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# 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 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]])