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
Notes
New in version 1.10.0.
Examples
>>> import numpy as np >>> x = np.array([1, 2, 3]) >>> np.broadcast_to(x, (3, 3)) array([[1, 2, 3], [1, 2, 3], [1, 2, 3]])