ValueError: cannot reshape array of size 98 into shape (9,9)为什么
时间: 2024-06-07 18:06:54 浏览: 11
这个错误通常是因为你试图将一个大小为98的数组重塑为一个形状为(9,9)的数组,但是这两个形状不兼容。换句话说,这意味着你尝试使用不正确的维度大小来重塑数组。
请检查你的代码,确保你正在使用正确的数组大小和形状来执行重塑操作。你可以使用`numpy.reshape()`函数来重塑numpy数组。确保你提供的新形状大小与原始数组中的数据大小匹配,这样你的代码才能正常运行。
相关问题
ValueError: cannot reshape array of size 200 into shape (896)
This error message is indicating that you are attempting to reshape an array with 200 elements into a shape that requires 896 elements. This is not possible because the new shape requires more elements than are available in the original array.
To fix this error, you will need to adjust the shape that you are trying to reshape the array into so that it matches the number of elements in the original array. Alternatively, you can adjust the size of the original array so that it matches the desired shape.
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.