Michael - 1 year ago 49

Python Question

Suppose I have a 3D **Numpy** array:

`a = np.array([[[0, 1], [2, 3]], [[4, 5], [6, 7]]])`

Now, I'd like to get rid of dimension 0, by concatenating the elements along current dimension 1 (= new dimension 0). So I'd end up with the following array:

`[[0, 1], [2, 3], [4, 5], [6, 7]]`

(I might also want to do this along another dimension.)

Basically, it's no big deal to do it with

`reshape`

Answer Source

One approach would be with `np.vstack`

as it stacks vertically (row wise) -

```
np.vstack(a)
```

Even `np.concatenate`

works too as by default it concatenates along the first axis -

```
np.concatenate(a)
```

Stating the reshaping based one too for completeness -

```
a.reshape(-1,a.shape[-1])
```