Hi all,
I worked with the time series of the sea level data (non-tidal residual. thus, there is no periodicity in the time series. could you please help me to do interpolation because it contains some NaN values.
Thank you in advance.

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Kelly Kearney
Kelly Kearney am 28 Jul. 2016

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A little more explanation of what you're trying to do is needed here. Are you trying to interpolate from scattered data to a regular grid? If so, your best option is probably to drop the NANs prior to interpolation. Or do you want to fill in some of the missing spots in an already-gridded dataset? Or something else?

6 Kommentare

John BG
John BG am 29 Jul. 2016
I was about to write something, but found
does it work for your question? if it doesn't let know to see what can else be done.
John D'Errico
John D'Errico am 29 Jul. 2016
Yes, inpaint_nans does work on 1-d data. So, given a vector of values as a time series, some of which are NaNs, it will interpolate the NaNs. It will also extrapolate if there are NaNs at one or both ends.
Lilya
Lilya am 29 Jul. 2016
Kelly, yes. I have to fill the missing values in the array.
Lilya
Lilya am 29 Jul. 2016
Johns', It does not work. I tried it already.
Again, can you give a little more detail? Just saying "it doesn't work" doesn't help us, since inpaint_nans should be exactly what you need:
% Some fake data with missing points
x = 1:100;
y = sin(x/pi);
y(rand(100,1)> 0.8) = NaN;
% Fill the NaNs
y2 = inpaint_nans(y);
% Plot
plot(x, y, '-x', x, y2, ':')
Lilya
Lilya am 29 Jul. 2016
THANKX a lot.

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