scipy.interpolate._ndbspline:make_ndbspl

Parameters

points : tuple of ndarrays of float, with shapes (m1,), ... (mN,)

The points defining the regular grid in N dimensions. The points in each dimension (i.e. every element of the points tuple) must be strictly ascending or descending.

values : ndarray of float, shape (m1, ..., mN, ...)

The data on the regular grid in n dimensions.

k : int, optional

The spline degree. Must be odd. Default is cubic, k=3

solver : a `scipy.sparse.linalg` solver (iterative or direct), optional.

An iterative solver from scipy.sparse.linalg or a direct one, sparse.sparse.linalg.spsolve. Used to solve the sparse linear system design_matrix @ coefficients = rhs for the coefficients. Default is scipy.sparse.linalg.gcrotmk

solver_args : dict, optional

Additional arguments for the solver. The call signature is solver(csr_array, rhs_vector, **solver_args)