text: """
  ========================================
  Interpolation (:mod:`scipy.interpolate`)
  ========================================
  
  .. currentmodule:: scipy.interpolate
  
  Sub-package for objects used in interpolation.
  
  As listed below, this sub-package contains spline functions and classes,
  one-dimensional and multi-dimensional (univariate and multivariate)
  interpolation classes, Lagrange and Taylor polynomial interpolators, and
  wrappers for `FITPACK <http://www.cisl.ucar.edu/softlib/FITPACK.html>`_
  and DFITPACK functions.
  
  Univariate interpolation
  ========================
  
  .. autosummary::
     :toctree: generated/
  
     interp1d
     BarycentricInterpolator
     KroghInterpolator
     PiecewisePolynomial
     PchipInterpolator
     barycentric_interpolate
     krogh_interpolate
     piecewise_polynomial_interpolate
     pchip_interpolate
  
  
  Multivariate interpolation
  ==========================
  
  Unstructured data:
  
  .. autosummary::
     :toctree: generated/
  
     griddata
     LinearNDInterpolator
     NearestNDInterpolator
     CloughTocher2DInterpolator
     Rbf
     interp2d
  
  For data on a grid:
  
  .. autosummary::
  
     RectBivariateSpline
  
  .. seealso:: `scipy.ndimage.map_coordinates`
  
  
  1-D Splines
  ===========
  
  .. autosummary::
     :toctree: generated/
  
     UnivariateSpline
     InterpolatedUnivariateSpline
     LSQUnivariateSpline
  
  The above univariate spline classes have the following methods:
  
  .. autosummary::
  
     UnivariateSpline.__call__
     UnivariateSpline.derivatives
     UnivariateSpline.integral
     UnivariateSpline.roots
     UnivariateSpline.derivative
     UnivariateSpline.antiderivative
     UnivariateSpline.get_coeffs
     UnivariateSpline.get_knots
     UnivariateSpline.get_residual
     UnivariateSpline.set_smoothing_factor
  
  
  Functional interface to FITPACK functions:
  
  .. autosummary::
     :toctree: generated/
  
     splrep
     splprep
     splev
     splint
     sproot
     spalde
     splder
     splantider
     bisplrep
     bisplev
  
  
  2-D Splines
  ===========
  
  For data on a grid:
  
  .. autosummary::
     :toctree: generated/
  
     RectBivariateSpline
     RectSphereBivariateSpline
  
  For unstructured data:
  
  .. autosummary::
     :toctree: generated/
  
     BivariateSpline
     SmoothBivariateSpline
     SmoothSphereBivariateSpline
     LSQBivariateSpline
     LSQSphereBivariateSpline
  
  Low-level interface to FITPACK functions:
  
  .. autosummary::
     :toctree: generated/
  
     bisplrep
     bisplev
  
  Additional tools
  ================
  
  .. autosummary::
     :toctree: generated/
  
     lagrange
     approximate_taylor_polynomial
  
  .. seealso::
  
     `scipy.ndimage.map_coordinates`,
     `scipy.ndimage.spline_filter`,
     `scipy.signal.resample`,
     `scipy.signal.bspline`,
     `scipy.signal.gauss_spline`,
     `scipy.signal.qspline1d`,
     `scipy.signal.cspline1d`,
     `scipy.signal.qspline1d_eval`,
     `scipy.signal.cspline1d_eval`,
     `scipy.signal.qspline2d`,
     `scipy.signal.cspline2d`.
  
  """
  from __future__ import division, print_function, absolute_import
  
  from .interpolate import *
  from .fitpack import *
  
  # New interface to fitpack library:
  from .fitpack2 import *
  
  from .rbf import Rbf
  
  from .polyint import *
  
  from .ndgriddata import *
  
  __all__ = [s for s in dir() if not s.startswith('_')]
  from numpy.testing import Tester
  test = Tester().test
  bench = Tester().bench
  