使用 Python 中的 NumPy 计算一维数组向量的内积

原文:https://www . geeksforgeeks . org/使用 python 中的 numpy 计算一维数组的向量内积/

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

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