使用 Python 中的 NumPy 计算一维数组向量的内积
原文:https://www . geeksforgeeks . org/计算 1-d-数组的向量内积-使用 python 中的-numpy-2/
Python 有一个流行的包，叫做 NumPy，用来对一维和多维数组进行复杂的计算。要求两个数组的内积，可以使用 NumPy 包的 inner() 函数。
语法: numpy.inner(array1，array2)
参数:
数组 1，数组 2: 要评估的数组
返回:两个数组的内积
例 1:
蟒蛇 3
# Importing library
import numpy as np
# Creating two 1-D arrays
array1 = np.array([6,2])
array2 = np.array([2,5])
print("Original 1-D arrays:")
print(array1)
print(array2)
# Output
print("Inner Product of the two array is:")
result = np.inner(array1, array2)
print(result)
输出:
Original 1-D arrays:
[6 2]
[2 5]
Inner Product of the two array is:
22
例 2:
蟒蛇 3
# Importing library
import numpy as np
# Creating two 1-D arrays
array1 = np.array([1,3,5])
array2 = np.array([0,1,5])
print("Original 1-D arrays:")
print(array1)
print(array2)
# Output
print("Inner Product of the two array is:")
result = np.inner(array1, array2)
print(result)
输出:
Original 1-D arrays:
[1 3 5]
[0 1 5]
Inner Product of the two array is:
28
例 3:
蟒蛇 3
# Importing library
import numpy as np
# Creating two 1-D arrays
array1 = np.array([1,2,2,8])
array2 = np.array([2,1,0,6])
print("Original 1-D arrays:")
print(array1)
print(array2)
# Output
print("Inner Product of the two array is:")
result = np.inner(array1, array2)
print(result)
输出:
Original 1-D arrays:
[1 2 2 8]
[2 1 0 6]
Inner Product of the two array is:
52
