How do I do an outer join of tables with conditional ranges on Key variables?

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I have two tables and would like to perform an outer join operation on them with a conditional tolerance on matching the values in the Key Variable Columns. Let's say I have the following two tables:
Range = [1.1 1.8 6.3 5.2 11.1 0.9]';
Codes = categorical(["a", "b", "c", "d", "e", "f"])';
Tleft = table(Range, Codes)
RefRange = [1 6 11]';
RefCodes = categorical(["a1", "c1", "e1"])';
Tright = table(RefRange,RefCodes)
I would like to do an outerjoin to connect the variables of Tright to the variables of Tleft when abs(RefRange-Range) <= 0.5.
My desired output would look something like this:
RefRange = [1 NaN 6 NaN 11 1]';
RefCodes = categorical(["a1", "undefined", "c1", "undefined","e1","a1"])';
T_desired = table(Range,Codes,RefRange,RefCodes)
  2 件のコメント
Stephen23
Stephen23 2024 年 9 月 22 日
編集済み: Stephen23 2024 年 9 月 22 日
It would be nice if OUTERJOIN had an option for a match function (default=EQ).
What should happen if there are two or more matches?
Richard Lavery
Richard Lavery 2024 年 9 月 22 日
I agree. I was hoping there as a solution that did not involve iterating through a loop.

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採用された回答

Animesh
Animesh 2024 年 9 月 22 日
To perform custom outer join, you will need to iterate over each row in "Tleft" and find matching rows in "Tright" based on the tolerance condition "abs(RefRange - Range) <= 0.5". Here is the sample code snippet for the same:
% Initialize variables for the desired output
matchedRefRange = NaN(height(Tleft), 1);
matchedRefCodes = categorical(repmat("undefined", height(Tleft), 1));
for i = 1:height(Tleft)
matchIdx = find(abs(Tright.RefRange - Tleft.Range(i)) <= 0.5, 1);
if ~isempty(matchIdx)
matchedRefRange(i) = Tright.RefRange(matchIdx);
matchedRefCodes(i) = Tright.RefCodes(matchIdx);
end
end
T_desired = table(Tleft.Range, Tleft.Codes, matchedRefRange, matchedRefCodes, ...
'VariableNames', {'Range', 'Codes', 'RefRange', 'RefCodes'});

その他の回答 (1 件)

Venkat Siddarth Reddy
Venkat Siddarth Reddy 2024 年 9 月 22 日
Hi Richard,
To achieve this, you can perform a condition-based join operation through a iterative process over "Tleft" and "Tright" variables.
Please refer to the following code snippet to achieve the outer join for the provided tables:
% Provided Data
Range = [1.1 1.8 6.3 5.2 11.1 0.9]';
Codes = categorical(["a", "b", "c", "d", "e", "f"])';
Tleft = table(Range, Codes);
RefRange = [1 6 11]';
RefCodes = categorical(["a1", "c1", "e1"])';
Tright = table(RefRange, RefCodes);
RefRange_out = NaN(size(Range));
RefCodes_out = categorical(repmat("undefined", size(Range)));
tolerance = 0.5;
for i = 1:height(Tleft)
for j = 1:height(Tright)
if abs(Tleft.Range(i) - Tright.RefRange(j)) <= tolerance
RefRange_out(i) = Tright.RefRange(j);
RefCodes_out(i) = Tright.RefCodes(j);
break; % Assuming only the first match is needed
end
end
end
T_desired = table(Range, Codes, RefRange_out, RefCodes_out)
T_desired = 6x4 table
Range Codes RefRange_out RefCodes_out _____ _____ ____________ ____________ 1.1 a 1 a1 1.8 b NaN undefined 6.3 c 6 c1 5.2 d NaN undefined 11.1 e 11 e1 0.9 f 1 a1
I hope it helps!
Regards
Venkat Siddarth V

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