class_docstr: Bivariate spline s(x,y) of degrees 3 on a sphere, calculated from a
  given set of data points (theta,phi,r).
  
  .. versionadded:: 0.11.0
  
  See Also
  --------
  bisplrep :
      a function to find a bivariate B-spline representation of a surface
  bisplev :
      a function to evaluate a bivariate B-spline and its derivatives
  UnivariateSpline :
      a smooth univariate spline to fit a given set of data points.
  SmoothBivariateSpline :
      a smoothing bivariate spline through the given points
  LSQUnivariateSpline :
      a univariate spline using weighted least-squares fitting
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docstr: Evaluate the spline at points
  
  Returns the interpolated value at ``(theta[i], phi[i]),
  i=0,...,len(theta)-1``.
  
  Parameters
  ----------
  theta, phi : array_like
      Input coordinates. Standard Numpy broadcasting is obeyed.
  dtheta : int, optional
      Order of theta-derivative
  
      .. versionadded:: 0.14.0
  dphi : int, optional
      Order of phi-derivative
  
      .. versionadded:: 0.14.0
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code: def ev(self, theta, phi, dtheta=0, dphi=0):
      """
      Evaluate the spline at points
  
      Returns the interpolated value at ``(theta[i], phi[i]),
      i=0,...,len(theta)-1``.
  
      Parameters
      ----------
      theta, phi : array_like
          Input coordinates. Standard Numpy broadcasting is obeyed.
      dtheta : int, optional
          Order of theta-derivative
  
          .. versionadded:: 0.14.0
      dphi : int, optional
          Order of phi-derivative
  
          .. versionadded:: 0.14.0
      """
      return self.__call__(
          theta, phi, dtheta=dtheta, dphi=dphi, grid=False
      )
  
imports: import warnings
  from numpy import zeros, concatenate, ravel, diff, array, ones
  import numpy
  from .None import fitpack
  from .None import dfitpack
label_desc: Use image node_id 2 for calling the SphereBivariateSpline obj's underlying member method code with example usage: obj.ev(theta, phi, dtheta, dphi) and returns: self