"""
Interpolation Tools
===================

Wrappers around FITPACK functions
----------------------------------

  splrep
          find smoothing spline given (x,y) points on curve.
  splprep
          find smoothing spline given parametrically defined curve.
  splev
          evaluate the spline or its derivatives.
  splint
          compute definite integral of a spline.
  sproot
          find the roots of a cubic spline.
  spalde
          compute all derivatives of a spline at given points.
  bisplrep
          find bivariate smoothing spline representation.
  bisplev
          evaluate bivariate smoothing spline.

  UnivariateSpline

          A more recent, object-oriented wrapper; finds a (possibly
          smoothed) interpolating spline.

  InterpolatedUnivariateSpline

  LSQUnivariateSpline

  BivariateSpline

           A more recent, object-oriented wrapper; finds a
           interpolating spline for a bivariate function.

  SmoothBivariateSpline

Interpolation Classes (univariate)
-----------------------------------

  interp1d
               Create a class whose instances can linearly interpolate
               to compute unknown values of a univariate function.

  BarycentricInterpolator
               Compute with a numerically-stable version
               of the Lagrange interpolating polynomial.

  barycentric_interpolate
               procedural interface to the above

  KroghInterpolator

               Compute with the Hermite interpolating polynomial
               (allows the specification of derivatives at some points).

  krogh_interpolate

               procedural interface to the above

  PiecewisePolynomial

               Spline that is specified by giving positions and
               derivatives at every knot; allows high orders and
               efficient appending.

  piecewise_polynomial_interpolate

               procedural interface to the above

Interpolation Classes (multivariate)
-------------------------------------

  interp2d
               Create a class whose instances can interpolate
               to compute unknown values of a bivariate function.

  Rbf
               Apply Radial Basis Functions to interpolate scattered N-D data.

Additional tools
-----------------

  lagrange
               Compute the Lagrange interpolating polynomial.

  approximate_taylor_polynomial

               compute an approximate Taylor polynomial for
               a function using polynomial interpolation

"""

postpone_import = 1

@@ -635,33 +635,32 @@
 nivariateSpline%0A
-%0A
           A more
@@ -827,17 +827,16 @@
 eSpline%0A
-%0A
         
@@ -970,16 +970,556 @@
 Spline%0A%0A
+Low-level Piece-wise Spline Tools%0A-----------------------------------%0A  splmake%0A              Create a spline representation from data-points%0A              where the internal knots are the data-points.%0A              %0A  spleval%0A              Evaluate a spline representation on a new set of%0A              input data values.%0A%0A  spline%0A              Single-call interface to splmake and spleval%0A              %0A  spltopp%0A              Return piecewise polynomial representation from a%0A              spline representation. %0A                %0A  %0A%0A
 Interpol
@@ -1969,17 +1969,16 @@
 polator%0A
-%0A
         
@@ -2120,33 +2120,32 @@
 ogh_interpolate%0A
-%0A
                p
@@ -2192,33 +2192,32 @@
 ewisePolynomial%0A
-%0A
                S
@@ -2401,17 +2401,16 @@
 rpolate%0A
-%0A
         
@@ -2451,16 +2451,214 @@
  above%0A%0A
+  ppform%0A               Class to create a piecewise polynomial representation of%0A               a spline from the coefficients of the polynomial in each%0A               section and the break-points%0A%0A
 Interpol
@@ -3093,17 +3093,16 @@
 ynomial%0A
-%0A
         
@@ -3211,16 +3211,806 @@
 lation%0A%0A
+%0ASee Also%0A------------%0A%0A  ndimage%0A     map_coordinates%0A               N-d interpolation from evenly-spaced data using%0A               fast B-splines. %0A%0A     spline_filter%0A               Method to pre-compute spline coefficients to make%0A               map_coordinates efficient for muliple calls on the same%0A               set of interpolated points.%0A%0A  signal%0A     resample%0A%0A              Perform sinc-interpolation using a Fourier filter.%0A              This function can decimate or interpolate to an evenly%0A              sampled grid.%0A          %0A     bspline%0A     gauss_spline%0A     qspline1d%0A     cspline1d%0A     qspline1d_eval%0A     cspline1d_eval%0A     qspline2d%0A     cspline2d%0A               Low-level spline tools for regularly spaced data using%0A               fast B-spline algorithms.%0A%0A
 %22%22%22%0A%0Apos

Add more documentation to scipy interpolate.