# Python | Numpy matrix.conjugate()

With the help of `Numpy matrix.conjugate()` method, we are able to find the conjugate of a given matrix having one or more than one dimension.

Syntax : `matrix.conjugate()`

Return : Return conjugate of given matrix

Example #1 :
In this example we can see that `matrix.conjugate()` method is used to conjugate the matrix. Remember string type of matrix doesn’t work here.

 `# import the important module in python ` `import` `numpy as np ` `          `  `# make an array with numpy ` `gfg ``=` `np.matrix(``'[1 + 2j, 2 + 3j]'``) ` `          `  `# applying matrix.conjugate() method ` `geeks ``=` `gfg.conjugate() ` `    `  `print``(geeks) `

Output:

```[[ 1.-2.j  2.-3.j]]
```

Example #2 :

 `# import the important module in python ` `import` `numpy as np ` `          `  `# make an array with numpy ` `gfg ``=` `np.matrix(``'[1 + 2j, 2 + 3j, 3-2j; 1-4j, 2-3j, 7 + 8j]'``) ` `          `  `# applying matrix.conjugate() method ` `geeks ``=` `gfg.conjugate() ` `    `  `print``(geeks) `

Output:

```[[ 1.-2.j  2.-3.j  3.+2.j]
[ 1.+4.j  2.+3.j  7.-8.j]]
```

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