Python | Numpy np.hermone() method

Python | Numpy np.hermx() method

Last Updated : 11 Dec, 2019

With the help of np.hermx() method, we can get the filter having value array([0, 0.5]) in hermite series by using np.hermx() method.

Syntax : np.hermx Return : Return filter of array([0, 0.5])

Example #1 : In this example we can see that by using np.hermx() method, we are able to get the filter of an array([0, 0.5]) in hermite series by using this method.

Python3 1=1

# import numpy and hermx
import numpy as np
from numpy.polynomial.hermite import hermx

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

Output :

[0. 1.5] [1. 2.5] [2. 3.5] [3. 4.5] [4. 5.5]

Example #2 :

Python3 1=1

# import numpy and hermx
import numpy as np
from numpy.polynomial.hermite import hermx

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

Output :

[-1. 1.5] [0. 2.5] [1. 3.5] [2. 4.5] [3. 5.5]

Python | Numpy np.hermone() method

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