scipy.interpolate.LSQBivariateSpline.__init__

LSQBivariateSpline.__init__(x, y, z, tx, ty, w=None, bbox=[, None, None, None, None], kx=3, ky=3, eps=None)

Input:

x,y,z - 1-d sequences of data points (order is not

important)

tx,ty - strictly ordered 1-d sequences of knots

coordinates.

Optional input:

w - positive 1-d sequence of weights bbox - 4-sequence specifying the boundary of

the rectangular approximation domain. By default, bbox=[min(x,tx),max(x,tx),

min(y,ty),max(y,ty)]

kx,ky=3,3 - degrees of the bivariate spline. eps - a threshold for determining the effective rank

of an over-determined linear system of equations. 0 < eps < 1, default is 1e-16.