How are multidimensional arrays implemented?

In Python, multidimensional arrays can be implemented through nested lists, using indexes to access elements. This structure allows for more complex storage and organization of data and is suitable for practical use cases such as computing matrix multiplications.

Implementation of multidimensional array

Overview

Multidimensional array is a kind of data A structure, which is an array of array elements. This allows you to store and organize data in more complex ways than a one-dimensional array.

Implementation

In Python, you can use nested lists to implement multidimensional arrays. For example, create a two-dimensional array with three elements:

array = [[1, 2, 3], [4, 5, 6], [7, 8, 9]]

Accessing elements

You can use indexing to access elements in a multidimensional array. For example, access the first element:

print(array[0][0])  # 输出：1

Practical case

Here is an example of using multi-dimensional arrays to calculate matrix multiplication:

# 创建两个矩阵
matrix1 = [[1, 2], [3, 4]]
matrix2 = [[5, 6], [7, 8]]

# 创建一个结果矩阵来存储结果
result = [[0, 0], [0, 0]]

# 遍历矩阵并计算乘积
for i in range(len(matrix1)):
    for j in range(len(matrix2[0])):
        for k in range(len(matrix2)):
            result[i][j] += matrix1[i][k] * matrix2[k][j]

# 打印结果矩阵
for row in result:
    print(row)

Output:

[19 22]
[43 50]

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