reshape matrix with diffrent size

3 Dec 2022
1 Answer
Answer Accepted
Updated 3 Dec 2022
4 Views (30 days)

0 votes

Hi
i have a matrix with 3 column X,Y Z
vecteur =[ 0 0 0
0 0.05 0
0 0.1 0
0 0.15 0
0 0.2 0
0 0.25 0
0 0.3 0
0 0.35 0
0 0.4 0
0 0.45 0
0 0.5 0
0 0.55 0
0 0.6 0
0 0.65 0
0 0.7 0
0 0.75 0
0 0.8 0
0 0.85 0
0 0.9 0
0 0.95 0
0 1 0
0.05 0 0
0.05 0.1 -0.015386
0.05 0.2 -0.029267
0.05 0.3 -0.040282
0.05 0.4 -0.047355
0.05 0.5 -0.049792
0.05 0.6 -0.047355
0.05 0.7 -0.040282
0.05 0.8 -0.029267
0.05 0.9 -0.015386
0.05 1 0
0.1 0 0
0.1 0.05 -0.015387
0.1 0.1 -0.030392
0.1 0.15 -0.044653
0.1 0.2 -0.057809
0.1 0.25 -0.069549
0.1 0.3 -0.079567
0.1 0.35 -0.087637
0.1 0.4 -0.093536
0.1 0.45 -0.097147
0.1 0.5 -0.09835
0.1 0.55 -0.097147
0.1 0.6 -0.093536
0.1 0.65 -0.087637
0.1 0.7 -0.079567
0.1 0.75 -0.069549
0.1 0.8 -0.057809
0.1 0.85 -0.044653
0.1 0.9 -0.030392
0.1 0.95 -0.015387
0.1 1 0
0.15 0 0
0.15 0.1 -0.044653
0.15 0.2 -0.084935
0.15 0.3 -0.1169
0.15 0.4 -0.13743
0.15 0.5 -0.1445
0.15 0.6 -0.13743
0.15 0.7 -0.1169
0.15 0.8 -0.084935
0.15 0.9 -0.044653
0.15 1 0
0.2 0 0
0.2 0.05 -0.029267
0.2 0.1 -0.057809
0.2 0.15 -0.084936
0.2 0.2 -0.10996
0.2 0.25 -0.13229
0.2 0.3 -0.15134
0.2 0.35 -0.1667
0.2 0.4 -0.17792
0.2 0.45 -0.18478
0.2 0.5 -0.18707
0.2 0.55 -0.18478
0.2 0.6 -0.17792
0.2 0.65 -0.1667
0.2 0.7 -0.15134
0.2 0.75 -0.13229
0.2 0.8 -0.10996
0.2 0.85 -0.084936
0.2 0.9 -0.057809
0.2 0.95 -0.029267
0.2 1 0
0.25 0 0
0.25 0.1 -0.069549
0.25 0.2 -0.13229
0.25 0.3 -0.18208
0.25 0.4 -0.21405
0.25 0.5 -0.22507
0.25 0.6 -0.21405
0.25 0.7 -0.18208
0.25 0.8 -0.13229
0.25 0.9 -0.069549
0.25 1 0
0.3 0 0
0.3 0.05 -0.040282
0.3 0.1 -0.079567
0.3 0.15 -0.1169
0.3 0.2 -0.15134
0.3 0.25 -0.18208
0.3 0.3 -0.20831
0.3 0.35 -0.22944
0.3 0.4 -0.24488
0.3 0.45 -0.25433
0.3 0.5 -0.25748
0.3 0.55 -0.25433
0.3 0.6 -0.24488
0.3 0.65 -0.22944
0.3 0.7 -0.20831
0.3 0.75 -0.18208
0.3 0.8 -0.15134
0.3 0.85 -0.1169
0.3 0.9 -0.079567
0.3 0.95 -0.040282
0.3 1 0
0.35 0 0
0.35 0.1 -0.087637
0.35 0.2 -0.1667
0.35 0.3 -0.22944
0.35 0.4 -0.26972
0.35 0.5 -0.2836
0.35 0.6 -0.26972
0.35 0.7 -0.22944
0.35 0.8 -0.1667
0.35 0.9 -0.087637
0.35 1 0
0.4 0 0
0.4 0.05 -0.047355
0.4 0.1 -0.093536
0.4 0.15 -0.13743
0.4 0.2 -0.17792
0.4 0.25 -0.21405
0.4 0.3 -0.24488
0.4 0.35 -0.26972
0.4 0.4 -0.28788
0.4 0.45 -0.29899
0.4 0.5 -0.30269
0.4 0.55 -0.29899
0.4 0.6 -0.28788
0.4 0.65 -0.26972
