[Scilab-users] Time Series

[Rafael Guerra]

Hi,

If your data is stored in matrix s=s(i,j), with i-index along space and j-along time, with dt-sampling rate and t0 being the series starting time, then you may try something like:

[Nx,Nt]=size(s);
for i=1:Nx
   plot(t0+(0:Nt-1)*dt, s(i, : ));
end

If the series' start times depend on the x-axis, then you need to define a vector t0=t0(i).

Regards,
Rafael

From: users [mailto:users-bounces at lists.scilab.org] On Behalf Of Gerhard Kreuzer
Sent: Thursday, August 18, 2016 7:40 PM
To: users at lists.scilab.org
Subject: [Scilab-users] Time Series

Hi,

what do I have:
Lot of floating point data, converted from ADC samples, äquidistant with a knowen sampling rate/sampling distance.

What o I want:
Plot a diagram, values over time.

This sounds like a common use case.

As far as I saw, I need value pairs to plot the data, but it makes no sense to generate  the time data. As I have a lot of data, this causes a 'data explosion'.
Is there a smarter way to do this?

Is there some function where I can feed in my data-vector and define a point at the x/time-axis and than the data is plotted accordinly?

With best regards

Gerhard

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