atleast_3d(*arys)

This docstring was copied from numpy.atleast_3d.

Some inconsistencies with the Dask version may exist.

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

This example is valid syntax, but we were not able to check execution

>>> np.atleast_3d(3.0)  # doctest: +SKIP
array([[[3.]]])

This example is valid syntax, but we were not able to check execution

>>> x = np.arange(3.0)  # doctest: +SKIP
... np.atleast_3d(x).shape  # doctest: +SKIP
(1, 3, 1)

This example is valid syntax, but we were not able to check execution

>>> x = np.arange(12.0).reshape(4,3)  # doctest: +SKIP
... np.atleast_3d(x).shape  # doctest: +SKIP
(4, 3, 1)

This example is valid syntax, but we were not able to check execution

>>> np.atleast_3d(x).base is x.base  # x is a reshape, so not base itself  # doctest: +SKIP
True

This example is valid syntax, but we were not able to check execution

>>> for arr in np.atleast_3d([1, 2], [[1, 2]], [[[1, 2]]]):  # doctest: +SKIP
...     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.

dask.array.routines.atleast_1d dask.array.routines.atleast_2d

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