interpolation - Matlab spline function in Julia -


i trying interpolate 2 points in julia, using same approach of matlab (https://uk.mathworks.com/help/matlab/ref/spline.html). have tried interpolations (https://github.com/tlycken/interpolations.jl) library, having several issues in creating working script.

i have dataarrays.dataarray{float64,1} 2 points (let's 1.5 , 10.5) , 5 na between them:

using dataframes using interpolations  = @data([1.5, na, na, na, na, na, 10.5]);

in matlab sufficient run spline function. in julia, interpolate function allows cubic interpolations. however, seems not working nas. how can it? also, use same / analogous algorithm interpolate points?

if make assumption evenly spaced, assuming linear interpolation can use linspace. need start, end, , number of values inbetween:

linspace(a[1],a[end],sum(isna(a)))

more generally, interpolation between nas, can find non-na values with

idxs = find(~isna(a))

and do

for in 1:length(idxs)-1   tmpidxs = idxs[i]:idxs[i+1]   a[idxs[i]+1:idxs[i+1]-1] = linspace(a[idxs[i]],a[idxs[i+1]],length(tmpidxs))[2:end-1] end

you can clean or put in function if want. it's odd assumption though assume between each known value it's supposed linearly spaced.


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