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>>> x = arange(0,10)
>>> y = exp(-x/3.0)
>>> f = interpolate.linear_1d(x,y)
>>> help(f)
Instance of class:  linear_1d

 <name>(x_new)

Find linearly interpolated y_new = <name>(x_new).

Inputs:        
  x_new -- New independent variables.

Outputs:
  y_new -- Linearly interpolated values corresponding to x_new.

>>> xnew = arange(0,9,0.1)
>>> xplt.plot(x,y,'x',xnew,f(xnew),'.')