How to create a one-hot-encoded dataframe of all possible combinations of X columns?

Question

I have a pandas dataframe with 0 rows and 58 columns, but for the sake of illustration let's assume I have a dataframe with 0 rows and 3 columns that looks like this:

col1	col2	col3

I need to expand this table to represent all possible combinations of one-hot-encoded vectors like this:

col1	col2	col3
0	0	0
1	1	1
0	1	0
1	1	0
1	0	0
0	0	1
0	1	1

How can I do this in python?

Answer 1

You can use itertools.product:

from itertools import product

pd.DataFrame(list(product(*([[0,1]]*len(df.columns))) ), columns=df.columns)

Output:

   col1  col2  col3
0     0     0     0
1     0     0     1
2     0     1     0
3     0     1     1
4     1     0     0
5     1     0     1
6     1     1     0
7     1     1     1