[Matplotlib-users] Fit with Chebyshev Polynomials

[Fabien L. <laf...@gm...>]

I have a basic problem (I think)

I try to fit some data with this function
http://docs.scipy.org/doc/numpy/reference/generated/numpy.polynomial.Chebyshev.fit.html

But it return an error:

fit = chebyshev.fit(T,R,3)
NameError: name 'chebyshev' is not defined

I don't understand I've imported Numpy and polynomials... An Idea?


import math
from numpy import *
from numpy import polynomial
from pylab import *
from scipy import *
from scipy import optimize
import warnings
warnings.simplefilter('ignore', np.RankWarning)


R = [ 9011.5   ,  7822.7   ,  6253.9   ,  4877.56  ,  3892.08  ,
3221.41  ,  2647.05,
  2260.94 ,   1959.72  ,  1712.06   , 1522.28  ,  1367.87  ,  1242.953
 , 1185.092,
  1104.452  , 1031.862  ,  919.8644  , 832.9942  , 767.8944  , 715.1569,
   671.6301 ,  635.1634 ,  604.284   , 577.5536]

T = range(0,len(R))
plot (T,R,".")
show()
fit = chebyshev.fit(T,R,3)
print fit