Python interp1d vs. UnivariateSpline

Question

I\'m trying to port some MatLab code over to Scipy, and I\'ve tried two different functions from scipy.interpolate, interp1d and UnivariateSpline. The interp1d results matc

Answer 1

Works for me,

from scipy import allclose, linspace
from scipy.interpolate import interp1d, UnivariateSpline

from numpy.random import normal

from pylab import plot, show

n = 2**5

x = linspace(0,3,n)
y = (2*x**2 + 3*x + 1) + normal(0.0,2.0,n)

i = interp1d(x,y,kind=3)
u = UnivariateSpline(x,y,k=3,s=0)

m = 2**4

t = linspace(1,2,m)

plot(x,y,'r,')
plot(t,i(t),'b')
plot(t,u(t),'g')

print allclose(i(t),u(t)) # evaluates to True

show()

This gives me,