Python - Delete duplicates in a dataframe based on two columns combinations?

Question

I have a dataframe with 3 columns in Python:

Name1 Name2 Value
Juan  Ale   1
Ale   Juan  1

and would like to eliminate the duplicates based

Answer 1

You can convert to frozenset and use pd.DataFrame.duplicated.

res = df[~df[['Name1', 'Name2']].apply(frozenset, axis=1).duplicated()]

print(res)

  Name1 Name2  Value
0  Juan   Ale      1

frozenset is necessary instead of set since duplicated uses hashing to check for duplicates.

Scales better with columns than rows. For a large number of rows, use @Wen's sort-based algorithm.