 # Python | Numpy matrix.argsort ()

Using the ` Numpy matrix.argmax () ` method, we can find sorting elements in a given matrix that have one or more dimensions, and it will return the index value of the sorted elements.

Syntax: `matrix.argsort()`

Return: Return index number of sorted elements in matrix

Example # 1:
In this example we see that using the ` matrix.argsort () ` method we can find the sorted element in the given matrix and output the result as the index of the sorted array.

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

Exit:

` [[3 1 0 2]] `

Example # 2:

 ` # import important module into python ` ` import ` ` numpy as np `   # make a matrix with NumPy ` gfg ` ` = ` ` np.matrix (` ` `[-1, 2, 3; 4, -5, 6; 7, -8, 9] `` `) ` ` `  ` # using the matrix.argsort () method ` ` geeks ` ` = ` ` gfg.argsort () `   ` print ` ` (geeks) `

Exit:

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