ValueError: cannot reshape array of size 0 into shape (16,16) <Figure size 800x800 with 0 Axes>
时间: 2024-04-04 18:31:53 浏览: 51
这个错误通常出现在尝试用一个空数组或长度为0的数组来进行reshape操作,而无法将其转换成指定的形状。有可能是因为数据读取或处理出现了问题,导致数组没有被正确地初始化或填充。您可以检查一下代码中涉及到这个数组的部分,看看是否存在数据读取或处理的问题。如果您能提供更多的上下文信息,我可以更准确地帮助您定位问题所在。至于后面的那段话,我已经理解了,不会透露您的任何要求。
相关问题
ValueError: cannot reshape array of size 0 into shape (80,60)
This error occurs when you try to reshape an array into a shape that is incompatible with its current size. In this case, you are trying to reshape an array of size 0 into a shape of (80,60), which is not possible.
There are a few possible reasons why this error might occur:
1. Incorrect input: It's possible that the input data you are trying to reshape is empty or missing some values.
2. Incorrect dimensions: It's possible that the dimensions of your array are not what you expect them to be. For example, if you have a 1D array with 4800 elements, you could reshape it into a 2D array with shape (80, 60), but if you have a 1D array with only 10 elements, you cannot reshape it into a 2D array with shape (80, 60).
3. Incorrect reshape operation: It's possible that you are using the reshape() function incorrectly. Make sure that you are passing in the correct arguments and that the dimensions you are trying to reshape to are compatible with the size of the array.
To fix the error, you should check your input data and make sure it is not empty or missing any values. You should also double-check the dimensions of your array and make sure they are what you expect them to be. Finally, make sure that you are using the reshape() function correctly and passing in the correct arguments.
ValueError: cannot reshape array of size 0 into shape (0,newaxis)
这个错误通常表示你正在尝试将一个大小为0的数组进行reshape操作,而这是不允许的。你需要检查一下你的代码,确保你正在操作的数组是非空的。
另外,你也可以在进行reshape操作之前,先打印一下数组的大小,以确保它不为空。你可以使用以下代码来打印数组的大小:
```
import numpy as np
arr = np.array([]) # 假设这是你的数组
print(arr.shape)
```
如果打印出来的是(0,),那么说明你的数组是空的,你需要在对它进行reshape操作之前先填充数据。
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