setting an array element with a sequence. The requested array has an inhomogeneous shape after 2 dimensions. The detected shape was
时间: 2023-10-13 15:08:32 浏览: 354
This error usually occurs when you are trying to assign a sequence (such as a list or tuple) to an element in a NumPy array, but the sequence has an incompatible shape.
For example, consider the following code:
```
import numpy as np
a = np.zeros((2, 3, 4))
b = [1, 2, 3]
a[0, 0] = b
```
In this case, we are trying to assign the list `b` to the first slice of the first row of `a`, but `b` only has length 3, so it is incompatible with the shape of that slice.
To fix this error, you can either ensure that the sequence you are trying to assign has the same shape as the target slice, or you can use NumPy functions like `reshape` or `resize` to reshape the sequence to the desired shape before assigning it to the array. For example:
```
a[0, 0, :3] = b
```
This assigns the first three elements of `b` to the first row and first slice of `a`, which have a compatible shape.
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