# Python | Numpy matrix.argsort()

With the help of `Numpy matrix.argmax()` method, we are able to find the sort the elements in the given matrix having one or more dimension and it would return the index value of sorted elements.

Syntax : `matrix.argsort()`

Return : Return index number of sorted elements in matrix

Example #1 :
In this example we can see that with the help of `matrix.argsort()` method, we are able to find the sorted element in a given matrix and gives output as index of sorted array.

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

Output:

```[[3 1 0 2]]
```

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.argsort() method ` `geeks ``=` `gfg.argsort() ` `    `  `print``(geeks) `

Output:

```[[0 1 2]
[1 0 2]
[1 0 2]]
```
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