numpy.argmax(array,axis = None,out = None):返回特定軸上數組max元素的索引。
參數:
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
返回:
Array of indices into the array with same shape as array.shape with the dimension along axis removed.
代碼1:
# 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))
輸出:
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]
代碼2:
# 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))
輸出:
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]
代碼3:
# 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))
輸出:
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]
參考文獻:
https://docs.scipy.org/doc/numpy-dev/reference/generated/numpy.argmax.html#numpy.argmax
相關用法
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