could not broadcast input array from shape (31,71) into shape (31,)

这个错误信息通常是由于在广播操作中形状不一致引起的。在 Numpy 中，广播操作需要所有参与计算的数组形状一致，或是在某一维度上的形状为 1 。你可以检查你的代码，在进行广播操作时是否有数组形状不一致的情况出现，或是某个数组的某个维度大小不为1。如果有，你可以使用 reshape 函数调整形状，或是使用 expand_dims 函数来添加维度，以满足广播的要求。

相关问题

could not broadcast input array from shape (12) into shape (16)

This error message indicates that you are trying to perform a broadcasting operation on two NumPy arrays that have incompatible shapes. Specifically, you are trying to broadcast an array with 12 elements into an array with 16 elements, which is not possible.

To fix this error, you need to ensure that the shapes of the arrays are compatible for broadcasting. One way to do this is to reshape the array with 12 elements to have the same shape as the array with 16 elements, or vice versa.

For example, if you have an array with shape (12,) and you want to broadcast it with an array with shape (4, 4), you can reshape the first array to have shape (4, 3) using the `reshape` method:

import numpy as np

a = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12])
b = np.zeros((4, 4))

a_reshaped = a.reshape((4, 3))
result = a_reshaped + b

Alternatively, you could reshape the second array to have shape (12,) using the `flatten` method:

import numpy as np

a = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12])
b = np.zeros((4, 4))

b_flat = b.flatten()
result = a + b_flat

Both of these approaches will ensure that the arrays have compatible shapes for broadcasting.

解释下could not broadcast input array from shape (12) into shape (16)

这个错误提示意味着在某个代码中，程序试图将一个形状为（12）的数组广播（broadcast）成一个形状为（16）的数组，但这是不可能的。

广播是一种在数组之间自动执行的操作，它允许在不进行显式复制的情况下，对不同形状的数组进行运算。但是，在进行广播操作时，数组的形状必须满足一定的条件，才能被成功地广播。

在这种情况下，形状为（12）的数组无法被广播成形状为（16）的数组，因为它们的长度不匹配。可能需要检查代码中的数组维度，并确保它们具有相同的长度或符合广播条件。