dpnp.dstack

dpnp.dstack(tup)[source]

Stack arrays in sequence depth wise (along third axis).

This is equivalent to concatenation along the third axis after 2-D arrays of shape (M, N) have been reshaped to (M, N, 1) and 1-D arrays of shape (N,) have been reshaped to (1, N, 1). Rebuilds arrays divided by dpnp.dsplit.

For full documentation refer to numpy.dstack.

Parameters:

tup ({dpnp.ndarray, usm_ndarray}) -- One or more array-like sequences. The arrays must have the same shape along all but the third axis. 1-D or 2-D arrays must have the same shape.

Returns:

out -- The array formed by stacking the given arrays, will be at least 3-D.

Return type:

dpnp.ndarray

See also

dpnp.concatenate

Join a sequence of arrays along an existing axis.

dpnp.vstack

Stack arrays in sequence vertically (row wise).

dpnp.hstack

Stack arrays in sequence horizontally (column wise).

dpnp.column_stack

Stack 1-D arrays as columns into a 2-D array.

dpnp.stack

Join a sequence of arrays along a new axis.

dpnp.block

Assemble an ndarray from nested lists of blocks.

dpnp.dsplit

Split array along third axis.

Examples

>>> import dpnp as np
>>> a = np.array((1, 2, 3))
>>> b = np.array((4, 5, 6))
>>> np.dstack((a, b))
array([[[1, 4],
        [2, 5],
        [3, 6]]])

>>> a = np.array([[1], [2], [3]])
>>> b = np.array([[4], [5], [6]])
>>> np.dstack((a, b))
array([[[1, 4]],
       [[2, 5]],
       [[3, 6]]])