numpy.broadcast_to#

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.

See also

broadcast
broadcast_arrays
broadcast_shapes

Notes

New in version 1.10.0.

Examples

>>> x = np.array([1, 2, 3])
>>> np.broadcast_to(x, (3, 3))
array([[1, 2, 3],
       [1, 2, 3],
       [1, 2, 3]])