index 115200 is out of bounds for axis 1 with size 115200
时间: 2024-01-04 09:03:02 浏览: 23
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
```
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 5 is out of bounds for axis 1 with size 5
This error message typically occurs when trying to access an element or index in a NumPy array or a Python list that does not exist. In this specific case, it suggests that the array or list has a size of 5, but the code is trying to access index 5, which is actually the sixth element (since indexing starts at 0).
For example, if we have a NumPy array with five elements:
```python
import numpy as np
arr = np.array([1, 2, 3, 4, 5])
```
If we try to access the element at index 5:
```python
arr[5]
```
We will get the "index out of bounds" error message, because the highest index in the array is 4 (for the fifth element):
```
IndexError: index 5 is out of bounds for axis 0 with size 5
```
To fix this error, we need to make sure that we are accessing valid indices within the array or list.