# scipy.interpolate.bisplev¶

scipy.interpolate.bisplev(x, y, tck, dx=0, dy=0)[source]

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. vals : ndarray The B-spline or its derivative evaluated over the set formed by the cross-product of x and y.

Notes

See bisplrep to generate the tck representation.

References

 [R94] Dierckx P. : An algorithm for surface fitting with spline functions Ima J. Numer. Anal. 1 (1981) 267-283.
 [R95] Dierckx P. : An algorithm for surface fitting with spline functions report tw50, Dept. Computer Science,K.U.Leuven, 1980.
 [R96] Dierckx P. : Curve and surface fitting with splines, Monographs on Numerical Analysis, Oxford University Press, 1993.

#### Previous topic

scipy.interpolate.bisplrep

#### Next topic

scipy.interpolate.lagrange