I have a bigmatrix that is sorted. However, I need to re-order it as per the order of IDs in another matrix (col. 1 here for both matrices
). How can I do this using vectorization? Eg:
bigmat = [ ...
1 10 ;
1 30 ;
1 40 ;
2 1 ;
2 11 ;
3 58 ;
4 2 ;
4 5 ] ;
ordermat = [ 2 ; 1 ; 4 ; 3 ; 6] ; % Integer IDs
finalans = [ ...
2 1 ;
2 11 ;
1 10 ;
1 30 ;
1 40 ;
4 2 ;
4 5 ;
3 58 ; ] ;
It is possible that all some IDs (integers here) in ordermat
may not be present in bigmat. They can be ignored as shown above with id = 6
. Thanks!
B = sort( A ) sorts the elements of A in ascending order. If A is a vector, then sort(A) sorts the vector elements. If A is a matrix, then sort(A) treats the columns of A as vectors and sorts each column.
B = sortrows( A , column ) sorts A based on the columns specified in the vector column . For example, sortrows(A,4) sorts the rows of A in ascending order based on the elements in the fourth column.
The SORTROWS function offers the ability to sort the rows of a matrix in descending order by specifying a negative value for the appropriate column in the second argument to the function.
Here is my solution:
ordermat = [2; 1; 4; 3; 6];
bigmat = [
1 10
1 30
1 40
2 1
2 11
3 58
4 2
4 5
];
%#bigmat = sortrows(bigmat,1);
%# keep valid IDs,
ord = ordermat( ismember(ordermat,bigmat(:,1)) );
ord = grp2idx(ord);
%# starting/ending locations of the different IDs in bigmat
startInd = find( diff([0;bigmat(:,1)]) );
endInd = [startInd(2:end)-1; size(bigmat,1)];
%# generate startInd(i):endInd(i) intervals
ind = arrayfun(@colon, startInd, endInd, 'UniformOutput',false);
%# order then combine the intervals of indices
ind = [ind{ord}];
%# get final sorted result
finalans = bigmat(ind,:);
I made sure it handles different cases like:
ordermat
contains IDs not found in bigmat
: ordermat = [2;1;4;3;6]
bigmat
are represented in ordermat
: ordermat = [2;1]
ordermat=ordermat+10; bigmat=bigmat+10;
%# Input values:
bigmat = [1 10; 1 30; 1 40; 2 1; 2 11; 3 58; 4 2; 4 5];
ordermat = [ 2 ; 1 ; 4 ; 3 ; 6] ;
%# Make a look-up table that tells us the relative order for each order id
sortmat(ordermat) = 1:length(ordermat);
%# Extract the order ID's from the big matrix
keys = bigmat(:,1);
%# Get the new ordering
new_key = sortmat(keys);
%# Sort the new ordering, remembering the permutation necessary
[~, permutation] = sort(new_key);
%# Apply the permutation to the big matrix
finalans = bigmat(permutation, :);
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