Oops,
Hi,Apparently I'm somehow misusing the functionality of interp1d(.) or does following behavior imply a bug in scipy. A minimum snippet (with plots) to demonstrate the problem:In []: from scipy.interpolate import interp1dIn []: n= 1000In []: x, y= randn(n), linspace(0, 1, n)In []: x.sort()In []: plot(x, y, lw= 2)Out[]: [<matplotlib.lines.Line2D object at 0x12E190D0>]
In []: f= interp1d(x, y, 'cubic')In []: xi= linspace(x.min(), x.max(), n)In []: plot(xi, f(xi))Out[]: [<matplotlib.lines.Line2D object at 0x12E20830>]Regards,-eat