scipy.interpolate.BivariateSpline¶
-
class
scipy.interpolate.
BivariateSpline
[source]¶ Base class for bivariate splines.
This describes a spline
s(x, y)
of degreeskx
andky
on the rectangle[xb, xe] * [yb, ye]
calculated from a given set of data points(x, y, z)
.This class is meant to be subclassed, not instantiated directly. To construct these splines, call either
SmoothBivariateSpline
orLSQBivariateSpline
.See also
UnivariateSpline
- a similar class for univariate spline interpolation
SmoothBivariateSpline
- to create a BivariateSpline through the given points
LSQBivariateSpline
- to create a BivariateSpline using weighted least-squares fitting
SphereBivariateSpline
- bivariate spline interpolation in spherical cooridinates
bisplrep
- older wrapping of FITPACK
bisplev
- older wrapping of FITPACK
Methods
__call__
(x, y[, dx, dy, grid])Evaluate the spline or its derivatives at given positions. ev
(xi, yi[, dx, dy])Evaluate the spline at points 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 approximation: sum ((w[i]*(z[i]-s(x[i],y[i])))**2,axis=0) integral
(xa, xb, ya, yb)Evaluate the integral of the spline over area [xa,xb] x [ya,yb].