numpy.argmax() in Python

numpy.argmax(array, axis = None, out = None) : Returns indices of the max element of the array in a particular axis.
Parameters :

array : Input array to work on 
axis  : [int, optional]Along a specified axis like 0 or 1
out   : [array optional]Provides a feature to insert output to the out
          array and it should be of appropriate shape and dtype

Return :

Array of indices into the array with same shape as array.shape
 with the dimension along axis removed.

Code 1 :



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# Python Program illustrating
# working of argmax()
  
import numpy as geek 
  
# Working on 2D array
array = geek.arange(12).reshape(3, 4)
print("INPUT ARRAY : \n", array)
  
# No axis mentioned, so works on entire array
print("\nMax element : ", geek.argmax(array))
  
# returning Indices of the max element
# as per the indices
print("\nIndices of Max element : ", geek.argmax(array, axis=0))
print("\nIndices of Max element : ", geek.argmax(array, axis=1))

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Output :

INPUT ARRAY : 
 [[ 0  1  2  3]
 [ 4  5  6  7]
 [ 8  9 10 11]]

Max element :  11

Indices of Max element :  [2 2 2 2]

Indices of Max element :  [3 3 3]

Code 2 :

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# Python Program illustarting
# working of argmax()
  
import numpy as geek 
  
# Working on 2D array
array =  geek.random.randint(16, size=(4, 4))
print("INPUT ARRAY : \n", array)
  
# No axis mentioned, so works on entire array
print("\nMax element : ", geek.argmax(array))
  
# returning Indices of the max element
# as per the indices
  
'''   
   [[ 0  3  8 13]
    [12 11  2 11]
    [ 5 13  8  3]
    [12 15  3  4]]
      ^  ^  ^  ^
     12 15  8  13  - element
     1  3   0  0   - indices
'''
print("\nIndices of Max element : ", geek.argmax(array, axis = 0))
  
  
'''   
                            ELEMENT   INDEX
   ->[[ 0  3  8 13]           13        3
    ->[12 11  2 11]           12        0
    ->[ 5 13  8  3]           13        1
    ->[12 15  3  4]]          15        1
        
'''
print("\nIndices of Max element : ", geek.argmax(array, axis = 1))

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Output :

INPUT ARRAY : 
 [[ 0  3  8 13]
  [12 11  2 11]
  [ 5 13  8  3]
  [12 15  3  4]]

Max element :  15

Indices of Max element :  [1 3 0 0]

Indices of Max element :  [3 0 1 1]

Code 3 :

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# Python Program illustarting
# working of argmax()
  
import numpy as geek 
  
# Working on 2D array
array =  geek.arange(10).reshape(2, 5)
print("array : \n", array)
  
array[0][1] = 6
print("\narray : \n", array)
       
# Returns max element
print("\narray : ", geek.argmax(array))
  
# First occurrence of an max element is given
print("\nMAX ELEMENT INDICES : ", geek.argmax(array, axis = 0))

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Output :

array : 
 [[0 1 2 3 4]
 [5 6 7 8 9]]

array : 
 [[0 6 2 3 4]
 [5 6 7 8 9]]

array :  9

MAX ELEMENT INDICES :  [1 0 1 1 1]

References :
https://docs.scipy.org/doc/numpy-dev/reference/generated/numpy.argmax.html#numpy.argmax

Note :
These codes won’t run on online-ID. Please run them on your systems to explore the working
.
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