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# Python | Numpy np.eigvals() method

• Last Updated : 03 Nov, 2019

With the help of `np.eigvals()` method, we can get the eigen values of a matrix by using `np.eigvals()` method.

Syntax : `np.eigvals(matrix)`
Return : Return the eigen values of a matrix.

Example #1 :
In this example we can see that by using `np.eigvals()` method, we are able to get the eigen values of a matrix by using this method.

 `# import numpy``from` `numpy ``import` `linalg as LA`` ` `# using np.eigvals() method``gfg ``=` `LA.eigvals([[``1``, ``2``], [``3``, ``4``]])`` ` `print``(gfg)`

Output :

[-0.37228132 5.37228132]

Example #2 :

 `# import numpy``from` `numpy ``import` `linalg as LA`` ` `# using np.eigvals() method``gfg ``=` `LA.eigvals([[``1``, ``2``, ``3``], [``4``, ``5``, ``6``], [``7``, ``8``, ``9``]])`` ` `print``(gfg)`

Output :

[ 1.61168440e+01 -1.11684397e+00 -1.30367773e-15]

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