too many indices for array: array is 2-dimensional, but 3 were indexed啥意思

这个错误通常出现在使用 numpy 数组时，试图使用超过数组维度的索引来访问元素。比如，如果你有一个 2 维数组，但是你使用 3 个索引来访问它，就会出现这个错误。

例如，如果你有一个形状为 (3, 4) 的数组 a，你可以使用 a[0] 或 a[1, 2] 来访问它的元素。但是，如果你使用 a[0, 1, 2]，就会出现这个错误。

要解决这个问题，你需要检查你的代码，确保你使用正确数量的索引来访问数组的元素。

相关问题

too many indices for array: array is 2-dimensional, but 3 were indexed

This error occurs when you try to access an element of a multi-dimensional array using too many indices.

For example, if you have a 2-dimensional array with dimensions (3,4) and you try to access element (1,2,3), you will get this error because there are only 2 dimensions in the array, not 3.

To fix this error, make sure you are using the correct number of indices to access the element you want. If you are unsure how many indices to use, check the dimensions of your array.

IndexError: too many indices for array: array is 2-dimensional, but 3 were indexed

This error message indicates that you are trying to access an element in a NumPy array using too many indices.

For example, suppose you have a 2-dimensional array (matrix) with shape (3, 3), and you try to access an element using three indices like this:

import numpy as np

arr = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
elem = arr[1, 2, 0]  # this will raise an IndexError

In this case, the `arr[1, 2, 0]` statement is trying to access an element at row 1, column 2, and depth 0 (which doesn't exist because the array is only 2-dimensional).

To fix this error, make sure you are using the correct number of indices for your array. For a 2-dimensional array, you should only use two indices (one for the row and one for the column).