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, phiarray_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.
- dthetaint, optional
Order of theta-derivative
New in version 0.14.0.
- dphiint
Order of phi-derivative
New in version 0.14.0.
- gridbool
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.