Colormap based on order in heatmap

I am working on a heatmap to visualize specific test results. The data consists of 10 values between 0 and 0.1 which are not normally distributed:

0.0920200000000000 0.0926500000000000 0.0960900000000000 0.0955800000000000 0.0931500000000000

0.0942300000000000 0.0963800000000000 0.0938100000000000 0.0936100000000000 0.0926700000000000

I am looking for a way to heatmap these values and color them according to their position in the order hierarchy.

[Up_sort,Up_sort_I] = sort(Current_up_means,'descend');

A = [flip( ...
    Current_up_means(6:10));
    Current_up_means(1:5)];

A = figure();
heatmap(A,"Colormap",ndvi_colormap);

This results in the following var:

Up_sort_I = 2 7 8 6 1 3 9 4 10 5

Now my goal is to color the values according to their rank just like Excel does in Conditional formatting from rank 1 to 10 Green to Red. So not based on value but simply on its place within that dataset hierarchy. So how can i use Up_sort_I as an input for the color while maintaining the vizualized original values? It is important that the values remain in their original position as im visualizing production defects.

[Joep van de Ven]

managed to fix it with imagesc()