# 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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