Pandas: Transform dataframe to show if a combination of values exists in the orignal Dataframe

Question

I have a Dataframe that looks like this:

 | Col 1 | Col 2 | 
0|   A   |   2   |
1|   A   |   3   |
2|   B   |   1   |
3|   B   |   2   |

an

Answer 1

Here's a pivot solution:

(df.pivot('Col 1', 'Col 2', 'Col 1').fillna(0) != 0).rename_axis(index=None, columns=None)

         1     2      3
A      False  True   True
B       True  True  False