numpy.argmin(array，axis = None，out = None)：返回特定轴上数组min元素的索引。

参数：

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.

代码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))

输出：

INPUT ARRAY:

[0 1 2 3 4 5 6 7]

Indices of min element: 0

代码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))

输出：

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]

代码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))

输出：

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]