Issues with np.unique /u/Hung003 Python Education

when using the unique function for a 2D array I need it to stop swapping values for the sub arrays:

array([[ 0. , 0. ],
[-0.25049165, 3.99214904],
[-3.99214904, -0.25049165],
…,
[ 3.99214904, 0.25049165],
[ 0.25049165, -3.99214904],
[ 0. , 0. ]])

using:

np.array(np.unique(np.sort(solution, axis=1), axis=0))

before I rounded to 4 dp for the first column and 5 to the second:

array([[-3.99215, -0.2505 ],
[-3.99215, 0.2505 ],
[-3.9921 , -0.25049],
[-3.9921 , 0.25049],
[-0.2505 , 3.99215],
[-0.25049, 3.9921 ],
[ 0. , 0. ],
[ 0.25049, 3.9921 ],
[ 0.2505 , 3.99215]])

but as we can see some of the first column is to 5dp because it swaps as it needs to be 8 unique combos of +/- 0.25.. and +/- 3.99.. , and 0,0 as a residue to the code, how do i stop the swap?

when using the unique function for a 2D array I need it to stop swapping values for the sub arrays:

array([[ 0. , 0. ],
[-0.25049165, 3.99214904],
[-3.99214904, -0.25049165],
…,
[ 3.99214904, 0.25049165],
[ 0.25049165, -3.99214904],
[ 0. , 0. ]])

using:

np.array(np.unique(np.sort(solution, axis=1), axis=0))

before I rounded to 4 dp for the first column and 5 to the second:

array([[-3.99215, -0.2505 ],
[-3.99215, 0.2505 ],
[-3.9921 , -0.25049],
[-3.9921 , 0.25049],
[-0.2505 , 3.99215],
[-0.25049, 3.9921 ],
[ 0. , 0. ],
[ 0.25049, 3.9921 ],
[ 0.2505 , 3.99215]])

but as we can see some of the first column is to 5dp because it swaps as it needs to be 8 unique combos of +/- 0.25.. and +/- 3.99.. , and 0,0 as a residue to the code, how do i stop the swap?