how to extract rows has a same value in column 1 and plot until those rows of column 2 and 3?
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Hi everyone, I have a matrix with repeated values in the 1st column, for example:
A = [
1 15 43;
2 05 64;
2 13 32;
3 11 35;
3 01 20;
3 -15 08;
4 46 742;
4 25 234;
..........;]--- let say, there are 2500 rows and repetition values are 2000.
Using A, I am looking to extract data from the 2nd and 3rd column for each value in the 1st column to output B and plot it. Where repetition occurs for a value in the 1st column, the corresponding values in the 2nd and 3rd column are to be plotted (that means 2000 graphs). until end of rows.
I have attempted to use a combination of find functions, if statements and loops, but without success. Ideally, a successful approach would also be efficient, as the actual dataset is large.
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Ameer Hamza
il 23 Apr 2018
You can create a cell array of the separated element as
unique_element = unique(A(:,1));
seperate = cell(numel(unique_element), 1);
for i=1:numel(unique_element)
index = A(:,1)==unique_element(i);
seperate{i} = A(index, 2:3);
end
The separated values are stored in variable seperate which is a cell array. You can access its values as seperate{1}, seperate{2}, ... or loop through the entire array using for loop and do whatever manipulation or visualization you want on them.
6 Commenti
Ameer Hamza
il 30 Apr 2018
diff() should one reduce a dimension by one. You might be making some other mistake. Also, it is better to start a new question, as it different from current question. You will have a better chance of getting a quick answer if more people see your question
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Guillaume
il 23 Apr 2018
If all you want to do is plot the two columns against each other according to the first column, and assuming that the first column is made of integers from 1 to N without any gap (doesn't have to be ordered though), then this is probably the easiest:
figure;
hold on;
splitapply(@plot, A(:, 2), A(:, 3), A(:, 1));
If the first column is not made of integers or has gaps in the integer values, then a findgroup first will work around that:
figure;
hold on;
g = findgroups(A(:, 1));
splitapply(@plot, A(:, 2), A(:, 3), g);
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