scipy.interpolate.RectBivariateSpline

class scipy.interpolate.RectBivariateSpline(x, y, z, bbox=[None, None, None, None], kx=3, ky=3, s=0)

Bivariate spline approximation over a rectangular mesh.

Can be used for both smoothing and interpolating data.

Parameters :

x,y : array_like

1-D arrays of coordinates in strictly ascending order.

z : array_like

2-D array of data with shape (x.size,y.size).

bbox : array_like, optional

Sequence of length 4 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 : ints, optional

Degrees of the bivariate spline. Default is 3.

s : float, optional

Positive smoothing factor defined for estimation condition: sum((w[i]*(z[i]-s(x[i],y[i])))**2,axis=0) <= s Default is s=0, which is for interpolation.

See also

SmoothBivariateSpline

a smoothing bivariate spline for scattered data

bisplrep, bisplev

UnivariateSpline

a similar class for univariate spline interpolation

Methods

__call__
ev
get_coeffs
get_knots
get_residual
integral