Der numpy.argmax() Die Funktion gibt Indizes des maximalen Elements des Arrays in einer bestimmten Achse zurück.
Syntax :
Was ist Java-Hashmap?
numpy.argmax(array, axis = None, out = None)>
Parameter:
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>
Zurückkehren :
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 :
'>, array)> > # No axis mentioned, so works on entire array> print>(>'
Max element : '>, geek.argmax(array))> > # returning Indices of the max element> # as per the indices> print>(>'
Indices of Max element : '>, geek.argmax(array, axis>=>0>))> print>(>'
Indices of Max element : '>, geek.argmax(array, axis>=>1>))> |
>
>
Ausgabe :
Minimal Maximal
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 :
'>, array)> > # No axis mentioned, so works on entire array> print>(>'
Max 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>(>'
Indices 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>(>'
Indices of Max element : '>, geek.argmax(array, axis>=> 1>))> |
>
>
Ausgabe :
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 :
'>, array)> > array[>0>][>1>]>=> 6> print>(>'
array :
'>, array)> > # Returns max element> print>(>'
array : '>, geek.argmax(array))> > # First occurrence of an max element is given> print>(>'
MAX ELEMENT INDICES : '>, geek.argmax(array, axis>=> 0>))> |
Word-Symbolleiste für den Schnellzugriff
>
>
Ausgabe :
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]>
Notiz :
Diese Codes laufen nicht auf Online-IDEs. Bitte führen Sie sie auf Ihren Systemen aus, um die Funktionsweise zu testen.