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Error in setdiff function

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Sagar Gupta
Sagar Gupta 2021 年 7 月 7 日
回答済み: Bhavya Chopra 2021 年 7 月 8 日
Hi,
I have been tryin to use setdiff on two tables. There is a specific double column which contains NaN values and multiple rows which are same in both the tables. While using setdiff the rows that contains NaN in a specific column in both the tables comes as a difference between two tables, which should not happen. Both the rows are exactly same and the setdiff is considering NaN from same cells as different values. Is there a solution to this problem? Is there any other method to get the difference between the rows?

採用された回答

Bhavya Chopra
Bhavya Chopra 2021 年 7 月 8 日
I understand that you want to find the difference between two rows. NaN values are not considered equal, and the logical inequality test, (NaN ~= NaN), also returns true. The documentation for function setdiff specifies that it treats NaN values as distinct.
You might find the isequaln function to be useful to determine array equality, which treats NaN values as equal to each other, and returns a logical value.
As another work-around to Are Mjaavatten's answer, to obtain the difference between rows, you can also use the following approach:
a = [3 4 5 NaN NaN]; % Considering two example vectors
b = [3 NaN];
a_temp = a(~isnan(a)); % Removing NaN values using isnan() function
b_temp = b(~isnan(b));
setdiff(a_temp, b_temp) % Using setdiff to obtain difference

その他の回答 (1 件)

Are Mjaavatten
Are Mjaavatten 2021 年 7 月 8 日
編集済み: Are Mjaavatten 2021 年 7 月 8 日
One workaround is to replace all NaNs with some spceific value that is not present in your data, say -9999:
>> S1 = [1,2,3,NaN,5,6];S2 =[2,3,5,NaN];
>> setdiff(S1,S2)
ans =
1 6 NaN
>> S1(isnan(S1)) = -9999;S2(isnan(S2)) = -9999;
>> setdiff(S1,S2)
ans =
1 6
>> S1(S1==-9999) =NaN;S2(S2==-9999) = NaN; % Restore originals
  1 件のコメント
Are Mjaavatten
Are Mjaavatten 2021 年 7 月 8 日
This function hopefully does what yout want:
function S = setdiffn(S1,S2)
dummy = rand;
while any(ismember(union(S1,S2),dummy))
dummy = rand; % Make sure dummy is not present in sets
end
S1(isnan(S1)) = dummy;S2(isnan(S2)) = dummy;
S = setdiff(S1,S2);
end

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