scipy.interpolate._fitpack2:RectBivariateSpline

Parameters

x,y : array_like

1-D arrays of coordinates in strictly ascending order. Evaluated points outside the data range will be extrapolated.

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, which means the start and end spline knots of each dimension are set by these values. By default, bbox=[min(x), max(x), min(y), max(y)].

kx, ky : ints, optional

Degrees of the bivariate spline. Default is 3.

s : float, optional

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

maxit : int, optional

The maximal number of iterations maxit allowed for finding a smoothing spline with fp=s. Default is maxit=20.