Python | Numpy np.lagcompanion() method

Python | Numpy np.lagdomain() method

Last Updated : 29 Dec, 2019

With the help of np.lagdomain() method, we can get the filter having value array([0, 1]) in laguerre series.

Syntax : np.lagdomain Return : Return filter of array([0, 1])

Example #1 :

Python3 1=1

# Python program explaining
# numpy.lagdomain() method 

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

# using np.lagdomain() method
for i in range(5):
    ans = lagdomain + [i, i + 1]
    print(ans)

Output :

[-1 2] [0 3] [1 4] [2 5] [3 6]

Example #2 :

Python3 1=1

# Python program explaining
# numpy.lagdomain() method 

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

# using np.lagdomain() method
for i in range(4):
    ans = lagdomain + [i-1, i + 1]
    print(ans)

Output :

[-2 2] [-1 3] [0 4] [1 5] [2 6]

Python | Numpy np.lagcompanion() method

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