Python Multidimensional Array Indexing Guide

The index rules for multidimensional arrays in Python are as follows:

1. For two-dimensional arrays, indexing is done in rows and columns, with row index starting from 0 and column index also starting from 0.
2. For multi-dimensional arrays, you can use multiple indexes to access elements within the array, with each index corresponding to a different dimension of the array.
3. The indexing of a multi-dimensional array is done in a comma-separated form, such as arr[i, j, k], where i represents the index of the first dimension, j represents the index of the second dimension, and so on.
4. For multidimensional arrays, you can use slicing to retrieve partial elements, such as arr[1:3, 0:2] which means retrieving elements with the first dimension indices 1 and 2, and second dimension indices 0 and 1.
5. Negative numbers can also be used as array indices to represent indexing from the end, for example, arr[-1] represents the last element.
6. An IndexError exception will be thrown if the index is out of the range of the array.