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Re: Fill Missing values with NaN [message #94670 is a reply to message #94666]

Thu, 10 August 2017 23:51

Helder Marchetto
Messages: 520
Registered: November 2011

Senior Member

I don't get the question. So I will just suggest the use of the function finite() to check for not-NaN values in densnew. This will give you the valid indices.

valInd = finite(densnew)

times_fromAlltimes = alltimes[valInd]
dens_fromDensnew = densnew[valInd]

Hope it helps.
Helder

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[Message index]

		Fill Missing values with NaN By: idlusr on Thu, 10 August 2017 12:00
		Re: Fill Missing values with NaN By: idlusr on Thu, 10 August 2017 12:03
		Re: Fill Missing values with NaN By: Helder Marchetto on Thu, 10 August 2017 23:51
		Re: Fill Missing values with NaN By: Matthew Argall on Fri, 11 August 2017 05:31

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