numpy.argmax() in Python

Last Updated : 08 Mar, 2024

The numpy.argmax() function returns indices of the max element of the array in a particular axis.

Syntax :

numpy.argmax(array, axis = None, out = None)

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 :

Python

   # 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)) 
 
  

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 :

Python

   # Python Program illustrating 
# 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)) 
 
  

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 :

Python

   # Python Program illustrating 
# 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)) 
 
  

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]

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

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