ValueError: cannot reshape array of size 226560000 into shape (1,15000,59,1)
时间: 2024-05-19 22:13:18 浏览: 12
This error occurs because the input array has a size of 226560000, which cannot be reshaped into the desired shape of (1,15000,59,1).
The desired shape indicates that the input array should have 1 sample, with 15000 rows, 59 columns, and 1 channel. However, the current size of the input array is much larger than what is required for this shape.
To resolve this error, you can try checking the input array's shape and size to ensure that it matches the expected input shape. Additionally, you may need to preprocess or resize the input data to match the desired shape.
相关问题
ValueError: cannot reshape array of size 502850 into shape (50285,1)
This error message occurs when you try to reshape an array into a shape that is not compatible with its original size. In this specific case, the array has a size of 502850, which means it contains 502850 elements. However, you are trying to reshape it into a shape of (50285,1), which would make it a 2-dimensional array with 50285 rows and 1 column, for a total of 50285 elements. Since 502850 is not evenly divisible by 50285, the reshape operation cannot be performed.
To fix this error, you need to choose a shape that is compatible with the original size of the array. For example, you could reshape it into a shape of (10057,50), which would create a 2-dimensional array with 10057 rows and 50 columns, for a total of 502850 elements. Alternatively, you could reshape it into a shape of (502850,), which would create a 1-dimensional array with 502850 elements.
ValueError: cannot reshape array of size 3 into shape (2,1)
对不起,我之前给出的代码有误。如果你想要将形状为(3, )的一维数组转换为形状为(3, 1)的列向量矩阵,你可以这样修改代码:
```python
import numpy as np
A = np.array([RMS_1, FFZ, K])
A = A.reshape((3, 1))
```
这样就可以将A转换成一个3行1列的矩阵。请注意,原始数组的大小应与要转换的形状相匹配,否则会出现`ValueError`错误。
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