- One way is to plot each data set individually so that they are only connected to each other. You can do it by seperating your data by checking the difference in their time values and then plotting
- Another alternative is to use ( '.' )argument in your plot function, which will create a dot at each data point without connecting them.
How to remove gaps in timeseries plot to have a continuous graph
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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.
3 comentarios
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.
Respuestas (2)
Alan Stevens
el 31 de Jul. de 2024
Include a NaN in the data list between each data set.
0 comentarios
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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