index 3937 is out of bounds for axis 1 with size 3937
时间: 2024-01-03 09:04:40 浏览: 24
这个错误通常表示你正在尝试访问一个数组或矩阵中不存在的索引。这可能是因为你正在尝试访问超出该数组或矩阵大小的索引,或者该数组或矩阵可能是空的。
要解决此问题,你可以检查索引是否正确,并确保数组或矩阵中存在该索引。你还可以检查数组或矩阵是否被正确初始化和填充。如果问题仍然存在,你可以尝试重构代码或使用调试工具来更全面地检查问题。
相关问题
index 1 is out of bounds for axis 1 with size 1
This error message indicates that you are trying to access an element of an array or a list using an index that is larger than the size of the array or list along that axis.
For example, let's say you have an array with shape (3,1) and you try to access the element at index (0,1):
```
import numpy as np
arr = np.array([[1], [2], [3]])
print(arr[0,1]) # trying to access index (0,1) which is out of bounds
```
This will result in the "index 1 is out of bounds for axis 1 with size 1" error message, because the array only has one column (axis 1) and you are trying to access a second column.
To fix this error, make sure you are using valid index values within the bounds of the array or list.
index 115200 is out of bounds for axis 1 with size 115200
这个错误通常出现在使用numpy数组时,当你尝试访问数组中不存在的索引时会出现。这个错误的原因是你正在尝试访问一个超出数组大小的索引。要解决这个问题,你需要确保你的索引值小于数组的大小。你可以使用`shape`属性来检查数组的大小,使用`len()`函数来检查列表的大小。下面是一个例子,演示了如何避免这个错误:
```python
import numpy as np
# 创建一个大小为(3, 3)的numpy数组
arr = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
# 检查数组的大小
print(arr.shape) # 输出:(3, 3)
# 访问一个存在的索引
print(arr[0, 0]) # 输出:1
# 访问一个不存在的索引
print(arr[3, 3]) # 报错:IndexError: index 3 is out of bounds for axis 0 with size 3
```