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Re: Fill Missing values with NaN [message #94672 is a reply to message #94666]

Fri, 11 August 2017 05:31

Matthew Argall
Messages: 286
Registered: October 2011

Senior Member

The example below works well with integer times. For floats, you should define "alltimes" as the beginning of the sampling interval and "times" as the center of the sampling interval. This is in-part because of how Value_Locate works and in-part because of the discreteness of floating point values.

;Time Arrays
time = [1, 4, 7, 8]
alltimes = IndGen(10)

;Data Arrays
dens = [80, 60, 30, 50]
densnew = Replicate( !Values.D_NaN, N_Elements(alltimes) )

;Locate "time" within "alltimes"
iTime = Value_Locate(alltimes, time)

;Fill the new density array
densnew[iTime] = dens

;Result
print, densnew, FORMAT='(10(f5.2, 2x))'
NaN 80.00 NaN NaN 60.00 NaN NaN 30.00 50.00 NaN

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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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