shape mismatch: value array of shape (3,) could not be broadcast to indexing result of shape (15804,4)

This error occurs when you are trying to assign a value to an array using indexing, but the shape of the value array does not match the shape of the indexing result. In this case, the value array has a shape of (3,), which means it has three elements, but the indexing result has a shape of (15804,4), which means it has 15804 rows and 4 columns.

To fix this error, you need to make sure that the shape of the value array matches the shape of the indexing result. You can do this by reshaping the value array to match the indexing result, or by using different indexing techniques that result in a shape that matches the value array.

相关问题

shape mismatch: value array of shape (6664,) could not be broadcast to indexing result of shape (6664,1)

This error occurs when there is a mismatch between the shape of the input array and the shape of the indexing result. In this case, the input array has a shape of (6664,), which means it has only one dimension with 6664 elements. However, the indexing result has a shape of (6664,1), which means it has two dimensions with 6664 rows and 1 column.

To fix this error, you need to reshape the input array to match the shape of the indexing result. You can do this by adding a new dimension to the input array using the numpy.newaxis attribute.

For example, if your input array is called arr, you can reshape it like this:

arr = arr[:, np.newaxis]

This will add a new dimension to the input array and reshape it to have a shape of (6664,1), which matches the shape of the indexing result.

shape mismatch: value array of shape (29,) could not be broadcast to indexing result of shape (1,)

这个错误通常是因为你在使用 NumPy 数组时，尝试将一个形状不匹配的数组广播（broadcast）到另一个形状不同的数组上。

可能的原因是你正在尝试将一个形状为 (29,) 的数组赋值给一个形状为 (1,) 的 NumPy 数组的某个元素。这是不允许的，因为两个数组的形状不同，无法直接进行赋值操作。

要解决这个问题，你可以检查一下你的代码，确保你正在使用正确的数组形状，或者使用 NumPy 提供的广播功能来将数组形状进行转换。如果你无法确定如何修改代码，请提供更多的上下文和代码，我可以帮你更具体地指导。