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I need code for processing of table data
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I have a table of values I need in it only those rows of values for which the values of the number in the second column are at a distance of 0.0001 (plus or minus 0.00009) from each other. How to implement this in matlab?
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/1298075/image.png)
3 Comments
Walter Roberson
on 16 Feb 2023
That is not clear. Should the 2.1169 on row 7 be grouped with the 2.1168's on row 8 and 9, and should the group also include the 2.1167 of row 10, on the basis that each row in the group would be within the specific distance from at least one other row in the group ?
So should the groups be divided into distinct subsets each of which exclude all entries that are more than the specified distance from some member of the group?
Or is the grouping to be such that the members of any one group are all within the specified distance from each other? And if so, then what should you do with A B C if B is within the specified distance from A, and B is within the specified distance from C but C is too far from A? Should that lead to the creation of two groups, [A, B] and [B,C] ??
Dmitry
on 17 Feb 2023
Moved: Walter Roberson
on 17 Feb 2023
I will try to explain with an example:
we start from B2, if mod(B2 - B3) < 0.404 we delete A3B3 and continue to compare B2 with B(i), if B2 - B(i) >= 0.404 we leave this element (A(i)B(i)) fixed on it and similarly move down the table.
I attached the table to the comment
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/1298555/image.png)
Dmitry
on 17 Feb 2023
Walter Roberson, as a result, we should get a shortened table, as I wrote above.
Answers (3)
Oguz Kaan Hancioglu
on 17 Feb 2023
After reading the excel, you can use the diff command to find the difference between elements of an array. Please note that since diff (diff(x)) finds the difference the array length is equal = length(x) -1. You may need to add 1 to find the real location. You can see the result. You can arrange your condition for your problem.
load('Data_vector.mat')
diffVec = abs(diff(c(:,2))) ;
find(diffVec <= 0.0001)
ans = 1770×1
2
3
4
5
6
7
8
9
10
11
4 Comments
Walter Roberson
on 17 Feb 2023
4, 6, 8, 9, 10 are not prime numbers??
Or are you saying that you expect that the mathematics work out such that 2, 3, 7, and 11 will never be detected by the algorithm ?
Walter Roberson
on 17 Feb 2023
Index the data at the result of find() to get the shorter table.
Oguz Kaan Hancioglu
on 20 Feb 2023
In addition you can create custom conditions for your needs. For example, in order to find the values between 0.00009 and 0.0001 you can imply following code,
load('Data_vector.mat')
diffVec = abs(diff(c(:,2))) ;
xVector = diffVec <= 0.0001;
yVector = diffVec > 0.00009;
desiredVector = and(xVector,yVector);
for i = 1:length(desiredVector)
if (desiredVector(i))
fprintf('%d \t index: %f \t %f table element distance smaller than previous one.\n',i,c(i,1),c(i,2));
end
end
139 index: 1.482164 2.240678 table element distance smaller than previous one.
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Image Analyst
on 17 Feb 2023
This is a perfect situation for dbscan, if you have the Statistics and Machine Learning Toolbox. Use dbscan to find collections of points that are all within some specified distance of each other. Then you can extract the different classes that were found into new variables containing only the numbers from those classes where all the numbers are close to each other. Give it a try.
Voss
on 17 Feb 2023
"we start from B2, if mod(B2 - B3) < 0.404 we delete A3B3 and continue to compare B2 with B(i), if B2 - B(i) >= 0.404 we leave this element (A(i)B(i)) fixed on it and similarly move down the table."
Assuming that mod(B2 - B3) means abs(B2 - B3), try this:
format longG
S = load('Data_vector');
c = S.c;
d = 0.404;
ii = 2;
while ii < size(c,1)
if abs(c(ii+1,2) - c(ii,2)) < d
c(ii+1,:) = [];
else
ii = ii + 1;
end
end
disp(c)
0 874
2 2.11720602320851
0.735871743486974 2.5217086702088
1.74869739478958 2.92603749911282
0 856
2 3.19165165021604
1.025250501002 3.60216524206979
0.606412825651303 4.00667273307903
0 616
2 4.28115304395541
1.19659318637275 4.69862662310897
0 10948
2 5.30183213946769
1.23466933867735 5.71142154466949
0.758806656795153 6.12424849699399
1.52785571142285 6.54751942633208
1.02905811623246 6.95179358048678
0.914829659318637 7.35859538449461
1.29178356713427 7.77727534261792
0.92625250501002 8.18695170418768
1.04809619238477 8.59161482076668
1.16993987975952 9.00287568951791
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1.92927214249325 6.32064128256513
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1.13918311806814 42.6533066132264
0 9
0.940492199535513 75.2545090180361
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