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I created a a contour plot and I would like to make the range between -50 and 0 different than the range 0 and 50 as below. Anway to help please

[X,Y] = meshgrid(10:5:80,0:1:20);

Z = f([X(:), Y(:)]);

Z1 = reshape(Z,[21,15]);

figure

contour(X,Y,Z1,15000)

colormap hsv

colorbar

xlabel('\gamma (%)')

ylabel('\lambda (%)')

zlabel('m^{*}_{NPV} ($B)')

Sudheer Bhimireddy
on 8 Aug 2020

Try this function:

Sudheer Bhimireddy
on 9 Aug 2020

First, your cmap array will be of size Nx3.

If I understand you correctly, you want to show the variation between 0 and 50, but not from 50 to 300.

If you have the indices for 0 and 50, you can edit the cmap array between the corresponding indices to show the variation and then can have same color for thereafter. Also know, that sometimes limiting the coloraxis (caxis([cmin cmax])) could be useful. If you want anyvalue after 50 to have the same color then caxis([min(z) 50]) will do the trick.

For Option 1, colormapeditor is a gui based method, so it is purely manual.

Walter Roberson
on 9 Aug 2020

The above function requires that the positions be defined in relative terms, 0 to 1, rather than in absolute terms. You would have to decide ahead of time what your caxis() is going to be, and use proportional positions through that range,

relative_position = (data_x - min_to_map)./(max_to_map - min_to_map)

Yaser Khojah
on 12 Aug 2020

Oh I’m sorry I just added the xsl for you since I though I can’t upload the mat file.

Walter Roberson
on 12 Aug 2020

levels = [-700 -600 -500 -400 -300 -200 -100 -50 -40 -30 -20 -10 0 10 20 30 40 50 100 200 300];

[a,b] = contourf(X, Y, Z1, levels);

This will not in itself create new colormap entries for the various levels, but it will outline them more clearly.

To create new colormap entries, you have to follow the strategy I outlined above, of creating a colormap with replicated slots.

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