# Python | Numpy numpy.matrix.A()

• Last Updated : 08 Apr, 2019

With the help of `Numpy numpy.matrix.A()` method, we can get the same matrix as self. It means through this method we can get the identical matrix.

Syntax : `numpy.matrix.A()`

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Return : Return self matrix

Example #1 :
In this example we can see that with the help of `matrix.A()` method, we are able to get the self matrix.

 `# import the important module in python``import` `numpy as np``         ` `# make a matrix with numpy``gfg ``=` `np.matrix(``'[1, 2, 3, 4]'``)``         ` `# applying matrix.A() method``geeks ``=` `gfg.getA()``   ` `print``(geeks)`
Output:
```[[1 2 3 4]]
```

Example #2 :

 `# import the important module in python``import` `numpy as np``         ` `# make a matrix with numpy``gfg ``=` `np.matrix(``'[1, 2, 3; 4, 5, 6; 7, 8, 9]'``)``         ` `# applying matrix.A() method``geeks ``=` `gfg.getA()``   ` `print``(geeks)`
Output:
```[[1 2 3]
[4 5 6]
[7 8 9]]
```
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