# xorbits.numpy.atleast_3d#

xorbits.numpy.atleast_3d(*tensors)[source]#

View inputs as arrays with at least three dimensions.

Parameters
• arys1 (array_like) – One or more array-like sequences. Non-array inputs are converted to arrays. Arrays that already have three or more dimensions are preserved.

• arys2 (array_like) – One or more array-like sequences. Non-array inputs are converted to arrays. Arrays that already have three or more dimensions are preserved.

• ... (array_like) – One or more array-like sequences. Non-array inputs are converted to arrays. Arrays that already have three or more dimensions are preserved.

Returns

res1, res2, … – An array, or list of arrays, each with `a.ndim >= 3`. Copies are avoided where possible, and views with three or more dimensions are returned. For example, a 1-D array of shape `(N,)` becomes a view of shape `(1, N, 1)`, and a 2-D array of shape `(M, N)` becomes a view of shape `(M, N, 1)`.

Return type

ndarray

Examples

```>>> np.atleast_3d(3.0)
array([[[3.]]])
```
```>>> x = np.arange(3.0)
>>> np.atleast_3d(x).shape
(1, 3, 1)
```
```>>> x = np.arange(12.0).reshape(4,3)
>>> np.atleast_3d(x).shape
(4, 3, 1)
>>> np.atleast_3d(x).base is x.base  # x is a reshape, so not base itself
True
```
```>>> for arr in np.atleast_3d([1, 2], [[1, 2]], [[[1, 2]]]):
...     print(arr, arr.shape)
...
[[
]] (1, 2, 1)
[[
]] (1, 2, 1)
[[[1 2]]] (1, 1, 2)
```

This docstring was copied from numpy.