Dataframe from all possible combinations of values of given categories

Question

I have

{"A":[0,1], "B":[4,5], "C":[0,1], "D":[0,1]}

what I want it

A   B   C   D
0   4   0   0
0   4   0   1
0   4   1   0
0   4   1   1
1   4   0   1

...and so on. Basically all the combinations of values for each of the categories. What would be the best way to achieve this?

Answer 1

If x is your dict:

>>> pandas.DataFrame(list(itertools.product(*x.values())), columns=x.keys())
    A  C  B  D
0   0  0  4  0
1   0  0  4  1
2   0  0  5  0
3   0  0  5  1
4   0  1  4  0
5   0  1  4  1
6   0  1  5  0
7   0  1  5  1
8   1  0  4  0
9   1  0  4  1
10  1  0  5  0
11  1  0  5  1
12  1  1  4  0
13  1  1  4  1
14  1  1  5  0
15  1  1  5  1

If you want the columns in a particular order you'll need to switch them afterwards (with, e.g., df[["A", "B", "C", "D"]].