`numpy:tile`

source: /numpy/lib/_shape_base_impl.py :1199

Signature

def tile ( A , reps )

Summary

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

Extended Summary

If 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, reps is promoted to A.ndim by prepending 1's to it. Thus for an A of shape (2, 3, 4, 5), a reps of (2, 2) is treated as (1, 1, 2, 2).

NoteAlthough tile may be used for broadcasting, it is strongly recommended to use numpy's broadcasting operations and functions.

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.

Examples

import numpy as np
a = np.array([0, 1, 2])
np.tile(a, 2)
np.tile(a, (2, 2))

✓

np.tile(a, (2, 1, 2))

✗

b = np.array([[1, 2], [3, 4]])
np.tile(b, 2)
np.tile(b, (2, 1))

✓

c = np.array([1,2,3,4])
np.tile(c,(4,1))

✓

Aliases

numpy.tile