With the help of Numpy matrix.argmax() method, we are able to find the index value of the minimum element in the given matrix having one or more dimension.
Syntax :
matrix.argmin()Return : Return index number of minimum elements in matrix
Example #1 :
In this example we can see that with the help of matrix.argmax() method we are able to find the index of minimum element in a given 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.argmin() method neveropen = gfg.argmin() print(neveropen) |
Output:
0
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.argmin() method neveropen = gfg.argmin() print(neveropen) |
Output:
4
