Python | Numpy np.chebfit() method (original) (raw)

Last Updated : 11 Nov, 2019

With the help of **np.chebfit()** method, we can get the least square fit of chebyshev series by using np.chebfit() method.

Syntax : np.chebfit(x, y, degree)
Return : Return the array of chebyshev series coefficient values.

Example #1 :
In this example we can see that using np.chebfit() method, we are able to get the least square fit of chebyshev series using this method.

import numpy as np

import numpy.polynomial.chebyshev as cheb

gfg = cheb.chebfit(( 4 , - 5 ), ( 5 , 7 ), 1 )

print (gfg)

Output :

[5.88888889, -0.22222222]

Example #2 :

import numpy as np

import numpy.polynomial.chebyshev as cheb

gfg = cheb.chebfit(( - 3 , 4 , 10 ), ( 1 , 2 , 3 ), 3 )

print (gfg)

Output :

[1.39458146e+00 1.41166773e-01 1.53673202e-03 -2.82264138e-05]

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