For repeating values in a column calculate the corresponding adjacent columns
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Hi,
I have a table T with 3 columns to make it simple:
There there is a repeat value in column 1 I would like to calculate the max of the values in column 2, min of the values in column 3 for all corresponding values of col 1 (where the same value was found) and regenerate the table without the repeat values in col 1 and the results as calculated previosly for cols 2 and 3. The number of reps in col 1 can be >2:
Thanks.
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Arif Hoq
am 4 Mär. 2022
Bearbeitet: Arif Hoq
am 4 Mär. 2022
A=[1 233 456;2 3434 565; 3 4545 2323; 4 4595 595; 4 121 343; 5 1212 4145]; % assume A is table
B=diff(A(:,1));
[idx]=find(B==0);
A(idx,:)=[] % delete the row with same value
or
A1=[1 233 456;2 3434 565; 3 4545 2323; 4 4595 595; 4 121 343; 5 1212 4145]; % assume A is table
[C,ia,ic]=unique(A1(:,1),'rows','stable');
output=A1(ia,:)
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Weitere Antworten (1)
Davide Masiello
am 4 Mär. 2022
Bearbeitet: Davide Masiello
am 4 Mär. 2022
I have expanded it for cases where there are multiple repeated values.
clear,clc
A = [[(1:6)';(6:10)';(10:14)';(14:20)'],rand(23,1),rand(23,1)]
l0 = find(~diff(A(:,1)));
for i = 1:length(l0)
A(l0(i),2) = max(A(l0(i),2),A(l0(i)+1,2));
A(l0(i),3) = min(A(l0(i),3),A(l0(i)+1,3));
end
A(l0+1,:) = []
The result you get from this code is
% Before code
A =
1 0.74618 0.080281
2 0.11749 0.36047
3 0.50902 0.82891
4 0.16883 0.21461
5 0.83111 0.79104
6 0.92801 0.65469
6 0.16948 0.026146
7 0.88374 0.78578
8 0.38786 0.92256
9 0.38257 0.49231
10 0.27145 0.83401
10 0.86788 0.13135
11 0.7415 0.75978
12 0.44787 0.92574
13 0.70964 0.83271
14 0.94433 0.2594
14 0.17412 0.21302
15 0.2446 0.52231
16 0.64093 0.39736
17 0.80861 0.47911
18 0.85337 0.9939
19 0.39812 0.60448
20 0.11549 0.94491
% After code
A =
1 0.74618 0.080281
2 0.11749 0.36047
3 0.50902 0.82891
4 0.16883 0.21461
5 0.83111 0.79104
6 0.92801 0.026146
7 0.88374 0.78578
8 0.38786 0.92256
9 0.38257 0.49231
10 0.86788 0.13135
11 0.7415 0.75978
12 0.44787 0.92574
13 0.70964 0.83271
14 0.94433 0.21302
15 0.2446 0.52231
16 0.64093 0.39736
17 0.80861 0.47911
18 0.85337 0.9939
19 0.39812 0.60448
20 0.11549 0.94491
3 Kommentare
Davide Masiello
am 4 Mär. 2022
In the file you gave T is a structure with one field (also named T, which is a table).
At the beginning of your code, write
A=table2array(T.T);
then the rest of the code will work fine.
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