IndexError: too many indices for array: array is 1-dimensional, but 2 were indexed

这个错误通常是由于尝试使用超过数组维度的索引来访问数组元素。例如，对于一个一维数组，只能使用一个索引来访问其元素，而尝试使用两个索引（例如 arr[0][1]）来访问数组元素时，就会出现这个错误。

以下是一个示例代码，会出现这个错误：

import numpy as np

arr = np.array([1, 2, 3])
print(arr[0][1])

输出结果为：

IndexError: too many indices for array: array is 1-dimensional, but 2 were indexed

解决方法是使用正确的索引方式来访问数组元素。对于一维数组，只需要使用一个索引即可。对于多维数组，需要使用多个索引来访问数组元素，例如 arr[0, 1]。

相关问题

IndexError: too many indices for array: array is 0-dimensional, but 1 were indexed

This error occurs when you try to access an element of an array using too many indices. The error message indicates that the array is 0-dimensional, meaning it has no shape or size, but you are trying to access it as if it has one dimension.

For example, if you have an array `a` that is 0-dimensional, you cannot access its elements using an index:

a = np.array(10)
a[0] # Raises IndexError: too many indices for array

To fix this error, you need to make sure you are accessing the array with the correct number of indices based on its shape. If the array is 0-dimensional, you can access its value directly without using an index.

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

This error occurs when trying to access an element in a numpy array with too many indices. Numpy arrays are typically 1 or 2-dimensional, so trying to access an element with 3 or more indices will result in this error.

For example:

import numpy as np

a = np.array([[1, 2], [3, 4]])

# This will return the element at row index 0 and column index 1
print(a[0, 1]) # output: 2

# This will result in an IndexError because there are too many indices
print(a[0, 1, 0]) # IndexError: too many indices for array

To fix this error, make sure that you are using the correct number of indices when accessing elements in a numpy array.