Python | Numpy np.chebfit () method

Using the np.chebfit() method, we can get the least squares Chebyshev series method using np.chebfit () .

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 () , we can get the Chebyshev least squares method using this method.

# NumPy import

import numpy as np

import numpy.polynomial.chebyshev as cheb

 
# using method np.chebfit ()

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

 

print (gfg)

Output:

[5.88888889 , -0.22222222]

Example # 2:

# NumPy import

import numpy as np

import numpy.polynomial.chebyshev as cheb

 
# using np.chebfit () method

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]