How can I use one row having full data whose elements repeat [like A(:,1) below] to query another data of the same type but having some elements missing?

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I have this array say
A =
[0 10
0 20
1 30
1 40
2 50
2 60
3 70
3 80
4 90
4 100
5 10
5 20]
-----------------------------------
B =
[0 110
0 210
1 300
1 405
2 606
3 707
3 801
4 100
5 204]
I want A and B to have the same length by comparing and inserting 'NAN' to rows in B that are missing.
Thus to produce an output like this where the NAN is inserted;
B =
[0 110
0 210
1 300
1 405
NAN NAN
2 606
3 707
3 801
NAN NAN
4 100
NAN NAN
5 204]
Thank you in advance :)

采纳的回答

Vinayak Choyyan
Vinayak Choyyan 2023-2-6
编辑:Vinayak Choyyan 2023-2-6
Hi Stephen,
As per my understanding, you would like the match the elements of B with values given in a vector A. There can be repetition and in such cases, we look for the next unmatched data. But as per the output provided by you, NaN needs to come before the matches for a given element in A. That is if A has [ 1 1 1] and B has [1 100; 1 200] then output should be [NaN NaN; 1 100; 2 100].
The following code assumes that A and B are in sorted order like in the example you provided. Hope this helps solve the issue you are facing.
a=[0 0 1 1 2 2 3 3 4 4 5 5]'; % a(:,1) in question
b=[0 110;0 210; 1 300; 1 405; 2 606; 3 707; 3 801;4 100; 5 204];
btmp=b;
final=zeros(length(a),2);%assign memory, same size as A
for i=1:length(a)
idx=find(btmp(:,1)==a(i),1);
if(length(idx)==1)
%if match then add it to final and remove from b temp
value=btmp(idx,:);
final(i,:)=value;
btmp(idx,:)=[];
else
j=i;
%if not found in current b temp but existed in b temp before, then
%shift previous elements down and add NaN at the top. This code
%does assume that the elements are in order like in the example. if
%not, modify the below while loop to shift values accordingly. Or
%you can remove the while loop entirely and how NaN be added after
%values are exhausted.
%{
That is the output will look like
0 110
0 210
1 300
1 405
2 606
NaN NaN
3 707
3 801
4 100
NaN NaN
5 204
NaN NaN
instead of
0 110
0 210
1 300
1 405
NaN NaN
2 606
3 707
3 801
NaN NaN
4 100
NaN NaN
5 204
like you had asked for.
%}
while j>1 && final(j-1,1)==a(i)
final(j,:)=final(j-1,:);
j=j-1;
end
final(j,:)=[NaN, NaN];
end
end
b=final
  3 个评论
Vinayak Choyyan
Vinayak Choyyan 2023-2-6
@Stephen Tete Thank you for having tried my code.
I notice that the code in the accepted answer will fail if length of A is an odd number. For example if
A = [0 10; 0 20; 0 20; 1 30; 1 40; 2 50; 2 60; 3 70; 3 80; 4 90; 4 100; 5 10; 5 20];
you would get an array index bounds exceeded exception.
If this does effect your use case, you may consider modifying your code.
Stephen Tete
Stephen Tete 2023-2-6
编辑:Stephen Tete 2023-2-6
@Vinayak Choyyan yes I did notice that nevertheless, the data at hand has an even distribution of elements
In the parent and query rows hence it does the job. I'm glad you pointed it out. Your code seem rubust in both ways after trial. Thanks.

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更多回答(1 个)

Dyuman Joshi
Dyuman Joshi 2023-2-6
编辑:Dyuman Joshi 2023-2-6
A = [0 10; 0 20; 0 25; 1 30; 1 40; 2 50; 2 60; 3 70; 3 80; 4 90; 4 100; 5 10; 5 20; 5 35];
B = [0 110; 0 210; 1 300; 1 405; 2 606; 3 707; 3 801; 4 100; 5 204];
sA=size(A);
sB=size(B);
B = [B; NaN(sA(1)-sB(1),sB(2))];
for idx=1:sA(1)
if A(idx,1)~=B(idx,1)
ct=find(B(:,1)==A(idx,1),1);
B=B([1:ct-1 end ct:end-1],:); %shifting NaN row
end
end
B
B = 14×2
NaN NaN 0 110 0 210 1 300 1 405 NaN NaN 2 606 3 707 3 801 NaN NaN
Note - You should ideally use tolerance to compare two values, abs(val1-val2)<tol

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