获取Python中一维数组与二维数组的内积

要获取两个数组的内积，在Python中使用numpy.inner()方法。对于1-D数组的普通内积，在更高维度中，是最后一个轴的和积。参数是1和b，两个向量。如果a和b是非标量的，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的一维数组 –

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)

使用numpy.inner()方法来获取两个数组的内积。

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]]]