Pandas: sum DataFrame rows for given columns
You can just sum and set param axis=1 to sum the rows, this will ignore none numeric columns:
In [91]:df = pd.DataFrame({'a': [1,2,3], 'b': [2,3,4], 'c':['dd','ee','ff'], 'd':[5,9,1]})df['e'] = df.sum(axis=1)dfOut[91]: a b c d e0 1 2 dd 5 81 2 3 ee 9 142 3 4 ff 1 8If you want to just sum specific columns then you can create a list of the columns and remove the ones you are not interested in:
In [98]:col_list= list(df)col_list.remove('d')col_listOut[98]:['a', 'b', 'c']In [99]:df['e'] = df[col_list].sum(axis=1)dfOut[99]: a b c d e0 1 2 dd 5 31 2 3 ee 9 52 3 4 ff 1 7