AttributeError: 'list' object has no attribute 'reshap'

这个错误提示表明你在一个列表对象上调用了 `reshap` 方法，但是列表对象并没有这个方法。可能是你想要对一个 numpy 数组进行形状变换，但是你传入的是一个列表对象。

解决方法是将列表对象转换为 numpy 数组，然后再进行形状变换。可以使用 `numpy.array` 函数将列表转换为数组，例如：

import numpy as np

my_list = [1, 2, 3, 4, 5, 6]
my_array = np.array(my_list)
my_reshaped_array = my_array.reshape((2, 3))

相关问题

AttributeError: list object has no attribute iloc

`iloc` is an attribute of a Pandas DataFrame or Series object, not a list object.

If you are trying to access a specific element within a list, you can use indexing to retrieve the element at a specific position. For example, if you have a list `my_list` and you want to retrieve the element at index 0, you can use `my_list[0]`.

If you are trying to use `iloc` on a DataFrame or Series object but are receiving this error, it may be because you are trying to apply it to a list object instead. Make sure you have properly converted your data to a Pandas DataFrame or Series before trying to use the `iloc` attribute.

AttributeError: list object has no attribute squeeze

AttributeError: list object has no attribute squeeze是因为在列表对象上调用squeeze方法，而列表对象并没有squeeze方法。squeeze方法是numpy数组对象的方法，用于从数组的形状中删除单维度条目。如果想要使用squeeze方法，需要将列表对象转换为numpy数组对象。

以下是一个例子：

import numpy as np

# 将列表转换为numpy数组
a = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
print(a)

# 使用squeeze方法删除单维度条目
b = np.squeeze(a)
print(b)