atleast_3d(*arys)

Parameters

arys1, 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.

Returns

res1, res2, ... : ndarray

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) .

View inputs as arrays with at least three dimensions.

See Also

atleast_1d

atleast_2d

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) # doctest: +SKIP
...
[[[1]
  [2]]] (1, 2, 1)
[[[1]
  [2]]] (1, 2, 1)
[[[1 2]]] (1, 1, 2)

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

numpy.ma.extras.atleast_2d dask.array.routines.atleast_3d numpy.expand_dims numpy.atleast_2d numpy.ma.extras.atleast_1d numpy.atleast_1d

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GitHub : /numpy/core/shape_base.py#139
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