def bisplev(x, y, tck, dx=0, dy=0):
"""Evaluate a bivariate B-spline and its derivatives.
Description:
Return a rank-2 array of spline function values (or spline derivative
values) at points given by the cross-product of the rank-1 arrays x and y.
In special cases, return an array or just a float if either x or y or
both are floats. Based on BISPEV from FITPACK.
Inputs:
x, y -- Rank-1 arrays specifying the domain over which to evaluate the
spline or its derivative.
tck -- A sequence of length 5 returned by bisplrep containing the knot
locations, the coefficients, and the degree of the spline:
[tx, ty, c, kx, ky].
dx, dy -- The orders of the partial derivatives in x and y respectively.
Outputs: (vals, )
vals -- The B-pline or its derivative evaluated over the set formed by
the cross-product of x and y.
Remarks:
SEE bisprep to generate the tck representation.
See also:
splprep, splrep, splint, sproot, splev - evaluation, roots, integral
UnivariateSpline, BivariateSpline - an alternative wrapping
of the FITPACK functions
Notes:
Based on algorithms from:
Dierckx P. : An algorithm for surface fitting with spline functions
Ima J. Numer. Anal. 1 (1981) 267-283.
Dierckx P. : An algorithm for surface fitting with spline functions
report tw50, Dept. Computer Science,K.U.Leuven, 1980.
Dierckx P. : Curve and surface fitting with splines, Monographs on
Numerical Analysis, Oxford University Press, 1993.
"""
tx, ty, c, kx, ky = tck
if not (0 <= dx < kx):
raise ValueError, "0<=dx=%d<kx=%d must hold" % (dx, kx)
if not (0 <= dy < ky):
raise ValueError, "0<=dy=%d<ky=%d must hold" % (dy, ky)
x, y = map(myasarray, [x, y])
if (len(x.shape) != 1) or (len(y.shape) != 1):
raise ValueError, "First two entries should be rank-1 arrays."
z, ier = _fitpack._bispev(tx, ty, c, kx, ky, x, y, dx, dy)
if ier == 10: raise ValueError, "Invalid input data"
if ier: raise TypeError, "An error occurred"
z.shape = len(x), len(y)
if len(z) > 1: return z
if len(z[0]) > 1: return z[0]
return z[0][0]
def bisplev(x,y,tck,dx=0,dy=0):
"""Evaluate a bivariate B-spline and its derivatives.
Description:
Return a rank-2 array of spline function values (or spline derivative
values) at points given by the cross-product of the rank-1 arrays x and y.
In special cases, return an array or just a float if either x or y or
both are floats. Based on BISPEV from FITPACK.
Inputs:
x, y -- Rank-1 arrays specifying the domain over which to evaluate the
spline or its derivative.
tck -- A sequence of length 5 returned by bisplrep containing the knot
locations, the coefficients, and the degree of the spline:
[tx, ty, c, kx, ky].
dx, dy -- The orders of the partial derivatives in x and y respectively.
Outputs: (vals, )
vals -- The B-pline or its derivative evaluated over the set formed by
the cross-product of x and y.
Remarks:
SEE bisprep to generate the tck representation.
See also:
splprep, splrep, splint, sproot, splev - evaluation, roots, integral
UnivariateSpline, BivariateSpline - an alternative wrapping
of the FITPACK functions
Notes:
Based on algorithms from:
Dierckx P. : An algorithm for surface fitting with spline functions
Ima J. Numer. Anal. 1 (1981) 267-283.
Dierckx P. : An algorithm for surface fitting with spline functions
report tw50, Dept. Computer Science,K.U.Leuven, 1980.
Dierckx P. : Curve and surface fitting with splines, Monographs on
Numerical Analysis, Oxford University Press, 1993.
"""
tx,ty,c,kx,ky=tck
if not (0<=dx<kx): raise ValueError,"0<=dx=%d<kx=%d must hold"%(dx,kx)
if not (0<=dy<ky): raise ValueError,"0<=dy=%d<ky=%d must hold"%(dy,ky)
x,y=map(myasarray,[x,y])
if (len(x.shape) != 1) or (len(y.shape) != 1):
raise ValueError, "First two entries should be rank-1 arrays."
z,ier=_fitpack._bispev(tx,ty,c,kx,ky,x,y,dx,dy)
if ier==10: raise ValueError,"Invalid input data"
if ier: raise TypeError,"An error occurred"
z.shape=len(x),len(y)
if len(z)>1: return z
if len(z[0])>1: return z[0]
return z[0][0]
def bisplev(x,y,tck,dx=0,dy=0):
"""
Evaluate a bivariate B-spline and its derivatives.
