How to remove duplicates from loop results in Python Pandas DataFrame?

Question

I have Python Data Frame like below:

df = pd.DataFrame({"ID1" : [1,2,3], "ID2" : [44,55,66]})

Then I create loop like below:

s_list = list()
t_list = list()

for s in df["ID1"].values:
    for t in df["ID2"].values:
        s_list.append(s)
        t_list.append(t)
        
        result = pd.DataFrame()
        result["res1"] = s_list
        result["res2"] = t_list
result

Neverheless result of this loop is like below:

And I need to repare this loop so as to acheive result like this (so identical combination ID1 x ID2 like in df):

Answer 1

Try the pandas .to_list() method instead of a using loop.

df = pd.DataFrame({"ID1" : [1,2,3], "ID2" : [44,55,66]})
s_list = df["ID1"].to_list()
t_list = df["ID2"].to_list()

The result is the following:

s_list = [1, 2, 3]
t_list = [44, 55, 66]

Both s_list and t_list are now lists. Test it out by print(type(your_list)) which results in <class 'list'>