scipy.interpolate.RectSphereBivariateSpline.__call__¶
- RectSphereBivariateSpline.__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. 
