NumPy: concat/stack ndarrays of different size [duplicate]

Question

I have multiple different sized ndarrays (e.g. a = np.arange(3), b = np.arange(4) which I'd like to concat/stack to one ndarray res with the dtype ndarray:

> res
array([array([0, 1, 2]), array([0, 1, 2, 3])], dtype=np.ndarray)

Is there a way to achieve this?

That's not concatenating. That's an object array containing arrays, a bastardized list. — hpaulj
– hpaulj, Commented Aug 6, 2020 at 15:06
Why do you want to combine these arrays into one? What advantage would it have over a list? — hpaulj
– hpaulj, Commented Aug 6, 2020 at 16:11

Antony Kulchikovsky · Accepted Answer · 2020-08-06 14:40:43Z

0

Considering answer Merge two numpy array's of different shape into a single array you can use function concatenate from numpy module:

a = np.arange(3)
b = np.arange(4)
c = np.concatenate((a, b))

answered Aug 6, 2020 at 14:40

Antony Kulchikovsky

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2 Comments

jim Over a year ago

this results to array([0, 1, 2, 0, 1, 2, 3]), not array([array([0, 1, 2]), array([0, 1, 2, 3])], dtype=np.ndarray)

Antony Kulchikovsky Over a year ago

Probably like that c = np.array([a,b], dtype=object) ?

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