Sum of several columns from a pandas dataframe

Question

So say I have the following table:

In [2]: df = pd.DataFrame({\'a\': [1,2,3], \'b\':[2,4,6], \'c\':[1,1,1]})

In [3]: df
Out[3]: 
   a  b  c
0  1  2  1
1  2  4           


        

Answer 1

Maybe you are looking something like this:

df["result"] = df.apply(lambda row: row['a' : 'c'].sum(),axis=1)