[Scipy-svn] r4524 - trunk/scipy/interpolate

scipy-svn@scip... scipy-svn@scip...
Wed Jul 2 18:37:51 CDT 2008

Author: fcady
Date: 2008-07-02 18:37:48 -0500 (Wed, 02 Jul 2008)
New Revision: 4524

added preliminary README file

Added: trunk/scipy/interpolate/README
--- trunk/scipy/interpolate/README	2008-07-02 18:33:52 UTC (rev 4523)
+++ trunk/scipy/interpolate/README	2008-07-02 23:37:48 UTC (rev 4524)
@@ -0,0 +1,102 @@
+Author: Enthought, Inc
+	Austin, TX
+	enthough-dev@mail.enthought.com
+Interpolate is a central package in SciPy, an open-source software package for scientific computing in Python which is maintained by Enthought, Inc.  Interpolate provides functionality for a variety of interpolation techniques, particularly those based on splines.
+A large portion of scipy.interpolate is Python wrappers around the functionality of FITPACK, a Fortran package produced by Pleasant Valley Software for working with curves and surfaces.  Scipy.interpolate provides the following 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.
+Other available functions include
+ UnivariateSpline             -- A more recent, object-oriented wrapper;
+                                finds a (possibly smoothed) interpolating
+                                spline.
+ InterpolatedUnivariateSpline -- Identical to InivariateSpline, but with
+				less error checking
+ LSQUnivariateSpline	      -- Appears to be identical to UnivariateSplin
+				with more error checking.  Uses weighted
+				least squares fitting
+ BivariateSpline              -- A more recent, object-oriented wrapper;
+                                      finds a interpolating spline for a
+                                      bivariate function.
+ SmoothBivariateSpline	      -- Smooth bivariate spline approximation
+A number of other functions and classes are provided, for which README documentation is forthcoming.
+Introductions to interpolation and splines can be found online at:
+	The Wikipedia article on interpolation.  Provides an accesible
+	overview of major areas of the subject, including spline
+	interpolation.
+	The Wikipedia article on spline interpolation.  It is accessible
+	as a conceptual introduction, and contains links to various
+	algorithms, but discussion is limited to 1D interpolation.

More information about the Scipy-svn mailing list