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"]]
.