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.
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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