这个 努比。argmax() 函数返回数组在特定轴上的最大元素的索引。
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语法:
numpy.argmax(array, axis = None, out = None)
参数:
array : Input array to work on axis : [int, optional]Along a specified axis like 0 or 1out : [array optional]Provides a feature to insert output to the out array and it should be of appropriate shape and dtype
返回:
Array of indices into the array with same shape as array.shape with the dimension along axis removed.
代码1:
python
# Python Program illustrating # working of argmax() import numpy as geek # Working on 2D array array = geek.arrange( 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 )) |
输出:
INPUT ARRAY : [[ 0 1 2 3] [ 4 5 6 7] [ 8 9 10 11]]Max element : 11Indices of Max element : [2 2 2 2]Indices of Max element : [3 3 3]
代码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 )) |
输出:
INPUT ARRAY : [[ 0 3 8 13] [12 11 2 11] [ 5 13 8 3] [12 15 3 4]]Max element : 15Indices of Max element : [1 3 0 0]Indices of Max element : [3 0 1 1]
代码3:
python
# Python Program illustrating # working of argmax() import numpy as geek # Working on 2D array array = geek.arrange( 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 )) |
输出:
array : [[0 1 2 3 4] [5 6 7 8 9]]array : [[0 6 2 3 4] [5 6 7 8 9]]array : 9MAX ELEMENT INDICES : [1 0 1 1 1]
参考资料: https://docs.scipy.org/doc/numpy-dev/reference/generated/numpy.argmax.html#numpy.argmax
注: 这些代码不会在online-ID上运行。请在您的系统上运行它们以探索工作环境。
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