scipy.interpolate.BivariateSpline

class scipy.interpolate.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

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

Methods

__call__(x, y[, mth])	Evaluate spline at positions x,y.
ev(xi, yi)	Evaluate spline at points (x[i], y[i]), i=0,...,len(x)-1
get_coeffs()	Return spline coefficients.
get_knots()	Return a tuple (tx,ty) where tx,ty contain knots positions of the spline with respect to x-, y-variable, respectively.
get_residual()	Return weighted sum of squared residuals of the spline
integral(xa, xb, ya, yb)	Evaluate the integral of the spline over area [xa,xb] x [ya,yb].