How to change the scale of color bar to discrete ?

hi,

I have my contour plot like this figure,

I want to change the scale of colorbar to a discrete one with the scale value [ 0, 0.1 ,0.2 ,0.3 ,0.4 ,0.5 ,0.6 ,0.7 ,0.75 ,0.8 ,0.85, 0.9 ,1]

how to do it?

NOTE:-

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You can use a colormap that has duplicate colors wherever the spacing between the levels is 0.1:

x = [-7.22	-6.70	-6.19	-5.67	-5.15	-4.64	-4.12	-3.60	-3.09	-2.56	-2.04	-1.53	-1.00	-0.51	0.02	0.54	1.06	1.58	2.10	2.60	3.12	3.64	4.16	4.69	5.18	5.70	6.23	6.75	7.25];
y = [7.20	6.70	6.18	5.68	5.14	4.62	4.11	3.59	3.09	2.57	2.05	1.54	1.02	0.51	-0.01	-0.53	-1.03	-1.55	-2.07	-2.59	-3.09	-3.61	-4.14	-4.65	-5.16	-5.67	-6.19	-6.71	-7.22];
strain_12 = [0.48	0.64	0.66	0.7	0.68	0.72	0.76	0.78	0.9	0.88	0.86	0.82	0.88	0.84	0.9	0.88	0.9	0.86	0.88	0.82	0.82	0.8	0.8	0.78	0.76	0.72	0.7	0.68	0.64	0.5	0.64	0.66	0.76	0.68	0.76	0.76	0.78	0.82	0.82	0.8	0.8	0.82	0.84	0.88	0.84	0.86	0.84	0.86	0.8	0.78	0.74	0.72	0.74	0.74	0.72	0.72	0.68	0.64	0.54	0.7	0.68	0.76	0.7	0.68	0.7	0.74	0.76	0.72	0.8	0.86	0.84	0.9	0.92	0.86	0.88	0.86	0.86	0.84	0.8	0.76	0.74	0.7	0.7	0.74	0.72	0.7	0.68	0.48	0.68	0.72	0.74	0.72	0.7	0.7	0.76	0.82	0.82	0.86	0.88	0.84	0.88	0.88	0.88	0.86	0.88	0.9	0.94	0.9	0.86	0.82	0.78	0.76	0.76	0.76	0.76	0.7	0.48	0.66	0.7	0.68	0.7	0.72	0.7	0.74	0.76	0.76	0.82	0.88	0.84	0.84	0.86	0.8	0.82	0.84	0.82	0.88	0.88	0.9	0.88	0.82	0.76	0.78	0.74	0.8	0.72	0.48	0.66	0.68	0.66	0.7	0.78	0.8	0.82	0.82	0.8	0.84	0.9	0.92	0.86	0.84	0.8	0.82	0.82	0.82	0.86	0.92	0.9	0.88	0.82	0.76	0.76	0.74	0.78	0.7	0.5	0.62	0.54	0.56	0.64	0.78	0.86	0.82	0.82	0.82	0.78	0.82	0.86	0.82	0.8	0.82	0.82	0.82	0.8	0.82	0.84	0.82	0.78	0.78	0.74	0.72	0.68	0.7	0.64	0.52	0.62	0.54	0.58	0.64	0.76	0.84	0.82	0.8	0.82	0.8	0.82	0.84	0.84	0.84	0.82	0.8	0.78	0.76	0.76	0.76	0.76	0.76	0.72	0.74	0.7	0.68	0.7	0.7	0.48	0.6	0.58	0.62	0.66	0.76	0.86	0.8	0.78	0.8	0.78	0.82	0.84	0.84	0.82	0.82	0.8	0.8	0.78	0.76	0.78	0.78	0.8	0.76	0.74	0.72	0.7	0.72	0.68	0.48	0.62	0.66	0.7	0.74	0.74	0.78	0.72	0.74	0.74	0.74	0.8	0.76	0.78	0.78	0.8	0.76	0.74	0.74	0.78	0.78	0.8	0.78	0.76	0.74	0.78	0.76	0.8	0.72	0.46	0.62	0.7	0.76	0.76	0.78	0.82	0.72	0.76	0.74	0.76	0.78	0.76	0.76	0.82	0.82	0.78	0.76	0.78	0.82	0.78	0.8	0.78	0.8	0.78	0.78	0.78	0.76	0.68	0.44	0.6	0.7	0.72	0.7	0.7	0.68	0.68	0.74	0.72	0.74	0.72	0.72	0.74	0.78	0.82	0.82	0.82	0.8	0.82	0.78	0.82	0.78	0.8	0.74	0.74	0.7	0.7	0.62	0.44	0.64	0.72	0.7	0.7	0.68	0.64	0.72	0.76	0.8	0.8	0.76	0.76	0.78	0.78	0.8	0.8	0.78	0.76	0.76	0.78	0.8	0.78	0.78	0.76	0.72	0.72	0.68	0.64	0.4	0.62	0.7	0.72	0.72	0.68	0.66	0.72	0.72	0.76	0.78	0.74	0.78	0.82	0.8	0.8	0.8	0.78	0.76	0.74	0.8	0.78	0.76	0.74	0.72	0.68	0.68	0.66	0.64	0.42	0.58	0.68	0.72	0.76	0.72	0.7	0.74	0.76	0.76	0.74	0.74	0.74	0.78	0.76	0.78	0.78	0.8	0.78	0.76	0.78	0.74	0.72	0.74	0.7	0.7	0.72	0.7	0.7	0.38	0.52	0.62	0.68	0.7	0.72	0.74	