def __call__(self, x, nu=0):
""" Evaluate spline (or its nu-th derivative) at positions x.
Note: x can be unordered but the evaluation is more efficient
if x is (partially) ordered.
"""
# if nu is None:
# return dfitpack.splev(*(self._eval_args+(x,)))
# return dfitpack.splder(nu=nu,*(self._eval_args+(x,)))
return fitpack.splev(x, self._eval_args, der=nu)
def __call__(self, x, nu=0):
""" Evaluate spline (or its nu-th derivative) at positions x.
Note: x can be unordered but the evaluation is more efficient
if x is (partially) ordered.
"""
x = np.asarray(x)
# empty input yields empty output
if x.size == 0:
return array([])
# if nu is None:
# return dfitpack.splev(*(self._eval_args+(x,)))
# return dfitpack.splder(nu=nu,*(self._eval_args+(x,)))
return fitpack.splev(x, self._eval_args, der=nu)
def __call__(self, x, nu=0):
""" Evaluate spline (or its nu-th derivative) at positions x.
Note: x can be unordered but the evaluation is more efficient
if x is (partially) ordered.
"""
x = np.asarray(x)
# empty input yields empty output
if x.size == 0:
return array([])
# if nu is None:
# return dfitpack.splev(*(self._eval_args+(x,)))
# return dfitpack.splder(nu=nu,*(self._eval_args+(x,)))
return fitpack.splev(x, self._eval_args, der=nu)