How to iterate over data sets?

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Daniela
Daniela 2024-6-17
编辑： Star Strider 2024-6-17
Hi everyone,
I am new to coding so please bare with me as I am trying my best.
I am trying to plot and iterate over different data sets, for example, I want to plot data points 1-10, skip over 11 and 12, and then plot the next 10, 13-23 and so on and so forth. This is what I have so far. Please let me know where I have gone wrong. Thank you.
filename = "Mydatasheet.csv";
opts = detectImportOptions('filepath\Mydatasheet.csv','.csv');
T = readtable("Mydatasheet.csv",opts);
dummy1 = table2array(:,1);
dummy2 = table2array(:,2);
for ii= 1: length(dummy,2)
plot(dummy1(1:10:230),dummy2(1:10:230));
end

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回答（2 个）

Star Strider
Star Strider 2024-6-17
编辑：Star Strider 2024-6-17
Ran in:
If you have the Signal Processing Toolbox, use the buffer function for this.
dummy1 = (1:60).'
dummy1 = 60x1
1 2 3 4 5 6 7 8 9 10
<mw-icon class=""></mw-icon>
<mw-icon class=""></mw-icon>
bfr1 = buffer(dummy1, 12);
disp(bfr1)
1 13 25 37 49 2 14 26 38 50 3 15 27 39 51 4 16 28 40 52 5 17 29 41 53 6 18 30 42 54 7 19 31 43 55 8 20 32 44 56 9 21 33 45 57 10 22 34 46 58 11 23 35 47 59 12 24 36 48 60
dummy1_out = bfr1(1:10,:)
dummy1_out = 10x5
1 13 25 37 49 2 14 26 38 50 3 15 27 39 51 4 16 28 40 52 5 17 29 41 53 6 18 30 42 54 7 19 31 43 55 8 20 32 44 56 9 21 33 45 57 10 22 34 46 58
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Otherwise, you can creatre your own limited version of it, for example —
bfr2 = bufr(dummy1, 12);
disp(bfr2)
1 13 25 37 49 2 14 26 38 50 3 15 27 39 51 4 16 28 40 52 5 17 29 41 53 6 18 30 42 54 7 19 31 43 55 8 20 32 44 56 9 21 33 45 57 10 22 34 46 58 11 23 35 47 59 12 24 36 48 60
dummy1_out = bfr2(1:10,:)
dummy1_out = 10x5
1 13 25 37 49 2 14 26 38 50 3 15 27 39 51 4 16 28 40 52 5 17 29 41 53 6 18 30 42 54 7 19 31 43 55 8 20 32 44 56 9 21 33 45 57 10 22 34 46 58
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function M = bufr(s,r)
% Star Strider's Emulation Of The Basic 'buffer' Function
% s = Signal Vector
% r = Desired number of rows
M = zeros(r,ceil(numel(s)/r));
M(1:numel(s)) = s;
end
EDIT — Corrected typographical errors.
EDIT — (17 Jun 2024 at 21:10)
Use the reshape functon to restore the edited ‘dummy1_out’ matrix to a column vector afterwards, so —
dummy1_out = reshape(dummy1_out, [],1);
disp(dummy1_out)
1 2 3 4 5 6 7 8 9 10 13 14 15 16 17 18 19 20 21 22 25 26 27 28 29 30 31 32 33 34 37 38 39 40 41 42 43 44 45 46 49 50 51 52 53 54 55 56 57 58
.
Hassaan
Hassaan 2024-6-17
编辑：Hassaan 2024-6-17
An initial idea adjust as per your data format and requirements.
Better to share your .csv file.
% Load data from the CSV file
filename = "Mydatasheet.csv";
opts = detectImportOptions(filename); % Corrected path
T = readtable(filename, opts);
% Convert table to array
dataArray = table2array(T);
% Separate columns for X and Y data
dummy1 = dataArray(:, 1); % Assuming first column is X data
dummy2 = dataArray(:, 2); % Assuming second column is Y data
% Initialize figure
figure;
hold on; % Hold on to plot multiple segments on the same figure
% Iterate over the data in chunks
chunkSize = 10; % Number of points in each segment
skipIndices = [11, 12]; % Indices to skip
for startIdx = 1:chunkSize+length(skipIndices):length(dummy1)
endIdx = startIdx + chunkSize - 1;
% Ensure we don't exceed the array bounds
if endIdx > length(dummy1)
endIdx = length(dummy1);
end
% Plot the current segment
plot(dummy1(startIdx:endIdx), dummy2(startIdx:endIdx), 'DisplayName', ['Segment ' num2str(startIdx)]);
end
% Add labels and legend
xlabel('X Data');
ylabel('Y Data');
title('Plot of Data Segments');
legend show;
hold off; % Release the hold

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