0.4 0.7 -0.24488
0.4 0.75 -0.21405
0.4 0.8 -0.17792
0.4 0.85 -0.13743
0.4 0.9 -0.093536
0.4 0.95 -0.047355
0.4 1 0
0.45 0 0
0.45 0.1 -0.097146
0.45 0.2 -0.18478
0.45 0.3 -0.25433
0.45 0.4 -0.29899
0.45 0.5 -0.31437
0.45 0.6 -0.29899
0.45 0.7 -0.25433
0.45 0.8 -0.18478
0.45 0.9 -0.097146
0.45 1 0
0.5 0 0
0.5 0.05 -0.049792
0.5 0.1 -0.09835
0.5 0.15 -0.1445
0.5 0.2 -0.18707
0.5 0.25 -0.22507
0.5 0.3 -0.25748
0.5 0.35 -0.2836
0.5 0.4 -0.30269
0.5 0.45 -0.31437
0.5 0.5 -0.31827
0.5 0.55 -0.31437
0.5 0.6 -0.30269
0.5 0.65 -0.2836
0.5 0.7 -0.25748
0.5 0.75 -0.22507
0.5 0.8 -0.18707
0.5 0.85 -0.1445
0.5 0.9 -0.09835
0.5 0.95 -0.049792
0.5 1 0
0.55 0 0
0.55 0.1 -0.097146
0.55 0.2 -0.18478
0.55 0.3 -0.25433
0.55 0.4 -0.29899
0.55 0.5 -0.31437
0.55 0.6 -0.29899
0.55 0.7 -0.25433
0.55 0.8 -0.18478
0.55 0.9 -0.097146
0.55 1 0
0.6 0 0
0.6 0.05 -0.047355
0.6 0.1 -0.093536
0.6 0.15 -0.13743
0.6 0.2 -0.17792
0.6 0.25 -0.21405
0.6 0.3 -0.24488
0.6 0.35 -0.26972
0.6 0.4 -0.28788
0.6 0.45 -0.29899
0.6 0.5 -0.30269
0.6 0.55 -0.29899
0.6 0.6 -0.28788
0.6 0.65 -0.26972
0.6 0.7 -0.24488
0.6 0.75 -0.21405
0.6 0.8 -0.17792
0.6 0.85 -0.13743
0.6 0.9 -0.093536
0.6 0.95 -0.047355
0.6 1 0
0.65 0 0
0.65 0.1 -0.087637
0.65 0.2 -0.1667
0.65 0.3 -0.22944
0.65 0.4 -0.26972
0.65 0.5 -0.2836
0.65 0.6 -0.26972
0.65 0.7 -0.22944
0.65 0.8 -0.1667
0.65 0.9 -0.087637
0.65 1 0
0.7 0 0
0.7 0.05 -0.040282
0.7 0.1 -0.079567
0.7 0.15 -0.1169
0.7 0.2 -0.15134
0.7 0.25 -0.18208
0.7 0.3 -0.20831
0.7 0.35 -0.22944
0.7 0.4 -0.24488
0.7 0.45 -0.25433
0.7 0.5 -0.25748
0.7 0.55 -0.25433
0.7 0.6 -0.24488
0.7 0.65 -0.22944
0.7 0.7 -0.20831
0.7 0.75 -0.18208
0.7 0.8 -0.15134
0.7 0.85 -0.1169
0.7 0.9 -0.079567
0.7 0.95 -0.040282
0.7 1 0
0.75 0 0
0.75 0.1 -0.069549
0.75 0.2 -0.13229
0.75 0.3 -0.18208
0.75 0.4 -0.21405
0.75 0.5 -0.22507
0.75 0.6 -0.21405
0.75 0.7 -0.18208
0.75 0.8 -0.13229
0.75 0.9 -0.069549
0.75 1 0
0.8 0 0
0.8 0.05 -0.029267
0.8 0.1 -0.057809
0.8 0.15 -0.084936
0.8 0.2 -0.10996
0.8 0.25 -0.13229
0.8 0.3 -0.15134
0.8 0.35 -0.1667
0.8 0.4 -0.17792
0.8 0.45 -0.18478
0.8 0.5 -0.18707
0.8 0.55 -0.18478
0.8 0.6 -0.17792
0.8 0.65 -0.1667
0.8 0.7 -0.15134
0.8 0.75 -0.13229
0.8 0.8 -0.10996
0.8 0.85 -0.084936
0.8 0.9 -0.057809
0.8 0.95 -0.029267
0.8 1 0
0.85 0 0
0.85 0.1 -0.044653
0.85 0.2 -0.084935
0.85 0.3 -0.1169
0.85 0.4 -0.13743
0.85 0.5 -0.1445
0.85 0.6 -0.13743
0.85 0.7 -0.1169
0.85 0.8 -0.084935
