ValueError: cannot reshape array of size 150528 into shape (1,672)

这个错误通常是由于试图将一个大小为150528的数组重塑为(1, 672)的形状时引起的。这通常是由于在使用reshape函数时输入的形状与数组的大小不兼容所导致的。

请检查代码中使用reshape函数的位置，并确保输入的形状与数组大小相匹配。您也可以尝试在reshape函数中使用-1作为参数，以便让函数自动计算适当的形状。例如，如果您想将大小为150528的数组重塑为(1, 672)的形状，您可以使用reshape(-1, 672)。

相关问题

ValueError: cannot reshape array of size 1 into shape (3000,1)

这个错误通常发生在你试图将一个大小为 1 的数组重塑为形状为 (3000, 1) 的数组时。

这个错误发生的原因可能是你的原始数组的大小不足以创建一个形状为 (3000, 1) 的数组。请检查你的代码，确保你正在使用正确的数组和正确的尺寸。

你可以尝试使用 `numpy` 库的 `resize()` 方法将数组调整为正确的大小。例如，如果你有一个名为 `arr` 的大小为 1 的数组，你可以使用以下代码将其调整为形状为 (3000, 1) 的数组：

import numpy as np

arr = np.resize(arr, (3000, 1))

这将调整 `arr` 的大小，使其具有形状为 (3000, 1) 的数组。请注意，这将改变数组中的值，因此请确保在调整大小之前备份原始数组。

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.