Python | Numpy np.lagfit() method

Python | Numpy np.lagtrim() method

Last Updated : 23 Jan, 2020

With the help of np.lagtrim() method, we can trim the small trailing values of the polynomial by using np.lagtrim() method.

Syntax : np.lagtrim(c, tol) Return : Return the trimmed values from the polynomial.

Example #1 : In this example we can see that by using np.lagtrim() method, we are able to get the trimmed values of a polynomial by removing trailing values by using this method.

Python3 1=1

# import numpy and lagtrim
import numpy as np
from numpy.polynomial.laguerre import lagtrim

# using np.lagtrim() method
gfg = lagtrim([1, 2, 3, 0, 0], 0)

print(gfg)

Output :

[1. 2. 3.]

Example #2 :

Python3 1=1

# import numpy and lagtrim
import numpy as np
from numpy.polynomial.laguerre import lagtrim

# using np.lagtrim() method
gfg = lagtrim([0, 1, 2, 3], 3)

print(gfg)

Output :

[0.]

Python | Numpy np.lagfit() method

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