Pandas Equivalent SQL CROSS JOIN (Cartesian product)

Question

Let's say I had two tables:

Table1:

   col1  col2
      0     1
      2     3

Table2:

   col3  col4
      5     6
      7     8

In SQL, if I made the following expression:

Select *
From Table1, Table2;

I would expect to return a table with all the combinations from both tables:

col1 col2 col3 col4
   0    1    5    6
   0    1    7    8
   2    3    5    6
   2    3    7    8

Is there a way to do the same with two data files in pandas?

Answer 1

The standard idiom uses mergein a dummy column.

df1.assign(foo=1).merge(df2.assign(foo=1)).drop('foo', 1)

   col1  col2  col3  col4
0     0     1     5     6
1     0     1     7     8
2     2     3     5     6
3     2     3     7     8