numpy.argmin(array，axis = None，out = None)：返回特定軸上數組min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 argmin()
import numpy as geek
# Working on 1D array
array = geek.arange(8)
print("INPUT ARRAY:\n", array)
# returning Indices of the min element
# as per the indices
print("\nIndices of min element:", geek.argmin(array, axis=0))輸出：
INPUT ARRAY: [0 1 2 3 4 5 6 7] Indices of min element: 0
代碼2：
# Python Program illustarting
# working of argmin()
import numpy as geek
# Working on 2D array
array = geek.random.randint(16, size=(4, 4))
print("INPUT ARRAY:\n", array)
# returning Indices of the min element
# as per the indices
'''
[[ 8 13 5 0]
[ 0 2 5 3]
[10 7 15 15]
[ 3 11 4 12]]
^ ^ ^ ^
0 2 4 0 - element
1 1 3 0 - indices
'''
print("\nIndices of min element:", geek.argmin(array, axis = 0))輸出：
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]
代碼3：
# Python Program illustarting
# working of argmin()
import numpy as geek
# Working on 2D array
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)
# Returns min element
print("\narray:", geek.argmin(array))
# First occurrence of an min element is given
print("\nmin ELEMENT INDICES:", geek.argmin(array, axis = 0))輸出：
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]
參考文獻：
https://docs.scipy.org/doc/numpy-dev/reference/generated/numpy.argmin.html#numpy.argmin
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