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Python | Numpy numpy.matrix.T()
• Last Updated : 08 Apr, 2019

With the help of `Numpy numpy.matrix.T()` method, we can make a Transpose of any matrix either having dimension one or more than more.

Syntax : `numpy.matrix.T()`

Return : Return transpose of every matrix

Example #1 :
In this example we can see that with the help of `matrix.T()` method, we are able to transform any type of 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.T() method``geeks ``=` `gfg.getT()``   ` `print``(geeks)`
Output:

```[


]
```

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.T() method``geeks ``=` `gfg.getT()``   ` `print``(geeks)`
Output:
```[[1 4 7]
[2 5 8]
[3 6 9]]
```

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