Python | The numpy np.hermx () ​​method



Using the np.hermx() method, we can get a filter that has an array of values ​​([0, 0.5]) in the Hermite series using np.hermx () ​​.

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

Example # 1:
In this example, we can see that using np.hermx () ​​ we can get a array ([0, 0.5]) filter in Hermite rows using this method.

# numpy and hermx imports

import numpy as np

from numpy.polynomial.hermite import hermx

  
# using the 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:

# numpy and hermx imports

import numpy as np

from numpy.polynomial.hermite import hermx

 
# using the 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]