How to normalize output data for a plot
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Giovanni Ponce on 29 Jun 2022
I want to normalize the the y-axis of a plot. The current limits for the graph are set from 0 to 30 on the y-axis, how would I normalize the output data of the simulink model being 'sim_data.Pd'? Could it be possible to use the Normalize function for this?
NIVEDITA MAJEE on 29 Jun 2022
You can use the ‘normalize’ function to normalize the output data. In the line 71 you can replace it with
plot(t_sim, normalize(sim_data.Pd, 'range'), 'r', 'LineWidth', 1.2);
The “normalize(sim_data.Pd, 'range')” will normalize your data between 0 and 1.
I have used the piece of code in the attached screenshot, and instead of simulated datapoints I have used “rand function” to generate random numbers to be used later for plotting.
Here is the code and later you can also find the generated plot with the code:
sim_data = 20*rand(10,2); %using rand function to generate a 10x2 matrix of random numbers between 0 and 20
t_sim = linspace(0,1,10); %creating a vector with 10 evenly spaced values between 0 to 1
set(gca, 'FontSize', 10);
plot(t_sim, normalize(sim_data(:,1), 'range'), 'b', 'LineWidth', 1.2);
plot(t_sim, normalize(sim_data(:,2), 'range'), 'r', 'LineWidth', 1.2);
legend('Pset', 'Pd', 'Orientation', 'horizontal', 'location', 'southwest')
For more information on the normalize function, refer to the following link:
More Answers (1)
Aman Banthia on 29 Jun 2022
Seems like you can normalize the data using the normalize function. But there is no method named 'sim_data' there are a fixed set of data you can normalize using this function.
Refer to the following MATLAB document to know about the Normalization Methods of the normalize function: