[SciPy-User] Question regarding UnivariateSpline and splrep
Marcus Boumans
m.boumans@gmx....
Mon Jul 2 14:41:32 CDT 2012
Hello,
I want to calculate the derivates of a spline by using the features of
scipy.interpolate
I have found 2 possible ways:
The one with the oo approach
s_long = UnivariateSpline(distance,
gtaTrack_Container.reftrack.longitude, w=None, bbox=[None, None], k=2, s=0)
long_der=s_long.derivatives(dist_spline)
The other one with the procedural approach
tck_long = splrep(distance, gtaTrack_Container.reftrack.longitude)
long_der = spalde(dist_spline, tck_long)
My questions:
When using the oo approach with dist_spline is an array I get back an
array with only 3 elements.
I assume those values are the first to nth derivatives of element
dist_spline[0]!?
I this correct?
Using the procedural approach with dist_spline is an array I get back an
array with 3 colums and len(dist_spline) rows.
I assume those values are the first to nth derivate of each element of
dist_spline[0]!? That is what I would need.
I this correct?
Can anybody give a comment on that different behavior.
Am I to use a for loop to get the derivatives of all elements of
dist_spline with the oo approach?
I think it is worth to give a little more details in the help to the
derivates method of UnivariateSpline.
Regs
Marcus
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