将三维列表转换为numpy数组

Question

我想把一个3D列表转换成一个numpy数组。

当我尝试使用np.array（list）或np.asarray（list）时，它给出的是2D numpy形状数组（6,10）。

我怎样才能得到三维的numpy数组（比如形状应该是（6,10,10）。有人能帮我解决这个问题吗。

下面是我要转换的列表

[[[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]]]