# scipy.interpolate.LSQSphereBivariateSpline.__call__

LSQSphereBivariateSpline.__call__(theta, phi, dtheta=0, dphi=0, grid=True)

  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.

scipy.interpolate.LSQSphereBivariateSpline scipy.interpolate.LSQSphereBivariateSpline.ev