non-broadcastable output operand with shape (24123,1) doesn't match the broadcast shape (24123,8)
时间: 2024-05-06 21:15:16 浏览: 21
这个错误通常是因为在运算时两个数组的形状不兼容导致的。具体来说,你可能在尝试对一个形状为 (24123,1) 的数组和一个形状为 (24123,8) 的数组进行运算,但是这两个数组的形状不兼容。因为这两个数组的行数相同,但列数不同,所以无法进行元素级别的运算。
解决这个问题的方法是确保你的两个数组的形状兼容。你可以使用 NumPy 的广播(broadcasting)机制来实现这一点。广播机制可以在不改变数组数据的情况下,自动将形状不同的数组转换为相同的形状,以便进行元素级别的运算。
例如,如果你想将一个形状为 (24123,1) 的二维数组和一个形状为 (24123,8) 的二维数组相加,你可以将第一个数组复制 8 次,使其形状变为 (24123,8),然后再进行相加运算。你可以使用以下代码实现这一点:
```python
import numpy as np
# 定义两个数组
a = np.ones((24123, 1))
b = np.ones((24123, 8))
# 将 a 复制 8 次,使其形状变为 (24123,8)
a_broadcasted = np.broadcast_to(a, (24123, 8))
# 对两个数组进行相加运算
c = a_broadcasted + b
```
这样,你就可以顺利地进行数组运算了。
相关问题
non-broadcastable output operand with shape (50,1) doesn t match the broadcast shape (50,5)
This error occurs when you are trying to perform a broadcast operation on two arrays with incompatible shapes. In this case, the output operand has a shape of (50,1) which means it has 50 rows and 1 column, while the broadcast shape has a shape of (50,5) which means it has 50 rows and 5 columns.
Broadcasting is a way to perform operations on arrays with different shapes by stretching or duplicating one or more of the arrays to match the shape of the other. However, in this case, the arrays cannot be broadcasted because they have different numbers of columns.
To fix this error, you need to reshape one of the arrays to have the same number of columns as the other. You can use the numpy.reshape() function to do this. For example, if you want to reshape the output operand to have the same shape as the broadcast shape, you can use the following code:
```
import numpy as np
# create two arrays with incompatible shapes
a = np.ones((50,1))
b = np.ones((50,5))
# reshape the output operand to have the same shape as the broadcast shape
a = np.reshape(a, (50,5))
# perform the broadcast operation
c = a + b
```
This code will reshape the output operand to have the same shape as the broadcast shape, and then perform the broadcast operation without any errors.
non-broadcastable output operand with shape (37,1) doesn't match the broadcast shape (37,8)
这个错误通常是由于两个数组在某个维度上的形状不兼容导致的。具体来说,你的第一个数组的形状是 (37,1),第二个数组的形状是 (37,8),在进行某些操作时,这两个数组需要具有相同的形状才能进行广播运算。在这种情况下,Python 会尝试将第一个数组的形状扩展为 (37,8),以使得两个数组具有相同的形状,但是由于第一个数组的形状是 (37,1),无法直接扩展为 (37,8),因此会报错。
要解决这个问题,你需要检查你的代码,找出哪些操作导致了这个错误,并检查操作涉及的数组的形状是否兼容。你可能需要使用 NumPy 的 reshape() 函数来改变数组的形状,或者使用 NumPy 的广播规则来使得两个数组具有相同的形状。
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