将3D列表转换为numpy数组

Question

我想将3D列表转换为numpy数组。

当我尝试使用np.array（list）或np.asarray（list）时，它会给出2D numpy数组形状（6,10）。

我怎么能得到3维的numpy数组（比如形状应该是（6,10,10）。有人可以帮我解决这个问题。

我试图转换的列表如下所述

[[[0L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L]
[0L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L]
[0L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L]
[0L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L]
[0L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L]
[0L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L]
[0L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L]
[0L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L]
[0L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L]
[0L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L]]
[[0L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L]
[0L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L]
[0L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L]
[0L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L] [4L]
[0L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L]
[0L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L]
[0L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L]
[0L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L]
[0L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L]]
[[0L, 1L, 2L] [0L, 1L, 2L] [0L, 1L, 2L] [0L, 1L, 2L, 3L]
[0L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L]
[0L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L]
[0L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L]
[0L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L]
[0L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L]
[0L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L]]
[[0L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L]
[0L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L]
[0L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L]
[0L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L]
[0L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L]
[0L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L]
[0L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L]
[0L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L]
[0L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L]
[0L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L]]
[[0L, 1L, 2L, 3L] [0L, 1L, 2L, 3L] [0L, 1L, 2L, 3L] [0L, 1L, 2L, 3L]
[0L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L]
[0L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L]
[0L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L]
[0L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L]
[0L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L]
[0L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L]]
[[0L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L]
[0L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L]
[0L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L]
[0L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L]
[0L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L]
[0L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L]
[0L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L]
[0L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L]
[0L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L]
[0L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L]]]

Answer 1

如果您构建一个2D列表并使用np.array()将其转换为numpy，它将返回一个具有2维的numpy数组。

如果你构建一个3D列表并使用np.array()将其转换为numpy，它将返回一个3维的numpy数组。

最小的工作示例：

my_list = [[[0,1,2],[0,1,2]],[[0,1,2],[0,1,2]]]
my_list

[[[0, 1, 2], [0, 1, 2]], [[0, 1, 2], [0, 1, 2]]]

my_np_array = np.array(my_list)
my_np_array.shape

(2, 2, 3)

Answer 2

那是因为这不是3D列表。列表有格式[item，item]; 2D列表将是[[]，[]]。上面的文件中没有内部级别分隔符（'，'）。将它加载到python中，你得到一个6,10元组，第一个有效的条目，之后没有逗号，所以错误输出。