How to do pivot from table-type variable
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Hi,
I have this table-type data
tdata.yearID=[1950;1950;1950;1951;1951;1951;1951;1952;1952;1952];
tdata.cluster=[1;3;4;1;2;3;4;1;2;3];
tdata.GroupCount=[5;2;6;2;2;4;2;1;2;2];
tdata= struct2table( tdata)
tdata =
10×3 table
    yearID    cluster    GroupCount
    ______    _______    __________
     1950        1           5     
     1950        3           2     
     1950        4           6     
     1951        1           2     
     1951        2           2     
     1951        3           4     
     1951        4           2     
     1952        1           1     
     1952        2           2     
     1952        3           2
Currently I am using this code below to do pivot, but it was very slow for large data. Is there a way to vectorize this code?
[uniqYr, ~, JYr]= unique( tdata.yearID);
nEventData.yearID= [1: 2000]';
[ nEventData.cnt]= zeros( length(nEventData.yearID), 4);
for runYr= 1: length( uniqYr)
    indxYr= uniqYr( runYr);
    tloc  = (JYr== runYr);
    tt    = tdata( tloc, :);
    nEventData.cnt( indxYr, tt.cluster')= tt.GroupCount';        
end % for runYr
So results look like this for rows 1949-1955. Other rows have zeros.
nEventData.cnt (1949:1955,:)
ans =
     0     0     0     0
     5     0     2     6
     2     2     4     2
     1     2     2     0
     0     0     0     0
     0     0     0     0
     0     0     0     0
2 Comments
  Peter Perkins
    
 on 5 Oct 2018
				Pete, your code does not run and it's not at all clear what you want as your result. You are going to need to be much more clear.
  Peter Perkins
    
 on 5 Oct 2018
				The updated question and output clarify that unstack does what you need, as Steve suggests.
Accepted Answer
  Steven Lord
    
      
 on 5 Oct 2018
        The output you described looks somewhat like the first example in the documentation for the unstack function. I think what you want is something close to the pivotedTdata variable created by this example:
tdata.yearID=[1950;1950;1950;1951;1951;1951;1951;1952;1952;1952];
tdata.cluster=[1;3;4;1;2;3;4;1;2;3];
tdata.GroupCount=[5;2;6;2;2;4;2;1;2;2];
tdata= struct2table( tdata)
pivotedTdata = unstack(tdata, 'GroupCount', 'cluster')
You can retrieve data for a particular year this way:
pivotedTdata(pivotedTdata.yearID == 1950, :)
More Answers (1)
  Lola Davidson
    
 on 17 Mar 2023
        pivotedTable = pivot(tdata, Rows="yearID", Columns="cluster", DataVariable="GroupCount");
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