Find unique rows in numpy.array

Question

I need to find unique rows in a numpy.array.

For example:

>>> a # I have
array([[1, 1, 1, 0, 0, 0],
       [0, 1, 1, 1, 0, 0],
         


        

Answer 1

np.unique when I run it on np.random.random(100).reshape(10,10) returns all the unique individual elements, but you want the unique rows, so first you need to put them into tuples:

array = #your numpy array of lists
new_array = [tuple(row) for row in array]
uniques = np.unique(new_array)

That is the only way I see you changing the types to do what you want, and I am not sure if the list iteration to change to tuples is okay with your "not looping through"