Return a rank-2 array of spline function values (or spline derivative
values) at points given by the cross-product of the rank-1 arrays x and
y. In special cases, return an array or just a float if either x or y or
both are floats. Based on BISPEV from FITPACK.
Parameters
----------
x, y : ndarray
Rank-1 arrays specifying the domain over which to evaluate the
spline or its derivative.
tck : tuple
A sequence of length 5 returned by `bisplrep` containing the knot
locations, the coefficients, and the degree of the spline:
[tx, ty, c, kx, ky].
dx, dy : int, optional
The orders of the partial derivatives in `x` and `y` respectively.
Returns
-------
vals : ndarray
The B-spline or its derivative evaluated over the set formed by
the cross-product of `x` and `y`.
See Also
--------
splprep, splrep, splint, sproot, splev
UnivariateSpline, BivariateSpline
Notes
-----
See `bisplrep` to generate the `tck` representation.
References
----------
.. [1] Dierckx P. : An algorithm for surface fitting
with spline functions
Ima J. Numer. Anal. 1 (1981) 267-283.
.. [2] Dierckx P. : An algorithm for surface fitting
with spline functions
report tw50, Dept. Computer Science,K.U.Leuven, 1980.
.. [3] Dierckx P. : Curve and surface fitting with splines,
Monographs on Numerical Analysis, Oxford University Press, 1993.
"""
tx,ty,c,kx,ky=tck
if not (0<=dx<kx): raise ValueError,"0<=dx=%d<kx=%d must hold"%(dx,kx)
if not (0<=dy<ky): raise ValueError,"0<=dy=%d<ky=%d must hold"%(dy,ky)
x,y=map(myasarray,[x,y])
if (len(x.shape) != 1) or (len(y.shape) != 1):
raise ValueError, "First two entries should be rank-1 arrays."
z,ier=_fitpack._bispev(tx,ty,c,kx,ky,x,y,dx,dy)
if ier==10: raise ValueError,"Invalid input data"
if ier: raise TypeError,"An error occurred"
z.shape=len(x),len(y)
if len(z)>1: return z
if len(z[0])>1: return z[0]
return z[0][0]
def bisplev(x, y, tck, dx=0, dy=0):
"""
Evaluate a bivariate B-spline and its derivatives.
Return a rank-2 array of spline function values (or spline derivative
values) at points given by the cross-product of the rank-1 arrays x and
y. In special cases, return an array or just a float if either x or y or
both are floats. Based on BISPEV from FITPACK.
Parameters
----------
x, y : ndarray
Rank-1 arrays specifying the domain over which to evaluate the
spline or its derivative.
tck : tuple
A sequence of length 5 returned by `bisplrep` containing the knot
locations, the coefficients, and the degree of the spline:
[tx, ty, c, kx, ky].
dx, dy : int, optional
The orders of the partial derivatives in `x` and `y` respectively.
Returns
-------
vals : ndarray
The B-spline or its derivative evaluated over the set formed by
the cross-product of `x` and `y`.
See Also
--------
splprep, splrep, splint, sproot, splev
UnivariateSpline, BivariateSpline
Notes
-----
See `bisplrep` to generate the `tck` representation.
References
----------
.. [1] Dierckx P. : An algorithm for surface fitting
with spline functions
Ima J. Numer. Anal. 1 (1981) 267-283.
.. [2] Dierckx P. : An algorithm for surface fitting
with spline functions
report tw50, Dept. Computer Science,K.U.Leuven, 1980.
.. [3] Dierckx P. : Curve and surface fitting with splines,
Monographs on Numerical Analysis, Oxford University Press, 1993.
"""
tx, ty, c, kx, ky = tck
if not (0 <= dx < kx):
raise ValueError("0 <= dx = %d < kx = %d must hold" % (dx, kx))
if not (0 <= dy < ky):
raise ValueError("0 <= dy = %d < ky = %d must hold" % (dy, ky))
x, y = map(myasarray, [x, y])
if (len(x.shape) != 1) or (len(y.shape) != 1):
raise ValueError("First two entries should be rank-1 arrays.")
z, ier = _fitpack._bispev(tx, ty, c, kx, ky, x, y, dx, dy)
if ier == 10:
raise ValueError("Invalid input data")
if ier:
raise TypeError("An error occurred")
z.shape = len(x), len(y)
if len(z) > 1: return z
if len(z[0]) > 1: return z[0]
return z[0][0]