在Python中使用NumPy计算一维数组的向量内积

Python有一个流行的包叫NumPy，用来对一维和多维数组进行复杂的计算。为了找到两个数组的内积，我们可以使用NumPy包的inner()函数。

语法: numpy.inner(array1, array2)

参数:

array1, array2:要评估的数组

返回：两个数组的内积。

示例 1:

# 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

示例 2:

# 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

示例 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