i'm looking for a solution for group data after the use of the unique numpy function.
I think an example is better :

```
>>> t
[[0, 3, 4], [1, 2, 8], [1, 2, 8]] #array of multiples values
>>> ids = ['A', 'B', 'C'] #Ids associated with previous values
>>> np.unique(t, axis=0)
array([[0, 3, 4],
       [1, 2, 8]]) #Result of unique (so 2 rows ofc)
>>> array([['A'],
           ['B', 'C']]) #What i want to got (and generated with numpy ideally)

```

Thank you very much for your help.