# Python | Numpy np.lagcompanion() method

`np.lagcompanion()` method is used to return the companion matrix of Laguerre series.

Syntax : `np.lagcompanion(c)`
Parameters:
c :[array_like] 1-D arrays of Laguerre series coefficients ordered from low to high.

Return : [ndarray] Companion matrix of dimensions (deg, deg).

Code #1 :

 `# Python program explaining ` `# numpy.lagcompanion() method  ` `   `  `# importing numpy as np   ` `# and numpy.polynomial.laguerre module as geek  ` `import` `numpy as np  ` `import` `numpy.polynomial.laguerre as geek ` `   `  `# Input laguerre series coefficients ` ` `  `s ``=` `(``2``, ``4``, ``8``)  ` `    `  `# using np.lagcompanion() method  ` `res ``=` `geek.lagcompanion(s)  ` ` `  `# Resulting Companion matrix ` `print` `(res)  `

Output:

```[[ 1.  -0.5]
[-1.   4. ]]
```

Code #2 :

 `# Python program explaining ` `# numpy.lagcompanion() method  ` `   `  `# importing numpy as np   ` `# and numpy.polynomial.laguerre module as geek  ` `import` `numpy as np  ` `import` `numpy.polynomial.laguerre as geek ` `   `  `# Laguerre series coefficients ` `s ``=` `(``1``, ``2``, ``3``, ``4``, ``5``)  ` ` `  `   `  `# using np.lagcompanion() method  ` `res ``=` `geek.lagcompanion(s)  ` ` `  `# Resulting Companion matrix ` `print` `(res)  `

Output:

```[[  1.   -1.    0.    0.8]
[ -1.    3.   -2.    1.6]
[  0.   -2.    5.   -0.6]
[  0.    0.   -3.   10.2]]
```

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