expand numpy array with a new dimension [duplicate]

Question

arr = np.array([[1,2],
                [2,3],
                [5,6]])

Is there any numpy function to clone the above 2d array into 3d array as shown below? If not, how to do it with multiple steps?

bb = np.?????(arr, 3)
>> print(bb)

[[[1,2],
   [2,3],
   [5,6]],
 [[1,2],
  [2,3],
  [5,6]],
 [[1,2],
  [2,3],
  [5,6]]]

While the dimension expansion is different, I explored some alternatives in stackoverflow.com/q/78106933/901925 — hpaulj
– hpaulj, Commented Apr 7, 2024 at 23:37

Ammar · Accepted Answer · 2024-04-08 00:20:26Z

1

You can make your own custom function like this:

import numpy as np
arr = np.array([[1,2],
                [2,3],
                [5,6]])
def to_3d(arr, n): 
    l = (arr for _ in range(n))
    return np.array(list(l))
print (to_3d(arr, 3))

Output:

[[[1 2]
  [2 3]
  [5 6]]

 [[1 2]
  [2 3]
  [5 6]]

 [[1 2]
  [2 3]
  [5 6]]]

edited Apr 8, 2024 at 0:20

answered Apr 8, 2024 at 0:11

Ammar

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