How to use multi-dimensional arrays in Python?

There are multiple ways to use multi-dimensional arrays in Python, here are some commonly used methods.

1. Nested lists: using lists of lists to represent multi-dimensional arrays. For example, the following code can be used to create a 3×3 two-dimensional array:
2. An array consisting of three subarrays, each containing a sequence of numbers from 1 to 9.
3. The NumPy library in Python is commonly used for scientific computing, providing a high-performance multidimensional array object called ndarray. The following code can be used to create a 3×3 two-dimensional array.
4. Using the numpy library, create a two-dimensional array with values 1 to 9.
5. “Pandas library: Pandas is a commonly used library in Python for data analysis, providing a high-performance and user-friendly data structure called DataFrame that can represent multidimensional arrays. The following code can be used to create a 3×3 two-dimensional array:”
6. Create a dataframe using pandas library with an array containing the values 1, 2, 3, 4, 5, 6, 7, 8, 9.

Each method has its own strengths and weaknesses, and the choice of which method to use depends on the specific requirements and circumstances.