def spalde(x,tck):
"""Evaluate all derivatives of a B-spline.
Description:
Given the knots and coefficients of a cubic B-spline compute all
derivatives up to order k at a point (or set of points).
Inputs:
tck -- A length 3 sequence describing the given spline (See splev).
x -- A point or a set of points at which to evaluate the derivatives.
Note that t(k) <= x <= t(n-k+1) must hold for each x.
Outputs: (results, )
results -- An array (or a list of arrays) containing all derivatives
up to order k inclusive for each point x.
See also:
splprep, splrep, splint, sproot, splev - evaluation, roots, integral
bisplrep, bisplev - bivariate splines
UnivariateSpline, BivariateSpline - an alternative wrapping
of the FITPACK functions
"""
t,c,k=tck
try:
c[0][0] # check if c is >1-d
parametric = True # it is
except TypeError: parametric = False # c is 1-d
if parametric:
return map(lambda c,x=x,t=t,k=k:spalde(x,[t,c,k]),c)
else:
try: x=x.tolist()
except:
try: x=list(x)
except: x=[x]
if len(x)>1:
return map(lambda x,tck=tck:spalde(x,tck),x)
c = c.copy()
c.resize(len(t))
d,ier=dfitpack.spalde(t,c,k,x[0])
if ier==0: return d
if ier==10:
raise TypeError,"Invalid input data. t(k)<=x<=t(n-k+1) must hold."
raise TypeError,"Unknown error"
def derivatives(self, x):
""" Return all derivatives of the spline at the point x."""
d, ier = dfitpack.spalde(*(self._eval_args + (x, )))
if not ier == 0:
raise ValueError("Error code returned by spalde: %s" % ier)
return d
def derivatives(self, x):
""" Return all derivatives of the spline at the point x."""
d, ier = dfitpack.spalde(*(self._eval_args + (x,)))
assert ier == 0, ` ier `
return d
def derivatives(self, x):
""" Return all derivatives of the spline at the point x."""
d,ier = dfitpack.spalde(*(self._eval_args+(x,)))
if not ier == 0:
raise ValueError("Error code returned by spalde: %s" % ier)
return d
def derivatives(self, x):
""" Return all derivatives of the spline at the point x."""
d,ier = dfitpack.spalde(*(self._eval_args+(x,)))
assert ier==0,`ier`
return d
