python 3.x - Better way to swap column values and then append them in a pandas dataframe?

Question

here is my dataframe

import pandas as pd
data = {'from':['Frida', 'Frida', 'Frida', 'Pablo','Pablo'], 'to':['Vincent','Pablo','Andy','Vincent','Andy'],
       'score':[2, 2, 1, 1, 1]} 
df = pd.DataFrame(data)
df

I want to swap the values in columns 'from' and 'to' and add them on because these scores work both ways.. here is what I have tried.

df_copy = df.copy()
df_copy.rename(columns={"from":"to","to":"from"}, inplace=True)
df_final = df.append(df_copy)

which works but is there a shorter way to do the same?

Answer 1

One line could be :

df_final = df.append(df.rename(columns={"from":"to","to":"from"}))