Convert multiple arrays to single array with new dimension

Question

I have 4 different numpy array's (2Dimension) and each array have the size (112,20). How can I convert (concatenate) them, to one array with 3 Dimension and the size of (112, 20, 4). Thanks for your support!

Does this answer your question? [Concatenate two numpy arrays in the 4th dimension](https://stackoverflow.com/questions/8898471/concatenate-two-numpy-arrays-in-the-4th-dimension) — Trenton McKinney, Aug 11 '22 at 18:04

T C Molenaar · Answer 1 · 2022-08-12T07:14:13.300

0

Use np.stack((arr1, arr2, arr3, arr4), axis=2):

arr1 = np.zeros((2,5))
arr2 = np.ones((2,5))
arr3 = np.ones((2,5))*2
arr4 = np.ones((2,5))*3

v = np.stack((arr1, arr2, arr3, arr4), axis=2)

v.shape returns (2, 5, 4)

Output:

array([[[0., 1., 2., 3.],
        [0., 1., 2., 3.],
        [0., 1., 2., 3.],
        [0., 1., 2., 3.],
        [0., 1., 2., 3.]],

       [[0., 1., 2., 3.],
        [0., 1., 2., 3.],
        [0., 1., 2., 3.],
        [0., 1., 2., 3.],
        [0., 1., 2., 3.]]])

edited Aug 12 '22 at 07:14

answered Aug 11 '22 at 12:47

T C Molenaar

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add an `axis` parameter to get his desired shape. I like to 'prove' my answers with an example. – hpaulj Aug 11 '22 at 14:34
I was a bit lazy, you're absolutely right – T C Molenaar Aug 12 '22 at 07:14
@PeterHacker can you 'accept' the answer and upvote? :D – T C Molenaar Aug 16 '22 at 13:44

Convert multiple arrays to single array with new dimension

1 Answers1