scipy.interpolate.SmoothSphereBivariateSpline.__call__¶
- SmoothSphereBivariateSpline.__call__(theta, phi, dtheta=0, dphi=0, grid=True)[source]¶
Evaluate the spline or its derivatives at given positions.
Parameters: theta, phi : array_like
Input coordinates.
If grid is False, evaluate the spline at points (theta[i], phi[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 theta, phi. The arrays must be sorted to increasing order.
dtheta : int, optional
Order of theta-derivative
New in version 0.14.0.
dphi : int
Order of phi-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.