setting an array element with a sequence. The requested array has an inhomogeneous shape after 2 dimensions.
时间: 2023-09-23 13:06:05 浏览: 64
这个错误通常发生在你尝试将一个序列赋值给一个多维数组的元素时。错误消息中指出,在第2维度之后,请求的数组形状不是均匀的。
这可能是由于以下情况之一引起的:
1. 数组的维度不一致:请确保你正在处理的多维数组的每个维度具有相同的长度。如果长度不一致,会导致无法将一个序列赋值给数组元素。
2. 数组中包含不同类型的元素:多维数组要求所有元素具有相同的数据类型。如果你尝试将一个具有不同数据类型的序列赋值给数组元素,就会出现这个错误。
解决这个问题的方法取决于你的具体情况。你可以检查数组的形状和数据类型,并确保它们是一致的。如果需要,你可以使用NumPy库中的函数来处理和转换数组。
如果你能够提供更多上下文和相关代码,我可以给出更具体的建议来解决你遇到的问题。
相关问题
ValueError: setting an array element with a sequence. The requested array has an inhomogeneous shape after 2 dimensions.
这个错误通常是由于在使用numpy中的np.array将list转为array时,list中的元素数量不一致导致的。在将list转为array时,numpy会尝试将所有元素转为同一类型,如果元素数量不一致,则会出现上述错误。解决方法是确保list中的元素数量一致,或者使用np.asarray()或np.asanyarray()并指定dtype=object参数来创建一个包含不同类型元素的数组。
setting an array element with a sequence. The requested array has an inhomogeneous shape after 2 dimensions. The detected shape was
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.