
plot_H2MSA_conversion=[aa];
H2MSAeff(i,j)=plot_H2MSA_conversion(key);
end
end
efficiency=efficiency*100;
[Lifetime,Efficiency,H2MSAeff]=griddata(lifetime,efficiency,H2MSAeff,linspace(min(lifetime),...
max(lifetime),100)',linspace(min(efficiency),max(efficiency),100),'linear');
if figurekey==1
Lmin=min(min(H2MSAeff));Lmax=max(max(H2MSAeff));
L=[Lmin,0.00001,0.0001,0.0002,0.0004,0.001,Lmax];
L=roundn(L,-1);
[C,h]=contourf(Lifetime,Efficiency,H2MSAeff,L,'ShowText','on','color','white');
clabel(C,h,'FontSize',13,'Color','w'); %Set curve label font size
colorbar;
colormap(parula);
xlabel('Lifetime(year)');
ylabel('STH Efficiency(%)');
m = get(gca,'XTickLabel'); % Set font size of axis
set(gca,'XTickLabel',m,'fontsize',13);
end
if figurekey~=1
end
  1 个评论
Divyanshu
Divyanshu 2023-2-23
Can you provide more information regarding the values of the variables and functions called, so that it would be easier to reproduce the issue?

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回答（1 个）

Rajeev
Rajeev 2023-2-24
编辑：Rajeev 2023-2-24
It seems like the issue might be with the way the contour levels are set using:
% Original contour levels
L=[Lmin,0.00001,0.0001,0.0002,0.0004,0.001,Lmax];
The values in L are all very close to each other and may not give you the desired colour degradation. You can try changing the values in L to have a larger range, for example,
% Contour levels with larger spacing in between
L=[Lmin,0.0001,0.001,0.01,0.1,1,Lmax];.
Also, the colormap can be adjusted to better represent the range of values in your data. For example, you can try using the ‘jet’ colormap instead of ‘parula’ by changing colormap(parula) to colormap(jet).

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