0.8	0.8	0.82	0.76	0.76	0.76	0.76	0.8	0.78	0.76	0.78	0.78	0.76	0.76	0.74	0.76	0.76	0.74	0.76	0.72	0.7	0.68	0.36	0.5	0.62	0.66	0.72	0.78	0.8	0.82	0.78	0.78	0.7	0.74	0.76	0.74	0.8	0.76	0.72	0.78	0.78	0.78	0.8	0.82	0.78	0.76	0.72	0.74	0.72	0.72	0.7	0.38	0.54	0.62	0.64	0.7	0.76	0.74	0.8	0.8	0.8	0.74	0.8	0.8	0.76	0.82	0.76	0.76	0.8	0.82	0.8	0.84	0.86	0.82	0.78	0.74	0.78	0.74	0.72	0.72	0.4	0.6	0.66	0.66	0.7	0.7	0.7	0.76	0.74	0.76	0.74	0.76	0.84	0.82	0.84	0.78	0.8	0.82	0.84	0.8	0.82	0.82	0.76	0.74	0.74	0.78	0.7	0.66	0.66	0.44	0.64	0.7	0.66	0.66	0.64	0.68	0.72	0.7	0.76	0.76	0.78	0.82	0.8	0.8	0.82	0.84	0.82	0.8	0.82	0.8	0.8	0.76	0.74	0.74	0.72	0.7	0.66	0.66	0.46	0.66	0.74	0.72	0.66	0.68	0.7	0.68	0.66	0.72	0.76	0.8	0.86	0.86	0.82	0.84	0.82	0.78	0.78	0.84	0.84	0.78	0.78	0.76	0.74	0.72	0.72	0.64	0.68	0.48	0.68	0.78	0.78	0.72	0.74	0.76	0.74	0.68	0.64	0.72	0.8	0.84	0.9	0.84	0.84	0.8	0.8	0.84	0.88	0.88	0.82	0.76	0.78	0.76	0.68	0.7	0.68	0.7	0.42	0.62	0.74	0.74	0.74	0.76	0.78	0.78	0.8	0.78	0.84	0.86	0.86	0.9	0.86	0.84	0.82	0.8	0.86	0.9	0.92	0.84	0.84	0.82	0.8	0.74	0.74	0.72	0.72	0.36	0.56	0.66	0.72	0.76	0.74	0.8	0.8	0.8	0.78	0.84	0.82	0.8	0.86	0.84	0.8	0.8	0.8	0.84	0.88	0.9	0.86	0.82	0.82	0.8	0.74	0.72	0.72	0.72	0.3	0.48	0.58	0.6	0.64	0.68	0.72	0.74	0.78	0.8	0.8	0.78	0.76	0.82	0.82	0.78	0.78	0.78	0.8	0.84	0.86	0.84	0.82	0.78	0.78	0.74	0.72	0.74	0.72	0.28	0.44	0.58	0.64	0.7	0.72	0.72	0.7	0.72	0.76	0.76	0.82	0.8	0.88	0.84	0.8	0.74	0.74	0.74	0.84	0.82	0.8	0.8	0.8	0.76	0.74	0.68	0.66	0.66	0.32	0.48	0.62	0.66	0.7	0.7	0.72	0.74	0.76	0.76	0.76	0.8	0.8	0.86	0.86	0.84	0.74	0.74	0.74	0.82	0.82	0.82	0.78	0.78	0.8	0.74	0.7	0.66	0.68	0.32	0.5	0.66	0.72	0.74	0.8	0.8	0.8	0.8	0.78	0.8	0.84	0.86	0.88	0.92	0.9	0.84	0.78	0.84	0.9	0.9	0.9	0.84	0.84	0.82	0.78	0.74	0.68	0.66	0.34	0.54	0.7	0.74	0.76	0.8	0.78	0.78	0.8	0.78	0.8	0.82	0.84	0.9	0.96	0.96	0.9	0.84	0.86	0.9	0.86	0.88	0.82	0.82	0.82	0.76	0.76	0.74	0.68];
[a,b] = meshgrid(x,y);
gama_12 = reshape(strain_12,29,29);
shear = rescale(gama_12,0,1);
contourf(b,a,shear);
lvls = [ 0, 0.1 ,0.2 ,0.3 ,0.4 ,0.5 ,0.6 ,0.7 ,0.75 ,0.8 ,0.85, 0.9 ,1];
% find the indices where the level difference is "big" (0.1):
lvl_idx = find(diff(lvls) > 0.075); % (closer to 0.1 than to 0.05)
n_big = numel(lvl_idx);
% create a colormap with an extra color for each big level difference:
cmap = jet(numel(lvls)-1+n_big);
% change indices in lvls to indices in the colormap:
cmap_idx = lvl_idx;
for ii = 1:n_big
    cmap_idx(ii) = lvl_idx(ii) + nnz(lvl_idx <= lvl_idx(ii));
end
% duplicate the colors in the colormap at the big level indices:
cmap(cmap_idx,:) = cmap(cmap_idx-1,:);
% apply the colormap, create the colorbar, and set the ticks to lvls:
colormap(cmap);
cb = colorbar();
cb.Ticks = lvls;

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How to change the scale of color bar to discrete ?

How to change the scale of color bar to discrete ?