Python | Numpy np.hermx() method

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.

filter_none

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# 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)

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Output :

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



Example #2 :

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# 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)

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Output :

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

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