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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.

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]])

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