Python | Numpy np.chebfit() method

Python | Numpy np.chebfit() method

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.

Python3 1=1

# import numpy
import numpy as np
import numpy.polynomial.chebyshev as cheb

# using np.chebfit() method
gfg = cheb.chebfit((4, -5), (5, 7), 1)

print(gfg)

Output :

[5.88888889, -0.22222222]

Example #2 :

Python3 1=1

# import numpy
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]

Python | Numpy np.chebfit() method

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