Search for duplicated rows in two numpy arrays with different length (Python)

Question

I have two numpy arrays with different length.

array([['A', 'B'],
       ['C', 'D'],
       ['E', 'F']])


array([['B', 'A'],
       ['C', 'E']])

What I want is to see is if they have common rows, BUT not consider the order. So in the above two arrays, 'A' 'B' and 'B' 'A' are duplicates.

PaulS · Accepted Answer · 2023-01-06 20:55:45Z

1

A possible solution, where a1 and a2 are the first and second arrays, respectively:

a1[np.isin(a1, a2).all(axis=1)]

Output:

array([['A', 'B']], dtype='<U1')

answered Jan 6, 2023 at 20:55

PaulS

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