numpy.broadcast_to

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

Broadcast an array to a new shape.

Parameters:	array : array_like The array to broadcast. shape : tuple The shape of the desired array. subok : bool, 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:	broadcast : array 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.

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]])