# numpy.broadcast_to

numpy.broadcast_to(array, shape, subok=False)

  Broadcast an array to a new shape.

  Parameters:
    array array_like

      The array to broadcast.

    shape tuple or int

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

    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.

  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]])