numpy.broadcast_to — NumPy v2.2 Manual (original) (raw)

numpy.broadcast_to(array, shape, subok=False)[source]#

Broadcast an array to a new shape.

Parameters:

arrayarray_like

The array to broadcast.

shapetuple or int

The shape of the desired array. A single integer i is interpreted as (i,).

subokbool, optional

If True, then sub-classes will be passed-through, otherwise the returned array will be forced to be a base-class array (default).

Returns:

broadcastarray

A readonly view on the original array with the given shape. It is typically not contiguous. Furthermore, more than one element of a broadcasted array may refer to a single memory location.

Raises:

ValueError

If the array is not compatible with the new shape according to NumPy’s broadcasting rules.

Examples

import numpy as np x = np.array([1, 2, 3]) np.broadcast_to(x, (3, 3)) array([[1, 2, 3], [1, 2, 3], [1, 2, 3]])