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I have an array:

one = np.array([[1], [0]])

How arr can be created such that, every element of arr would be equal to one?

If I do:

arr = one * 4

Due to broadcasting above statement doesn't give the desired behavior.

2
  • What's the shape of arr supposed to be? With lists * 4 is a replication, but with arrays it is plain numeric multiplication. Commented Mar 3, 2019 at 22:17
  • @hpaulj I accepted the answer, it does exactly what I wanted Commented Mar 3, 2019 at 22:20

1 Answer 1

2

Use repeat:

np.repeat(one[np.newaxis, ...], 4, axis=0)

Alternatively, you can try broadcast_to. This will be faster but read-only:

np.broadcast_to(one, (4, *one.shape))
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