如何在 NumPy 1d-array 中找到最大值和最小值?
让我们看看在 NumPy 一维数组中找到最大值和最小值的各种方法。
方法一:使用 NumPy 库的numpy.amax()和numpy.amin()函数。
- numpy.amax():此函数返回数组的最大值或沿轴的最大值(如果提到)。
- numpy.amin():此函数返回数组的最小值或沿轴的最小值(如果提到)。
例子:
Python3
# import library
import numpy as np
# create a numpy 1d-array
array = np.array([1, 2, 3,
0, -1, -2])
# find max element in an array
max_ele = np.amax(array)
# find min element in an array
min_ele = np.amin(array)
# show the outputs
print("Given Array:", array)
print("Max Element:", max_ele)
print("Min Element:", min_ele)
Python3
# import library
import numpy as np
# create a numpy 1d-array
array = np.array([1, 2, 3,
0, -1, -2])
# find index of max element
# in an array
max_ele_index = np.argmax(array)
# find max element in an array
max_ele = array[max_ele_index]
# find index of min element
# in an array
min_ele_index = np.argmin(array)
# find min element in an array
min_ele = array[min_ele_index]
# show the outputs
print("Given Array:", array)
print("Max Element:", max_ele)
print("Min Element:", min_ele)
输出:
Given Array: [ 1 2 3 0 -1 -2]
Max Element: 3
Min Element: -2
方法二:使用 NumPy 库的numpy.argmax()和numpy.argmin()函数。
- numpy.argmax():此函数返回特定轴中数组的最大元素的索引(如果提到)。
- numpy.argmin():此函数返回特定轴中数组的最小元素的索引(如果提到)。
例子:
Python3
# import library
import numpy as np
# create a numpy 1d-array
array = np.array([1, 2, 3,
0, -1, -2])
# find index of max element
# in an array
max_ele_index = np.argmax(array)
# find max element in an array
max_ele = array[max_ele_index]
# find index of min element
# in an array
min_ele_index = np.argmin(array)
# find min element in an array
min_ele = array[min_ele_index]
# show the outputs
print("Given Array:", array)
print("Max Element:", max_ele)
print("Min Element:", min_ele)
输出:
Given Array: [ 1 2 3 0 -1 -2]
Max Element: 3
Min Element: -2