Python numpy.argmin()
Python numpy.argmin()方法返回数组中最小元素在特定axis上的下标。
语法 :
numpy.argmin(array, axis = None, out = None)
参数 :
array : 输入数组来工作。
axis : [int, optional]沿着一个指定的轴,如0或1。
out : [array optional]提供了一个插入输出到out数组的功能,它应该是适当的形状和dtype。
返回 :
与array.shape相同形状的数组,去掉了沿轴线的维度,是数组的索引。
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 illustrating
# 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 illustrating
# 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]