Related Articles
Python | Numpy np.hermegrid3d() method
• Last Updated : 11 Dec, 2019

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 and hermegrid3d``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``]])``# using np.hermegrid3d() method``gfg ``=` `hermegrid3d(``3``, ``4``, ``6``, series)`` ` `print``(gfg)`

Output :

8616.0

Example #2 :

 `# import numpy and hermegrid3d``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``]])``# using np.hermegrid3d() method``gfg ``=` `hermegrid3d([``0``, ``1``], [``2``, ``3``], [``4``, ``5``], series)`` ` `print``(gfg)`

Output :

[[ 240. 316.]
[1064. 1390.]]

Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.

To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course. And to begin with your Machine Learning Journey, join the Machine Learning – Basic Level Course

My Personal Notes arrow_drop_up