SciPy 0.6.0 API Documentation Generated by Endo, 2007-10-17

Class SciPy.​interpolate.​fitpack2.​BivariateSpline

Bivariate spline s(x,y) of degrees kx and ky on the rectangle
[xb,xe] x [yb, ye] calculated from a given set of data points
(x,y,z).

See also:

bisplrep, bisplev - an older wrapping of FITPACK
UnivariateSpline - a similar class for univariate spline interpolation
SmoothUnivariateSpline - to create a BivariateSpline through the 
                         given points
LSQUnivariateSpline - to create a BivariateSpline using weighted
                      least-squares fitting

Contents:
• Methods

Method summary

• __call__(self, x, y, mth = 'array')
• get_coeffs(self)
• get_knots(self)
• get_residual(self)

Methods

• __call__(self, x, y, mth = 'array')

  Evaluate spline at positions x,y.

• get_coeffs(self)

  Return spline coefficients.

• get_knots(self)

  Return a tuple (tx,ty) where tx,ty contain knots positions
  of the spline with respect to x-, y-variable, respectively.
  The position of interior and additional knots are given as
    t[k+1:-k-1] and t[:k+1]=b, t[-k-1:]=e, respectively.
  

• get_residual(self)

  Return weighted sum of squared residuals of the spline approximation: sum ((w[i]*(z[i]-s(x[i],y[i])))**2,axis=0)