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# Python | Numpy matrix.take()

• Last Updated : 29 May, 2019

With the help of `Numpy matrix.take()` method, we can select the elements from a given matrix by passing the parameter as index value of that element. It will return a matrix having one dimension. Remember it will work for one axis at a time.

Syntax : `matrix.take(index, axis)`
Return : Return matrix of selected indexes

Example #1 :
In this example we can see that by selecting one index we get only one value in a matrix by using `matrix.take()` method.

 `# import the important module in python``import` `numpy as np``             ` `# make matrix with numpy``gfg ``=` `np.matrix(``'[4, 1, 12, 3, 4, 6, 7]'``)``             ` `# applying matrix.take() method``geek ``=` `gfg.take(``2``)``   ` `print``(geek)`
Output:
```[[12]]
```

Example #2 :

 `# import the important module in python``import` `numpy as np``             ` `# make matrix with numpy``gfg ``=` `np.matrix(``'[4, 1, 9; 12, 3, 1; 4, 5, 6]'``)``             ` `# applying matrix.take() method``geek ``=` `gfg.take(``0``, ``1``)``   ` `print``(geek)`
Output:
```[[ 4 12  4]]
```

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