在 Python 中获取两个多维数组的内积

要获取两个多维数组的内积，请在 Python 中使用 numpy.inner() 方法。1-D 数组向量的普通内积，在更高维度中，是对最后几个轴进行求和乘积。参数是 1 和 b，两个向量。如果 a 和 b 是非标量，它们的最后维度必须匹配。

步骤

首先，导入所需的库 -

import numpy as np

使用 numpy array() 方法创建两个二维数组 −

arr1 = np.array([[5, 10], [15, 20]])
arr2 = np.array([[6, 12], [18, 24]])

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)

要获取两个多维数组的内积，请在 Python 中使用 numpy.inner() 方法。1-D 数组向量的普通内积，在更高维度中，是对最后几个轴进行求和乘积 −

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

示例

import numpy as np

# Creating two numpy Two-Dimensional array using the array() method
arr1 = np.array([[5, 10], [15, 20]])
arr2 = np.array([[6, 12], [18, 24]])

# 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 multi-dimensional arrays, use the numpy.inner() method in Python
print("\nResult (Inner Product)...\n",np.inner(arr1, arr2))

输出

Array1...
[[ 5 10]
[15 20]]

Array2...
[[ 6 12]
[18 24]]

Dimensions of Array1...
2

Dimensions of Array2...
2

Shape of Array1...
(2, 2)

Shape of Array2...
(2, 2)

Result (Inner Product)...
[[150 330]
[330 750]]

AmitDiwan

更新时间：2022-02-25

534 次浏览

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