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# Python | Numpy np.hermcompanion() method

• Last Updated : 06 Dec, 2019

With the help of `np.hermcompanion()` method, we can get the companion matrix from hermite series by using `np.hermcompanion()` method.

Syntax : `np.hermcompanion(series)`
Return : Return the companion matrix.

Example #1 :
In this example we can see that by using `np.hermcompanion()` method, we are able to get the companion matrix from hermite series by using this method.

 `# import numpy and hermcompanion``import` `numpy as np``from` `numpy.polynomial.hermite ``import` `hermcompanion`` ` `series ``=` `np.array([``6``, ``7``, ``8``, ``9``, ``10``])``# using np.hermcompanion() method``gfg ``=` `hermcompanion(series)`` ` `print``(gfg)`

Output :

[[ 0. 0.70710678 0. -0.04330127]
[ 0.70710678 0. 1. -0.07144345]
[ 0. 1. 0. 1.06144556]
[ 0. 0. 1.22474487 -0.45 ]]

Example #2 :

 `# import numpy and hermcompanion``import` `numpy as np``from` `numpy.polynomial.hermite ``import` `hermcompanion`` ` `series ``=` `np.array([``1``, ``2``, ``3``, ``4``, ``5``])``# using np.hermcompanion() method``gfg ``=` `hermcompanion(series)`` ` `print``(gfg)`

Output :

[[ 0. 0.70710678 0. -0.01443376]
[ 0.70710678 0. 1. -0.04082483]
[ 0. 1. 0. 1.10227038]
[ 0. 0. 1.22474487 -0.4 ]]

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