IndexError: too many indices for array
时间: 2024-05-13 20:15:08 浏览: 82
这个错误通常表示您正在尝试使用太多的索引来访问数组中的元素。这可能是因为您正在使用的索引超出了数组的维数。
例如,如果您有一个一维数组,您只能使用一个索引来访问该数组中的元素,例如:
```
arr = [1, 2, 3]
print(arr[0]) # 输出 1
print(arr[1]) # 输出 2
print(arr[2]) # 输出 3
print(arr[3]) # IndexError: list index out of range
```
如果您尝试使用两个索引来访问该数组中的元素,例如:
```
arr = [1, 2, 3]
print(arr[0][0]) # IndexError: too many indices for array
```
那么就会引发“IndexError: too many indices for array”错误。
请检查您是否正确地使用了索引,并且没有超出数组的维数。
相关问题
IndexError: too many indices for array: array is 2-dimensional, but 3 were indexed
这个错误通常出现在将一个二维数组当成三维数组使用时。请检查你的代码,看看是否有将一个二维数组使用了三个索引的情况。
例如,如果你的数组是`arr`,本来应该使用`arr[i][j]`来访问某个元素,但是你错误地使用了`arr[i][j][k]`,就会出现这个错误。
另外,如果你使用了类似`arr[i,j,k]`的写法,它会被解释为`arr[(i,j,k)]`,即将`(i,j,k)`作为一个整体作为索引,因此也会出现这个错误。
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.
阅读全文