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 import numpy as np
import numpy.polynomial.chebyshev as cheb
# using np.chebfit() method gfg = cheb.chebfit(( 4 , - 5 ), ( 5 , 7 ), 1 )
print (gfg)
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Output :
[5.88888889, -0.22222222]
Example #2 :
# 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)
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Output :
[1.39458146e+00 1.41166773e-01 1.53673202e-03 -2.82264138e-05]
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