numpy.argmin() in Python (original) (raw)

Last Updated : 08 Mar, 2024

The numpy.argmin() method returns indices of the min element of the array in a particular axis.

Syntax :

numpy.argmin(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

import numpy as geek

array = geek.arange( 8 )

print ( "INPUT ARRAY : \n" , array)

print ( "\nIndices of min element : " , geek.argmin(array, axis = 0 ))

Output :

INPUT ARRAY : [0 1 2 3 4 5 6 7]

Indices of min element : 0

Code 2 :

Python

import numpy as geek

array = geek.random.randint( 16 , size = ( 4 , 4 ))

print ( "INPUT ARRAY : \n" , array)

print ( "\nIndices of min element : " , geek.argmin(array, axis = 0 ))

Output :

INPUT ARRAY : [[ 8 13 5 0] [ 0 2 5 3] [10 7 15 15] [ 3 11 4 12]]

Indices of min element : [1 1 3 0]

Code 3 :

Python

import numpy as geek

array = geek.arange( 10 ).reshape( 2 , 5 )

print ( "array : \n" , array)

array[ 0 ][ 0 ] = 10

array[ 1 ][ 1 ] = 1

array[ 0 ][ 1 ] = 1

print ( "\narray : \n" , array)

print ( "\narray : " , geek.argmin(array))

print ( "\nmin ELEMENT INDICES : " , geek.argmin(array, axis = 0 ))

Output :

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

array : [[10 1 2 3 4] [ 5 1 7 8 9]]

array : 1

min ELEMENT INDICES : [1 0 0 0 0]