scipy.interpolate.SmoothBivariateSpline.__call__

SmoothBivariateSpline.__call__(x, y, mth=None, dx=0, dy=0, grid=True)

Evaluate the spline or its derivatives at given positions.

Parameters:

x, y : array_like

Input coordinates.

If grid is False, evaluate the spline at points (x[i], y[i]), i=0, ..., len(x)-1. Standard Numpy broadcasting is obeyed.

If grid is True: evaluate spline at the grid points defined by the coordinate arrays x, y. The arrays must be sorted to increasing order.

dx : int

Order of x-derivative

New in version 0.14.0.

dy : int

Order of y-derivative

New in version 0.14.0.

grid : bool

Whether to evaluate the results on a grid spanned by the input arrays, or at points specified by the input arrays.

New in version 0.14.0.

mth : str

Deprecated argument. Has no effect.