Python | Numpy np.chebfit() method
Last Updated :
11 Nov, 2019
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With the help of
Python3 1=1
Output :
Python3 1=1
Output :
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)
[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)
[1.39458146e+00 1.41166773e-01 1.53673202e-03 -2.82264138e-05]