tile(A, reps)

This docstring was copied from numpy.tile.

Some inconsistencies with the Dask version may exist.

If :None:None:`reps` has length d , the result will have dimension of max(d, A.ndim) .

If A.ndim < d , A is promoted to be d-dimensional by prepending new axes. So a shape (3,) array is promoted to (1, 3) for 2-D replication, or shape (1, 1, 3) for 3-D replication. If this is not the desired behavior, promote A to d-dimensions manually before calling this function.

If A.ndim > d , :None:None:`reps` is promoted to A.ndim by pre-pending 1's to it. Thus for an A of shape (2, 3, 4, 5), a :None:None:`reps` of (2, 2) is treated as (1, 1, 2, 2).

Parameters

A : array_like

The input array.

reps : array_like

The number of repetitions of A along each axis.

Returns

c : ndarray

The tiled output array.

Construct an array by repeating A the number of times given by reps.

See Also

broadcast_to

Broadcast an array to a new shape

repeat

Repeat elements of an array.

Examples

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

>>> a = np.array([0, 1, 2])  # doctest: +SKIP
... np.tile(a, 2)  # doctest: +SKIP
array([0, 1, 2, 0, 1, 2])

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

>>> np.tile(a, (2, 2))  # doctest: +SKIP
array([[0, 1, 2, 0, 1, 2],
       [0, 1, 2, 0, 1, 2]])

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

>>> np.tile(a, (2, 1, 2))  # doctest: +SKIP
array([[[0, 1, 2, 0, 1, 2]],
       [[0, 1, 2, 0, 1, 2]]])

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

>>> b = np.array([[1, 2], [3, 4]])  # doctest: +SKIP
... np.tile(b, 2)  # doctest: +SKIP
array([[1, 2, 1, 2],
       [3, 4, 3, 4]])

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

>>> np.tile(b, (2, 1))  # doctest: +SKIP
array([[1, 2],
       [3, 4],
       [1, 2],
       [3, 4]])

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

>>> c = np.array([1,2,3,4])  # doctest: +SKIP
... np.tile(c,(4,1))  # doctest: +SKIP
array([[1, 2, 3, 4],
       [1, 2, 3, 4],
       [1, 2, 3, 4],
       [1, 2, 3, 4]])

See :

Back References

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

dask.array.creation.repeat

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