scipy.interpolate.BivariateSpline

class scipy.interpolate.BivariateSpline[source]

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
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

Methods

__call__(x, y[, mth]) Evaluate spline at the grid points defined by the coordinate arrays
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].

Previous topic

scipy.interpolate.RectSphereBivariateSpline.get_residual

Next topic

scipy.interpolate.BivariateSpline.__call__