0.85 0.9 -0.044653
0.85 1 0
0.9 0 0
0.9 0.05 -0.015387
0.9 0.1 -0.030392
0.9 0.15 -0.044653
0.9 0.2 -0.057809
0.9 0.25 -0.069549
0.9 0.3 -0.079567
0.9 0.35 -0.087637
0.9 0.4 -0.093536
0.9 0.45 -0.097147
0.9 0.5 -0.09835
0.9 0.55 -0.097147
0.9 0.6 -0.093536
0.9 0.65 -0.087637
0.9 0.7 -0.079567
0.9 0.75 -0.069549
0.9 0.8 -0.057809
0.9 0.85 -0.044653
0.9 0.9 -0.030392
0.9 0.95 -0.015387
0.9 1 0
0.95 0 0
0.95 0.1 -0.015386
0.95 0.2 -0.029267
0.95 0.3 -0.040282
0.95 0.4 -0.047355
0.95 0.5 -0.049792
0.95 0.6 -0.047355
0.95 0.7 -0.040282
0.95 0.8 -0.029267
0.95 0.9 -0.015386
0.95 1 0
1 0 0
1 0.05 0
1 0.1 0
1 0.15 0
1 0.2 0
1 0.25 0
1 0.3 0
1 0.35 0
1 0.4 0
1 0.45 0
1 0.5 0
1 0.55 0
1 0.6 0
1 0.65 0
1 0.7 0
1 0.75 0
1 0.8 0
1 0.85 0
1 0.9 0
1 0.95 0
1 1 0];
and i want to plot surf or contour or mesh with interpolation
a want this forme
i try this
X=vecteur(:,1);
Y=vecteur(:,2);
Z=vecteur(:,3);
GNN=length(X);
[xx,yy]=meshgrid(X,Y);
axis_x = -1/2:.02:1/2;
axis_y = -1/2:.02:1/2;
[xxx,yyy] = meshgrid(axis_x,axis_y);
Vect_zero = zeros(GNN,GNN);
% i know that i must use reshape for vector Z , but i dont know how
% cause Z is not reggulaire , sometime is 19 betwin 2 zero and somtimes 9 betwin 2 zero
% so i dont know how can i use N or reshape
Vect_zero = reshape(Z,N,N);
% i need to interpolate
Vect_interpol = interp2(xx,yy,Vect_zero,xxx,yyy,'cubic');
contour(axis_x,axis_y,Vect_interpol,-0.9:0.2:0.9);
or meshc(xxx,yyy,Vect_interpol);
someone can help
please

Sign in to answer this question.

 Accepted Answer

Voss
Voss on 3 Dec 2022
Ran in:

0 votes

Ran in:
load('vecteur.mat') % stored vecteur in a mat file, to avoid defining it in the code again here
SI = scatteredInterpolant(vecteur(:,1),vecteur(:,2),vecteur(:,3));
[X,Y] = meshgrid(unique(vecteur(:,1)),unique(vecteur(:,2)));
surf(X,Y,SI(X,Y))

3 Comments
Show 1 older comment Hide 1 older comment

alize beemiel
alize beemiel on 3 Dec 2022
oh .. really
you save me ...
thank you.. thank you .. thank you
its so cool
thank you sir
Voss
Voss on 3 Dec 2022
You're welcome!
scatteredInterpolant is good to use in this case, since the x- and y-coordinates have that irregular behavior (i.e., "sometime is 19 betwin 2 zero and somtimes 9 betwin 2 zero").

Sign in to comment.

More Answers (0)

Categories

Find more on Interpolation in Help Center and File Exchange

Tags

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!