I’m new to DS, is it possible please to compare two different DFs, with the same results output as in df.compare(df2)?

I tried using df.compare(df2), like ‘L’ with ‘R’, and ‘L’ with ‘N’ – below – but received the following error message:

ValueError: Can only compare identically-labeled (both index and columns) DataFrame objects

`
L = pd.DataFrame(
{
  'FellowshipID': [1001, 1002, 1003, 1004],
  'FirstName': ['Frodo', 'Samwise', 'Gandalf', 'Pippin'], 
  'Skills': ['Hiding', 'Gardening', 'Spells', 'Fireworks']
}    
)

R = pd.DataFrame(
    {
        'FellowshipID': [1001, 1002, 1006, 1007, 1008], 
        'FirstName': ['Frodo', 'Samwise', 'Legolas', 'Elrond', 'Barromir'], 
        'Age': [50, 39, 2931, 6520, 51]    
    }
)


N = pd.DataFrame(
    data = {
        'Relation': ['fri 1', 'fri 2', 'fri 3', 'fri 4'],
        'Name': ['John', 'Jane', 'Adam', 'Omar'],
        'Char': ['Hw', 'Amb', 'Adv', 'Sprt']
    }
)

`

Thank you 🙂