plotting data with different dimension in a 2d line plot

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Stefi 2024-4-4

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回答： Star Strider 2024-4-6

I have to plot 2d line plot. the x axis has a scalar value from which are [0, 10, 20, 30, 40, 50] and the y axis data is an array of dimension 1x30. i want to plot these data for 3 different types of load values in a single plot. how to plot these data when the data on x and y are of different dimension?

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Dyuman Joshi 2024-4-4

"how to plot these data when the data on x and y are of different dimension?"

You can't. You will have to modify the data to be of same dimensions for plotting.

That modification depends on how the x-values and y-values are related.

Stefi 2024-4-6

that make sense. Thanks

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Answer 1

Gayatri 2024-4-4

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Hi Stefi,

To plot data where the x-axis values are scalars and the y-axis data consists of an array with a different dimension, you need to determine how the x values correspond to the y values.
Since your y-axis data is an array of dimension 1x30 and you have 6 x-axis scalar values, it seems like you might be dealing with a situation where the y-axis data should be segmented or grouped in some way to correspond to each x-axis value.
Assuming each x-axis scalar value corresponds to a group of 5 y-axis values (since 30 divided by 6 equals 5), you can plot the data by averaging these groups or by selecting a representative value for each group.
However, since you mentioned plotting these data for 3 different types of load values in a single plot, let's assume you have three 1x30 arrays for three different loads.

Here is a general approach to plotting this data in MATLAB:

% Example data
x = [0, 10, 20, 30, 40, 50];
y1 = rand(1, 30); % Example y-axis data for Load Type 1
y2 = rand(1, 30); % Example y-axis data for Load Type 2
y3 = rand(1, 30); % Example y-axis data for Load Type 3
% Number of values per group
valuesPerGroup = length(y1) / length(x);
% Preallocate arrays for the mean values
meanY1 = zeros(1, length(x));
meanY2 = zeros(1, length(x));
meanY3 = zeros(1, length(x));
% Calculate mean values for each group
for i = 1:length(x)
    startIndex = (i-1) * valuesPerGroup + 1;
    endIndex = i * valuesPerGroup;
    meanY1(i) = mean(y1(startIndex:endIndex));
    meanY2(i) = mean(y2(startIndex:endIndex));
    meanY3(i) = mean(y3(startIndex:endIndex));
end
% Plotting
figure;
plot(x, meanY1, '-o', 'DisplayName', 'Load Type 1');
hold on;
plot(x, meanY2, '-x', 'DisplayName', 'Load Type 2');
plot(x, meanY3, '-s', 'DisplayName', 'Load Type 3');
hold off;
xlabel('X-axis Scalar Values');
ylabel('Mean Y-axis Values');
title('Plot of Mean Y Values for Different Load Types');
legend('show');

This script segments the y-axis data into groups corresponding to each x-axis scalar, calculates the mean of each segment, and then plots these mean values. The hold on; command is used to ensure all three load types are plotted on the same figure.

Please refer the below documentation for hold on: https://in.mathworks.com/help/matlab/ref/hold.html

I hope it helps!