How to iterate over data sets?

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 

Answer 1

[Star Strider]

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

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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

.

Answer 2

[Hassaan]

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