How to remove gaps in timeseries plot to have a continuous graph

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Sachin Hegde
Sachin Hegde el 31 de Jul. de 2024
Comentada: Sachin Hegde el 31 de Jul. de 2024
Hello Everyone,
I have a timeseries data from a vehicle having gaps in it. FOr example, when the vehicle was running, there is data, but no data is available when the vehicle is turned off. When i plot now, the missig data is filled witha line connecting last measured data to the next measured data (see figure). How can i remove that line and instead have a continuous line.
I highly appreciate for any efforts.
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Stephen23
Stephen23 el 31 de Jul. de 2024
"How can i remove that line and instead have a continuous line."
It is already a continuous line.
Your requirement is unclear.
Sachin Hegde
Sachin Hegde el 31 de Jul. de 2024
Hi Stephan, sorry for my miscommunication. I just want to chop that connecting line and join the data before and after. I hopw thins is a better explaination of the requirement.

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Respuestas (2)

Alan Stevens
Alan Stevens el 31 de Jul. de 2024
Include a NaN in the data list between each data set.

Pavan Sahith
Pavan Sahith el 31 de Jul. de 2024
Editada: Pavan Sahith el 31 de Jul. de 2024
Hello Sachin ,
It appears you are trying to handle gaps in your time series data and prevent MATLAB from connecting the missing data points with a line,
you can try replacing the gaps with NaN values. When you plot the data, MATLAB will automatically break the line at these NaN values, resulting in a plot where only continuous data points are connected.
Here's an example using some sample data:
% Sample data with gaps
time = [1, 2, 3, 7, 8, 9, 15, 16, 17]; % Time points
data = [10, 12, 15, 20, 18, 22, 25, 24, 27]; % Corresponding data points
% Introduce gaps in the data
data_with_gaps = data;
data_with_gaps([4, 7]) = NaN; % Assuming data points at time 7 and 15 are missing
% Plot the data
figure;
plot(time, data_with_gaps, '-o');
xlabel('Time');
ylabel('Data');
title('Time Series Data with Gaps');
grid on;
This approach might help, that your plot accurately reflects the discontinuities in your data, providing a clearer visualization of periods where the vehicle was turned off.
you can refer to the following MathWorks documentation to know more
Hope this helps you in moving forward
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