获取 Python 中两个一维数组的内积

若要获取两个数组的内积，在 Python 中使用 numpy.inner() 方法。对于一维数组，向量的普通内积；在高维度中，对最后一个轴执行总和积。参数为两个向量 a 和 b。如果 a 和 b 是非标量，它们的最后一个维度必须匹配。

步骤

首先，导入必要的库。

import numpy as np

使用 array() 方法创建两个 numpy 一维数组。

arr1 = np.array([5, 10, 15])
arr2 = np.array([20, 25, 30])

显示数组。

print("Array1...\n",arr1)
print("\nArray2...\n",arr2)

检查两个数组的维度。

print("\nDimensions of Array1...\n",arr1.ndim)
print("\nDimensions of Array2...\n",arr2.ndim)

检查两个数组的形状。

print("\nShape of Array1...\n",arr1.shape)
print("\nShape of Array2...\n",arr2.shape)

若要获取两个数组的内积，在 Python 中使用 numpy.inner() 方法。

print("\nResult (Inner Product)...\n",np.inner(arr1, arr2))

示例

import numpy as np

# Creating two numpy One-Dimensional array using the array() method
arr1 = np.array([5, 10, 15])
arr2 = np.array([20, 25, 30])

# Display the arrays
print("Array1...\n",arr1)
print("\nArray2...\n",arr2)

# Check the Dimensions of both the arrays
print("\nDimensions of Array1...\n",arr1.ndim)
print("\nDimensions of Array2...\n",arr2.ndim)

# Check the Shape of both the arrays
print("\nShape of Array1...\n",arr1.shape)
print("\nShape of Array2...\n",arr2.shape)

# To get the Inner product of two arrays, use the numpy.inner() method in Python

# Ordinary inner product of vectors for 1-D arrays, in higher dimensions a sum product over the last axes.
print("\nResult (Inner Product)...\n",np.inner(arr1, arr2))

输出

Array1...
[ 5 10 15]

Array2...
[20 25 30]

Dimensions of Array1...
1

Dimensions of Array2...
1

Shape of Array1...
(3,)

Shape of Array2...
(3,)

Result (Inner Product)...
800

AmitDiwan

更新于： 2022-02-25

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