class_docstr: Base class for Bivariate spline s(x,y) interpolation on the rectangle
  [xb,xe] x [yb, ye] calculated from a given set of data points
  (x,y,z).
  
  See Also
  --------
  bisplrep, bisplev : an older wrapping of FITPACK
  BivariateSpline :
      implementation of bivariate spline interpolation on a plane grid
  SphereBivariateSpline :
      implementation of bivariate spline interpolation on a spherical grid
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docstr: Return weighted sum of squared residuals of the spline
  approximation: sum ((w[i]*(z[i]-s(x[i],y[i])))**2,axis=0)
code: def get_residual(self):
      """Return weighted sum of squared residuals of the spline
      approximation: sum ((w[i]*(z[i]-s(x[i],y[i])))**2,axis=0)
      """
      return self.fp
  
imports: from __future__ import division, print_function, absolute_import
  import warnings
  from numpy import zeros, concatenate, alltrue, ravel, all, diff, array, ones
  import numpy
  from .None import fitpack
  from .None import dfitpack
label_desc: Use image node_id 1 for calling the _BivariateSplineBase obj's underlying member method code with example usage: obj.get_residual() and returns: self