On Fri, Apr 17, 2009 at 4:14 AM, Christian K.
<ckkart@hoc.net> wrote:
Hi,
I am having problems with the spline functions from scipy.interpolate. Reading
the doc strings I expected the following to work:
from scipy.interpolate import splev,splrep
import numpy as N
x = N.linspace(-4,10,5)
y = x**2
t,c,l = splrep(x,y,xb=0,xe=4)
Traceback (most recent call last):
File "C:\pythonxy\python\lib\site-packages\scipy\interpolate\fitpack.py",
line 406, in splrep
n,c,fp,ier = dfitpack.curfit(task, x, y, w, t, wrk, iwrk, xb, xe, k, s)
error: (xb<=x[0]) failed for 1st keyword xb
The error message is telling you what the problem is. From the docstring:
Given the set of data points (x[i], y[i]) determine a smooth spline
approximation of degree k on the interval xb <= x <= xe.
You have values in your x array outside the interval [xb,xe].
Warren