Python | Numpy np.hermegrid3d() method
With the help of np.hermegrid3d()
method, we can evaluate a 3-D hermite series on cartesian product of (x, y, z), where (x, y, z) is defined in the np.hermegrid3d()
method.
Syntax : np.hermegrid3d(x, y, z, series)
Return : Return the evaluated 3-D hermite series.
Example #1 :
In this example we can see that by using np.hermegrid3d()
method, we are able to evaluate the 3-D hermite series on cartesian product of x, y and z by using this method.
import numpy as np
from numpy.polynomial.hermite_e import hermegrid3d
series = np.array([[ 1 , 2 , 3 , 4 ], [ 5 , 6 , 7 , 8 ], [ 9 , 10 , 11 , 12 ]])
gfg = hermegrid3d( 3 , 4 , 6 , series)
print (gfg)
|
Output :
8616.0
Example #2 :
import numpy as np
from numpy.polynomial.hermite_e import hermegrid3d
series = np.array([[ 1 , 2 , 3 , 4 ], [ 5 , 6 , 7 , 8 ], [ 9 , 10 , 11 , 12 ]])
gfg = hermegrid3d([ 0 , 1 ], [ 2 , 3 ], [ 4 , 5 ], series)
print (gfg)
|
Output :
[[ 240. 316.]
[1064. 1390.]]
Last Updated :
11 Dec, 2019
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