def analysis.spline.spline_extension (   x,
  y,
  y2,
  xmin = None,
  xmax = None 
)

x, y, y2 = spline_extension(x_vals,y_vals, y2vals, xmin=None, xmax=None) 
returns the x, y, y2 table for the spline as needed by splint() with adjustments to allow quadratic extrapolation 
outside the range x[0]-x[-1], from xmin (or x[0] if xmin is None) to xmax (or x[-1] if xmax is None),
working from x, y, y2 from an already-created spline

Definition at line 58 of file spline.py.

00058                                                     :
00059     """x, y, y2 = spline_extension(x_vals,y_vals, y2vals, xmin=None, xmax=None) 
00060     returns the x, y, y2 table for the spline as needed by splint() with adjustments to allow quadratic extrapolation 
00061     outside the range x[0]-x[-1], from xmin (or x[0] if xmin is None) to xmax (or x[-1] if xmax is None),
00062     working from x, y, y2 from an already-created spline"""
00063 
00064     xl=[x]
00065     yl=[y]
00066     y2l=[y2]
00067     
00068     if xmin is not None:
00069         h0=x[1]-x[0]
00070         h1=xmin-x[0]
00071         yextrap=y[0]+((y[1]-y[0])/h0 - h0*(y2[0]+2.0*y2[1])/6.0)*h1+y2[0]*h1*h1/2.0
00072         yl.insert(0, (yextrap,))
00073         xl.insert(0, (xmin,))
00074         y2l.insert(0, (y2[0],))
00075 
00076     if xmax is not None:
00077         h0=x[-1]-x[-2]
00078         h1=xmax-x[-1]
00079         yextrap=y[-1]+((y[-1]-y[-2])/h0 + h0*(2.0*y2[-2]+y2[-1])/6.0)*h1+y2[-1]*h1*h1/2.0
00080         yl.append((yextrap,))
00081         xl.append((xmax,))
00082         y2l.append((y2[-1],))
00083 
00084     return Numeric.concatenate(xl), Numeric.concatenate(yl), Numeric.concatenate(y2l)
00085 
def spline_extrapolate(x, y, yp1=None, ypn=None, xmin=None, xmax=None):


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