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.
import numpy as np
from numpy.polynomial.hermite import hermx
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 :
import numpy as np
from numpy.polynomial.hermite import hermx
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]
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