获取一维和二维数组的内积

要获取两个数组的内积，在 Python 中使用 numpy.inner() 方法。向量的一般内积是一维数组，高维度中是对最后轴的和积。参数是 a 和 b，两个向量。如果 a 和 b 为非标量，则它们的最后一个维度必须匹配。

步骤

首先，导入所需的库 −

import numpy as np

使用 array() 方法创建两个 numpy 一维数组 −

arr1 = np.arange(2).reshape((1,1,2))
arr2 = np.arange(6).reshape((3,2))

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)

要获取两个数组的内积，请使用 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.arange(2).reshape((1,1,2))
arr2 = np.arange(6).reshape((3,2))

# 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...
[[[0 1]]]

Array2...
[[0 1]
[2 3]
[4 5]]

Dimensions of Array1...
3

Dimensions of Array2...
2

Shape of Array1...
(1, 1, 2)

Shape of Array2...
(3, 2)

Result (Inner Product)...
[[[1 3 5]]]

AmitDiwan

更新于: 2022 年 3 月 2 日

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