I need help rearranging values in a 2D Matrix to create contour plots

I need to rearrange UM, VM, and tkeMean to a 2D Matrix and have X,Y value corresponding in the X and Y values match tkeMean, UM, VM. I also need to create contour plots for UM, VM, and tkeMean. When I run my code I get the error "Z must be at least a 2x2 matrix" attached below is my code:

clc;clear;
Uall=[];
Vall=[];
for i=0:798
    temp_L=importdata(['Final Project Adaptive PIV.76m7uaui.', num2str(i,'%06d') ,'.txt']);
    inst_L=temp_L.data; 
    Uall(:,i+1)=inst_L(:,3)';
    Vall(:,i+1)=inst_L(:,4)';
    disp(i);
end

X=inst_L(:,1);
Y=inst_L(:,2);

UM=mean(Uall,2);
VM=mean(Vall,2);

UPrime = Uall-UM;
VPrime = Vall-VM; 

TKEall = 0.5*((UPrime.*UPrime)+(VPrime.*VPrime));
tkeMean = mean(TKEall,2); 

x = (unique(X));
y = (unique(Y));

[x,y] = meshgrid(x,y);

contourf(x,y,tkeMean)

Answer 1

[Zaitun]

You can try this code in this section and edit the code like

% x = (unique(X));
% y = (unique(Y));
[x,y] = meshgrid(X,Y); % change the x and y to be X and Y

because the size of x and y is different with tkeMean.

I hope this answer is worth it. I'am wait your respond about it

[Manuel Salazar]

tkeMean is a 6624x1 double so i used the reshape function to mold it into a 2x2 matrix. When I applied the reshape function to tkeMean it became a 3312x2 double. Now when I run the code I get the error "The size of X must match must match the size of Z or the number of columns of Z". x is a 6624x6624 double. Here is my current code:

clc;clear;

Uall=[];

Vall=[];

for i=0:798

temp_L=importdata(['Final Project Adaptive PIV.76m7uaui.', num2str(i,'%06d') ,'.txt']);

inst_L=temp_L.data;

Uall(:,i+1)=inst_L(:,3)';

Vall(:,i+1)=inst_L(:,4)';

disp(i);

end

X=inst_L(:,1);

Y=inst_L(:,2);

UM=mean(Uall,2);

VM=mean(Vall,2);

UPrime = Uall-UM;

VPrime = Vall-VM;

TKEall = 0.5*((UPrime.*UPrime)+(VPrime.*VPrime));

tkeMean = mean(TKEall,2);

A = tkeMean;

B = reshape(A, [], 2);

x = (unique(X));

y = (unique(Y));

[x,y] = meshgrid(X,Y);

contourf(x,y,B)

Answer 2

[Voss]

Try this:

clc;clear;
Uall=[];
Vall=[];
for i=0:798
    temp_L=importdata(['Final Project Adaptive PIV.76m7uaui.', num2str(i,'%06d') ,'.txt']);
    inst_L=temp_L.data; 
    Uall(:,i+1)=inst_L(:,3)';
    Vall(:,i+1)=inst_L(:,4)';
    disp(i);
end

X=inst_L(:,1);
Y=inst_L(:,2);

UM=mean(Uall,2);
VM=mean(Vall,2);

UPrime = Uall-UM;
VPrime = Vall-VM; 

TKEall = 0.5*((UPrime.*UPrime)+(VPrime.*VPrime));
tkeMean = mean(TKEall,2); 

x = unique(X);
y = unique(Y);

contourf(x,y,reshape(tkeMean,numel(y),[]))

If that doesn't work, change the last line to this:

contourf(x,y,reshape(tkeMean,numel(x),[]).')

If that doesn't work, upload one of your .txt files (using the paperclip button).