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) |
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) |
Output :
[1.39458146e+00 1.41166773e-01 1.53673202e-03 -2.82264138e-05]
