numpy.broadcast_to¶

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

Broadcast an array to a new shape.

Parameters:

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.

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]])

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