tile(A, reps)
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).
The tiled output array.
Construct an array by repeating A the number of times given by reps.
broadcast_to
Broadcast an array to a new shape
repeat
Repeat elements of an array.
>>> a = np.array([0, 1, 2])
... np.tile(a, 2) array([0, 1, 2, 0, 1, 2])
>>> np.tile(a, (2, 2)) array([[0, 1, 2, 0, 1, 2], [0, 1, 2, 0, 1, 2]])
>>> np.tile(a, (2, 1, 2)) array([[[0, 1, 2, 0, 1, 2]], [[0, 1, 2, 0, 1, 2]]])
>>> b = np.array([[1, 2], [3, 4]])
... np.tile(b, 2) array([[1, 2, 1, 2], [3, 4, 3, 4]])
>>> np.tile(b, (2, 1)) array([[1, 2], [3, 4], [1, 2], [3, 4]])
>>> c = np.array([1,2,3,4])See :
... np.tile(c,(4,1)) array([[1, 2, 3, 4], [1, 2, 3, 4], [1, 2, 3, 4], [1, 2, 3, 4]])
The following pages refer to to this document either explicitly or contain code examples using this.
numpy.repeat
skimage.restoration.inpaint.inpaint_biharmonic
dask.array.creation.tile
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