Replying to myself...sorry. It seems that the easiest way for now is to call SciPy:
using PyCall @pyimport scipy.interpolate as interpolate t = collect(0:.1:1) x = sin(2π*t) y = cos(2π*t) p = Array[] push!(p, x) push!(p, y) tck, u = interpolate.splprep(p, s=0) unew = collect(0:0.01:1) out = interpolate.splev(unew, tck) using Winston plot(x, y, "o", out[1], out[2], "-r") BTW, is there an easier way to create an array of vectors? Cheers, Kaj On Saturday, March 19, 2016 at 4:13:19 PM UTC+2, Kaj Wiik wrote: > > > Is there a Julia package that implements parametric splines? > > I noticed that the Dierckx Fortran library has an implementation but the > corresponding Julia package does not does not have bindings for it. > > Thanks, > Kaj >
